Emre Sefer
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- Complex Network Analysis Techniques 7
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- Stock Market Forecasting Methods 5
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- Genomics and Chromatin Dynamics 7
- Gene Regulatory Network Analysis 6
- Bioinformatics and Genomic Networks 6
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 4
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- Computational Drug Discovery Methods 3
- Co-authors
- Carl KingsfordZiv Bar‐JosephMichael KleymanGeet DuggalCody DunneBen ShneidermanMeirav Taieb‐MaimonRobert Gove
- Cited by
- Statistical and Nonlinear PhysicsManagement Science and Operations ResearchMolecular Biology
- Journals
- Algorithms for Molecular Biology (3 papers)Journal of Computational Biology (3 papers)IEEE Access (2 papers)
- Partner nations
- TürkiyeUnited StatesIsrael
In The Last Decade
Emre Sefer
29 papers receiving 299 citations
Peers
Comparison fields: 5 of 75
- Statistical and Nonlinear Physics 50
- Management Science and Operations Research 43
- Molecular Biology 122
- Aging 3
- Computational Mathematics 1
Countries citing papers authored by Emre Sefer
This map shows the geographic impact of Emre Sefer'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 Emre Sefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Sefer more than expected).
Fields of papers citing papers by Emre Sefer
This network shows the impact of papers produced by Emre Sefer. 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 Emre Sefer. The network helps show where Emre Sefer may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Emre Sefer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 3 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 11 | |
| 19 | 2016 | 20 | |
| 20 | 2015 | 10 |
About Emre Sefer
Emre Sefer is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Computational Theory and Mathematics, Molecular Biology and Modeling and Simulation, having authored 35 papers that have together received 307 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Genomics and Chromatin Dynamics (7 papers), Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (6 papers), Stock Market Forecasting Methods (5 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (50 citations), Management Science and Operations Research (43 citations), Molecular Biology (122 citations), Aging (3 citations) and Computational Mathematics (1 citation). Emre Sefer has collaborated with scholars based in Türkiye, United States and Israel. Frequent co-authors include Carl Kingsford, Ziv Bar‐Joseph, Michael Kleyman, Geet Duggal, Cody Dunne, Ben Shneiderman, Meirav Taieb‐Maimon, Robert Gove, Rob Patro and Hao Wang. Their work appears in journals such as Algorithms for Molecular Biology, Journal of Computational Biology, IEEE Access, Intelligent systems in accounting, finance and management and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.