Pekcan, Mehmet Önder

Loading...
Profile Picture
Name Variants
Mehmet Onder Pekcan
Mehmet Onder, Pekcan
Mehmet Önder Pekcan
Pekcan ö.
P., Mehmet Önder
Pekcan, MEHMET ÖNDER
Pekcan,Mehmet Onder
Pekcan, M. Ö.
Mehmet Önder PEKCAN
P., Mehmet Onder
PEKCAN, Mehmet Önder
Pekcan, Mehmet Onder
Pekcan,M.Ö.
M. Ö. Pekcan
MEHMET ÖNDER PEKCAN
M. Pekcan
Pekcan, M.
PEKCAN, MEHMET ÖNDER
PEKCAN Ö.
Pekcan N.
Pekcan Ö.
Pekcan, Mehmet Önder
Pekcan O.
P.,Mehmet Onder
Pekcan,M.O.
Pekcan, Önder
Pekcan, Onder
Pekcan, Oonder
Job Title
Prof. Dr.
Email Address
Main Affiliation
Molecular Biology and Genetics
Status
Former Staff
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

15

LIFE ON LAND
LIFE ON LAND Logo

0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

0

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

3

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

9

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

0

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

0

Research Products

2

ZERO HUNGER
ZERO HUNGER Logo

0

Research Products

10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

0

Research Products

13

CLIMATE ACTION
CLIMATE ACTION Logo

0

Research Products

1

NO POVERTY
NO POVERTY Logo

0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

3

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

1

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products
Documents

377

Citations

4708

h-index

35

Documents

389

Citations

4766

Scholarly Output

123

Articles

108

Views / Downloads

671/10975

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

1069

Scopus Citation Count

1123

WoS h-index

15

Scopus h-index

15

Patents

0

Projects

0

WoS Citations per Publication

8.69

Scopus Citations per Publication

9.13

Open Access Source

69

Supervised Theses

0

JournalCount
Journal of Macromolecular Science, Part B10
Phase Transitions8
Polymer Composites8
Polymer Bulletin7
Progress in Organic Coatings6
Current Page: 1 / 13

