Emre Sefer
Impact in
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- Stock Market Forecasting Methods
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- Complex Network Analysis Techniques
Papers in
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- Genomics and Chromatin Dynamics 11
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 5
- Gene Regulatory Network Analysis 5
- Gene expression and cancer classification 4
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- Complex Network Analysis Techniques 7
- Co-authors
- Carl Kingsford (14 shared papers)Geet Duggal (5 shared papers)Michael Kleyman (2 shared papers)Ziv Bar‐Joseph (2 shared papers)Rob Patro (4 shared papers)Justin Malin (2 shared papers)Saket Navlakha (2 shared papers)Guillaume Marçais (2 shared papers)
- Journals
- Algorithms for Molecular Biology (3 papers)Journal of Computational Biology (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)IEEE Access (2 papers)Intelligent systems in accounting, finance and management (2 papers)
- Partner nations
- TürkiyeUnited StatesChina
In The Last Decade
Emre Sefer
42 papers receiving 421 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 63
- Statistical and Nonlinear Physics 56
- Health Informatics 3
- Molecular Biology 143
- Computer Vision and Pattern Recognition 44
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-authors
The 25 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 30 | |
| 2 | 2011 | 29 | |
| 3 | 2017 | 23 | |
| 4 | 2016 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2023 | 18 | |
| 7 | 2015 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2011 | 17 | |
| 10 | 2024 | 15 | |
| 11 | 2011 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2024 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2012 | 13 | |
| 17 | 2013 | 13 | |
| 18 | 2019 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2015 | 10 |
About Emre Sefer
Emre Sefer is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 48 papers that have together received 431 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), Bioinformatics and Genomic Networks (7 papers), Complex Network Analysis Techniques (7 papers), Stock Market Forecasting Methods (6 papers), Genomics and Phylogenetic Studies (5 papers), Gene Regulatory Network Analysis (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 Management Science and Operations Research (63 citations), Statistical and Nonlinear Physics (56 citations), Health Informatics (3 citations), Molecular Biology (143 citations) and Computer Vision and Pattern Recognition (44 citations). Emre Sefer has collaborated with scholars based in Türkiye, United States and China. Frequent co-authors include Carl Kingsford, Geet Duggal, Michael Kleyman, Ziv Bar‐Joseph, Rob Patro, Justin Malin, Saket Navlakha, Guillaume Marçais, Robert Gove and Cody Dunne. Their work appears in journals such as Algorithms for Molecular Biology, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Access and Intelligent systems in accounting, finance and management.
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.