Onur Şeref

1.2k total citations
40 papers, 648 citations indexed

About

Onur Şeref is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Onur Şeref has authored 40 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Onur Şeref's work include Face and Expression Recognition (6 papers), Imbalanced Data Classification Techniques (4 papers) and Neural Networks and Applications (4 papers). Onur Şeref is often cited by papers focused on Face and Expression Recognition (6 papers), Imbalanced Data Classification Techniques (4 papers) and Neural Networks and Applications (4 papers). Onur Şeref collaborates with scholars based in United States, Italy and Ukraine. Onur Şeref's co-authors include O. Erhun Kundakcioglu, Pãnos M. Pardalos, Antonio Mucherino, Christopher W. Zobel, Yuhong Li, Dean C. Chatfield, Pãnos M. Pardalos, Claudio Cifarelli, Mario Rosario Guarracino and Petros Xanthopoulos and has published in prestigious journals such as Operations Research, International Journal of Production Economics and Pattern Recognition.

In The Last Decade

Onur Şeref

35 papers receiving 620 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Onur Şeref United States 12 294 149 103 100 99 40 648
Gaoji Sun China 14 484 1.6× 42 0.3× 51 0.5× 291 2.9× 47 0.5× 35 769
Boris Kovalerchuk United States 13 343 1.2× 30 0.2× 133 1.3× 102 1.0× 29 0.3× 98 761
James N.K. Liu Hong Kong 12 232 0.8× 30 0.2× 230 2.2× 51 0.5× 27 0.3× 28 774
Mohamed Abdel-Basset Egypt 9 245 0.8× 35 0.2× 61 0.6× 50 0.5× 26 0.3× 30 678
Dechen Zhan China 13 191 0.6× 90 0.6× 140 1.4× 17 0.2× 108 1.1× 89 725
Zuzana Komínková Oplatková Czechia 15 331 1.1× 22 0.1× 81 0.8× 67 0.7× 15 0.2× 105 705
Chin Soon Chong Singapore 15 390 1.3× 43 0.3× 40 0.4× 96 1.0× 65 0.7× 30 1.0k
Xianshun Chen Singapore 7 545 1.9× 24 0.2× 93 0.9× 276 2.8× 17 0.2× 14 874
Yihua Chen China 8 259 0.9× 14 0.1× 147 1.4× 112 1.1× 32 0.3× 27 790

Countries citing papers authored by Onur Şeref

Since Specialization
Citations

This map shows the geographic impact of Onur Şeref's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Onur Şeref with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Şeref more than expected).

Fields of papers citing papers by Onur Şeref

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur Şeref. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Onur Şeref. The network helps show where Onur Şeref may publish in the future.

Co-authorship network of co-authors of Onur Şeref

This figure shows the co-authorship network connecting the top 25 collaborators of Onur Şeref. A scholar is included among the top collaborators of Onur Şeref based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Onur Şeref. Onur Şeref is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Şeref, Michelle M.H., et al.. (2023). Rhetoric Mining: A New Text-Analytics Approach for Quantifying Persuasion. 2(1). 24–44. 3 indexed citations
2.
Şeref, Onur, et al.. (2020). Context Map Analysis of Fake News in Social Media: A Contextualized Visualization Approach. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
3.
Li, Yuhong, Christopher W. Zobel, Onur Şeref, & Dean C. Chatfield. (2019). Network characteristics and supply chain resilience under conditions of risk propagation. International Journal of Production Economics. 223. 107529–107529. 164 indexed citations
4.
Xanthopoulos, Petros, et al.. (2018). Relaxed support vector regression. Annals of Operations Research. 276(1-2). 191–210. 14 indexed citations
5.
Şeref, Onur, J. Paul Brooks, Bernice Huang, & Stephen S. Fong. (2017). Enumeration and Cartesian Product Decomposition of Alternate Optimal Fluxes in Cellular Metabolism. INFORMS journal on computing. 29(2). 197–210. 1 indexed citations
6.
Chaovalitwongse, W. Art, Daehan Won, Onur Şeref, et al.. (2017). Network Optimization of Functional Connectivity Within Default Mode Network Regions to Detect Cognitive Decline. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(7). 1079–1089. 7 indexed citations
7.
Şeref, Michelle M.H., Onur Şeref, Aydın Alptekinoğlu, & Ş. Selçuk Erengüç. (2016). Advance selling to strategic consumers. Computational Management Science. 13(4). 597–626. 10 indexed citations
8.
Şeref, Onur, J. Paul Brooks, & Stephen S. Fong. (2013). Decomposition of Flux Distributions into Metabolic Pathways. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(4). 984–993. 3 indexed citations
9.
Kundakcioglu, O. Erhun, Onur Şeref, & Pãnos M. Pardalos. (2009). Multiple instance learning via margin maximization. Applied Numerical Mathematics. 60(4). 358–369. 11 indexed citations
10.
Şeref, Onur, O. Erhun Kundakcioglu, & Pãnos M. Pardalos. (2007). Data Mining, Systems Analysis, and Optimization in Biomedicine. CERN Document Server (European Organization for Nuclear Research). 953. 12 indexed citations
11.
Sinha, Usha, et al.. (2007). Automated image processing and analysis of cartilage MRI: enabling technology for data mining applied to osteoarthritis. AIP conference proceedings. 953. 262–276. 11 indexed citations
12.
Şeref, Onur, Claudio Cifarelli, O. Erhun Kundakcioglu, Pãnos M. Pardalos, & Mingzhou Ding. (2007). Detecting Categorical Discrimination in a Visuomotor Task Using Selective Support Vector Machines.. 580–590.
13.
Kammerdiner, Alla, Petros Xanthopoulos, Pãnos M. Pardalos, Onur Şeref, & O. Erhun Kundakcioglu. (2007). Numerical limitations in application of vector autoregressive modeling and Granger causality to analysis of EEG time series. AIP conference proceedings. 953. 232–245. 1 indexed citations
14.
Uthman, Basim M., et al.. (2007). Optimization of epilepsy treatment with vagus nerve stimulation. AIP conference proceedings. 953. 308–315. 2 indexed citations
15.
Meneses, Cláudio N., et al.. (2007). A continuous GRASP to determine the relationship between drugs and adverse reactions. AIP conference proceedings. 953. 106–121. 8 indexed citations
16.
Shiau, Deng‐Shan, W. Art Chaovalitwongse, Pãnos M. Pardalos, et al.. (2007). Presence of nonlinearity in intracranial EEG recordings: detected by Lyapunov exponents. AIP conference proceedings. 953. 197–205. 1 indexed citations
17.
Chaovalitwongse, W. Art, Pãnos M. Pardalos, Onur Şeref, et al.. (2007). Quantitative analysis on electrooculography (EOG) for neurodegenerative disease. AIP conference proceedings. 953. 246–253. 6 indexed citations
18.
Busygin, Stanislav, Pãnos M. Pardalos, Georges A. Ghacibeh, et al.. (2007). Biclustering EEG data from epileptic patients treated with vagus nerve stimulation. AIP conference proceedings. 953. 220–231. 8 indexed citations
19.
Liu, Jun, Sanjay Ranka, Tamer Kahveci, et al.. (2007). A web server for mining Comparative Genomic Hybridization (CGH) data. AIP conference proceedings. 953. 144–161.
20.
Corso, Jason J., Timothy F. Cloughesy, Suzie El‐Saden, et al.. (2007). Automated MR image processing and analysis of malignant brain tumors: enabling technology for data mining. AIP conference proceedings. 953. 64–84. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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