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 10 of 123
  • Article
    Citation - WoS: 7
    Citation - Scopus: 6
    Investigation of Pst-Mwcnt Concentration on Epoxyacrylate Photopolymerization and Conductivity of Polymer Films
    (Elsevier Science SA, 2013) Doğruyol, Zekeriya; Temel, Gökhan; Doğruyol, Sevnur Keskin; Pekcan, Önder; Arsu, Nergis
    Photopolymerization kinetics and conductivity changes of epoxyacrylate composites for various loading modified PSt-MWCNT weight fractions changing from 0.0025 to 0.2 wt.% were evaluated by performing photo differential scanning calorimetry (photo-DSC) and four point conductivity measurements. 0.2% PSt-MWCNT additive polymeric films had their electrical conductivity boosted by 6% more than non-additive polymeric films. (C) 2012 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    The Role of Pyranine in Characterization of Paam-Kappa C Composites by Using Fluorescence Technique
    (Springer/Plenum Publishers, 2011) Evingür, Gülşen Akın; Pekcan, Önder
    Polyacrylamide (PAAm) doped by kappa-carrageenan (kappa C) gels were prepared with various amounts of kappa C varying in the range between 0 wt.% and 3 wt.%. Steady-state fluorescence (SSF) technique was employed for studying sol-gel transition and swelling of PAAm-kappa C composite gels which were prepared by free-radical crosslinking copolymerization. Pyranine was introduced as a fluorescence probe. Pyranine molecules start to bind to acrylamide polymer chains upon the initiation of the polymerization thus the spectra of the bonded pyranines shift to the shorter wavelengths. Fluorescence spectra from the bonded pyranines allow one to monitor the sol-gel transition and to test the universality of the sol-gel transition as a function of some kinetic parameters like polymer concentration. Observations around the gel point t (c) for PAAm-kappa C composite gels showed that the gel fraction exponent beta obeyed the percolation result for low kappa C (< 2.0 wt. %) however classical results were produced at higher kappa C (> 2.0 wt.%). On the other hand fluorescence intensity of pyranine was measured during in situ swelling process at various amounts of kappa C and it was observed that fluorescence intensity values decreased as swelling is proceeded. Li-Tanaka equation was used to determine the swelling time constants tau and cooperative diffusion coefficients D.
  • Book Part
    Citation - WoS: 4
    Conductivity Percolation of Carbon Nanotubes in Polyacrylamide Gels
    (Intech Europe, 2011) Pekcan, Önder; Evingür, Gülşen Akın
    [Abstract Not Available]
  • Article
    Citation - WoS: 13
    Citation - Scopus: 13
    In Situ Steady State Fluorescence (ssf) Technique To Study Drying of Paam Hydrogels Made of Various Cross-Linker Contents
    (Elsevier Science, 2009) Evingür, Gülşen Akın; Aktas, Demet Kaya; Pekcan, Önder
    Drying experiments of polyacrylamide (PAAm) gels were performed using steady-state fluorescence (SSF) spectrometer. Pyranine (P) was introduced as a fluorescence probe and intensity of P from various crosslinker content gel samples was monitored. It was observed that the intensity of P increased during the in situ drying processes. Gravimetrical and volumetric experiments were also performed. An empirical model was derived and introduced to determine the desorption coefficient D of water molecules from the drying PAAm gels. It is observed that D increased as the cross-linker content was increased. (c) 2008 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 7
    Drying of Polyacrylamide Composite Gels Formed With Various Kappa- Carrageenan Content
    (Springer/Plenum Publishers, 2011) Evingür, Gülşen Akın; Pekcan, Önder
    Drying of polyacrylamide (PAAm)-kappa-carrageenan (kappa C) composite gels were monitored by using steady-state fluorescence technique. Disc shaped gels were formed from acrylamide (AAm) and N N'- methylenebisacrylamide(Bis) with various kappa- carrageenan (kappa C) contents by free radical crosslinking copolymerization in water. Pyranine (P) was doped as a fluorescence probe and scattered light I (sc) and fluorescence intensities I were monitored during drying of these gels. It is observed that fluorescence intensity of pyranine increased as drying time is increased for all samples. The increase in I was modeled using Stern- Volmer equation and diffusion with moving boundary. It is found that desorption coefficient D decreased as kappa C contents were increased. Supporting gravimetrical and volumetric experiments were also carried out during drying of PAAm- kappa C composite gels.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Decoding Rhythmic Complexity: a Nonlinear Dynamics Approach via Visibility Graphs for Classifying Asymmetrical Rhythmic Frameworks of Turkish Classical Music
    (Elsevier Science inc, 2025) Mirza, Fuat Kaan; Baykas, Tuncer; Hekimoglu, Mustafa; Pekcan, Onder; Tuncay, Gonul Pacaci
    The non-isochronous, hierarchical rhythmic cycles (usuls) of Turkish Classical Music (TCM) exhibit emergent temporal structures that challenge conventional rhythm analysis based on metrical regularity. To address this challenge, this study presents a complexity-oriented framework for usul classification, grounded in nonlinear time series analysis and network-based representations. Rhythmic signals are processed through energy envelope extraction, diffusion entropy analysis, and spectral transformations to capture multiscale temporal dynamics. Visibility graphs (VGs) are constructed from these representations to encode underlying structural complexity and temporal dependencies. Features derived from VG adjacency matrices serve as complexity-sensitive descriptors and enable high-accuracy classification (0.99) across 40 usul classes and 628 compositions. Energy envelope-derived graphs provide the most discriminative information, highlighting the importance of amplitude modulation in encoding rhythmic structure. Beyond classification, the analysis reveals self-organizing patterns and signatures of complexity, such as quasi-periodicity, scale-dependent variability, and entropy saturation, suggesting that usuls function as adaptive, nonlinear systems rather than metrically constrained patterns. The topological features extracted from the resulting graphs align with theoretical constructs from complexity science, such as modularity and long-range temporal correlations. This positions usul as an exemplary case for studying structured temporal complexity in cultural artifacts through the lens of dynamical systems. These findings contribute to computational rhythm analysis by demonstrating the efficacy of complexity measures in characterizing culturally specific rhythmic systems.
  • Article
