Onur Şeref

1.2k citations
40 papers · 648 · h-index 12

Impact in

Papers in

Onur Şeref

35 papers receiving 620 citations

Peers

Onur Şeref
Comparison fields: 5 of 112
  • Management Information Systems 99
  • Strategy and Management 149
  • Artificial Intelligence 294
  • Computational Theory and Mathematics 100
  • Business and International Management 11
Replace Gaoji Sun with:
Gaoji Sun China
Mohamed Abdel-Basset Egypt
Yihua Chen China
Dechen Zhan China
Boris Kovalerchuk United States
James N.K. Liu Hong Kong
Carlotta Orsenigo Italy
Rui Tang China
Autilia Vitiello Italy
Onur Şeref relative to Gaoji Sun China Gaoji Sun's profile →
Citations per field
00.5×3.5×
Gaoji Sun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Onur Şeref, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Onur Şeref Line = papers co-authored together Onur Şeref links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007200
2 2019164
3 200659
4 201420
5 200715
6 200915
7 201814
8 200713
9
Data Mining, Systems Analysis, and Optimization in Biomedicine
200712
10 201312
11 200711
12 200911
13 201610
14 20149
15 20078
16 20078
17 20127
18 20177
19 20067
20 20076

About Onur Şeref

Onur Şeref is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 40 papers that have together received 648 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Neural Networks and Applications (4 papers), Imbalanced Data Classification Techniques (4 papers), EEG and Brain-Computer Interfaces (3 papers), Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (3 papers), Vagus Nerve Stimulation Research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Management Information Systems (99 citations), Strategy and Management (149 citations), Artificial Intelligence (294 citations), Computational Theory and Mathematics (100 citations) and Business and International Management (11 citations). Onur Şeref has collaborated with scholars based in United States, Italy and Ukraine. Frequent 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. Their work appears in journals such as Annals of Operations Research, INFORMS journal on computing, Optimization Letters, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Computational Management Science.

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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