    A Novel Multiscale Graph Signal Processing and Network Dynamics Approach to Vibration Analysis for Stone Size Discrimination via Nonlinear Manifold Embeddings and a Convolutional Self-Attention Model
    (Springer Wien, 2025) Mirza, Fuat Kaan; Oz, Usame; Hekimoglu, Mustafa; Aydemir, Mehmet Timur; Pural, Yusuf Enes; Baykas, Tuncer; Pekcan, Onder
    Understanding nonlinear dynamics is critical for analyzing the hidden complexities of vibrational behavior in real-world systems. This study introduces a graph-theoretic approach to analyze the complex nonlinear temporal patterns in vibrational signals, utilizing the Tri-Axial Vibro-Dynamic Stone Classification dataset. This dataset captures high-resolution acceleration signals from controlled stone-crushing experiments, providing a unique opportunity to investigate temporal dynamics associated with distinct stone sizes. A 12-level Maximal Overlap Discrete Wavelet Transform is employed to perform multiscale signal decomposition, enabling the construction of transition graphs that encode transient and stable structural characteristics. Conceptually, transition graphs are analyzed as dynamic networks to uncover the interactions and temporal patterns embedded within vibrational signals. These networks are studied using a comprehensive suite of complexity metrics derived from information theory, graph theory, network science, and dynamical systems analysis. Metrics such as Shannon and Von Neumann's entropy evaluate signal dynamics' stochasticity and information retention. At the same time, the spectral radius measures the network's stability and structural robustness. Lyapunov exponents and fractal dimensions, informed by chaos theory and fractal geometry, further capture the degree of nonlinearity and temporal complexity. Complementing these dynamic measures, static network metrics-including the clustering coefficient, modularity, and the static Kuramoto index-offer critical discernment into the network's community structures, synchronization phenomena, and connectivity efficiency. Manifold learning techniques address the high-dimensional feature space derived from complexity metrics, with UMAP outperforming ISOMAP, Spectral Embedding, and PCA in preserving critical data structures. The reduced features are input into a convolutional self-attention model, combining localized feature extraction with long-term sequence modeling, achieving 100% classification accuracy across stone-size categories. This study presents a comprehensive framework for vibrational signal analysis, integrating multiscale graph-based representations, nonlinear dynamics quantification, and UMAP-based dimensionality reduction with a convolutional self-attention classifier. The proposed approach supports accurate classification and contributes to the development of data-driven tools for automated diagnostics and predictive maintenance in industrial and engineering contexts.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Optical and Mechanical Properties of Pnipam-Mwcnts and Pnipam-Go Composites
    (Wiley, 2023) Unver, Batuhan; Pekcan, Onder; Evingur, Gulsen Akin
    The aim of this study is to investigate drying, swelling, elastic properties, and to produce optical band gap energies on the performance of Poly (N-Isopropyl acrylamide) - Multi walled carbon nanotubes (PNIPAm - MWCNTs) and Poly (N-Isopropyl acrylamide)- Graphene Oxide (PNIPAm-GO) composites, respectively. The composites were prepared by free radical crosslinking copolymerization. Drying and swelling of PNIPAm-MWCNTs and PNIPAm- GO composites were performed by using steady state fluorescence technique. Firstly, the desorption coefficients of the composites were modeled by using Fick's Law. Cooperative diffusion coefficients were calculated by employing Li-Tanaka Model. When composite doped with 10 wt% of MWCNTs has a higher desorption coefficient than composite doped with the same amount of GO, 40wt% of GO content in the PNIPAm has a higher diffusion coefficient than the composite that has 40wt% of MWCNTs content in the swelling process. Secondly, the composite that has 40wt% of MWCNTs content has a higher modulus before swelling than the composite that has the same amount of GO contents. Lastly, optical band gap energies were calculated by using Tauc's approach, and Urbach's relation by using the data performed UV Spectroscopy. We found that PNIPAm -GO has a much narrower band gap value.
  • Article
    Citation - WoS: 1
    Chaotic - Deterministic or Random Nature of Earthquakes: a Phase Space Analysis
    (Symmetrion, 2023) Pekcan, Onder; Arsan, Taner
    Using the phase space approach, time series analysis of high EV1 and low EV2 intense two different earthquakes that occurred at the nearly same precise spot, at different times, and were measured with the same sensor of a broadband station were studied. Time series data of strong, large (EV1) and weak, small (EV2) two earthquake events were analyzed by dividing them into three different regions. Fractal dimensions of the EV1 and EV2 were produced using the box-counting algorithm for east-west (BHE), north-south (BHN), and vertical (BHZ) components. The small, weak earthquake, EV2, created a larger fractal dimension in phase space by implying its random nature in all regions. However, EV1 is a strong, large earthquake that presents deterministic oscillatory behavior at a long-time region. Oscillatory behavior can be named surface wave. EV2 exhibits weak, high-frequency ground oscillations similar to fibrillation before and after the earthquake in the long-term areas.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 6
    Slow Release of Trapped Homopolymers From a Swelling Polymeric Gel: a Fluorescence Study
    (Taylor & Francis Inc, 2008) Erdoğan, Matem; Yağcı, Yusuf; Pekcan, Önder
    In-situ steady-state fluorescence experiments were performed for studying slow release of pyrene-labeled polystyrene chains from polystyrene gels formed by free-radical crosslinking copolymerization. Atom transfer radical polymerization was used to produce the pyrene end-capped polystyrene chains. In order to load the pyrene end-capped polystyrene chains into the gel disc-shaped gels were left in toluene solutions of pyrene end-capped polystyrene chains of various molecular weights. These swollen gels were redried in air and then immersed in pure toluene solution for monitoring slow release from the gel. These reswelling experiments were performed at room temperature in real time by monitoring the pyrene emission intensity using steady-state fluorescence measurements. Slow-release diffusion coefficients were measured and found to decrease as the crosslink density of the gels increased. It was observed that higher molecular weight pyrene end-capped polystyrene chains released much faster than low molecular ones during the slow-release process.