Güneş Erkan
- Artificial Intelligence top 2%
- Molecular Biology
- Information Systems top 5%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Dragomir RadevArzucan ÖzgürThuy VuJahna OtterbacherAaron ElkissAnthony FaderDavid StatesPatrick R. Jordan
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (9 papers)Advanced Text Analysis Techniques (7 papers)
- Journals
- BioinformaticsInformation Processing & ManagementJournal of the American Society for Information Science and Technology
- Partner nations
- United States
In The Last Decade
Güneş Erkan
12 papers receiving 976 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 728
- Molecular Biology 347
- Information Systems 162
- Computational Theory and Mathematics 68
- Statistical and Nonlinear Physics 57
Countries citing papers authored by Güneş Erkan
This map shows the geographic impact of Güneş Erkan'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 Güneş Erkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Güneş Erkan more than expected).
Fields of papers citing papers by Güneş Erkan
This network shows the impact of papers produced by Güneş Erkan. 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 Güneş Erkan. The network helps show where Güneş Erkan may publish in the future.
Co-authorship network of co-authors of Güneş Erkan
This figure shows the co-authorship network connecting the top 25 collaborators of Güneş Erkan. A scholar is included among the top collaborators of Güneş Erkan 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 Güneş Erkan. Güneş Erkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 258 | |
| 3 | Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing | 98 |
| 4 | Using graphs and random walks for discovering latent semantic relationships in text. | 1 |
| 5 | Single-document and multi-document summary evaluation using Relative Utility | 6 |
| 6 | 106 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 26 | |
| 10 | 111 | |
| 11 | LexPageRank: Prestige in Multi-Document Text Summarization | 206 |
| 12 | 4 | |
| 13 | LexRank: Graph-based Centrality as Salience in Text Summarization | 147 |
About Güneş Erkan
Güneş Erkan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (728 citations), Information Systems (162 citations) and Molecular Biology (347 citations). Güneş Erkan has collaborated with scholars based in United States. Frequent co-authors include Dragomir Radev, Arzucan Özgür, Thuy Vu, Jahna Otterbacher, Aaron Elkiss, Anthony Fader, David States, Patrick R. Jordan and James P. Sweeney. Their work appears in journals such as Bioinformatics, Information Processing & Management and Journal of the American Society for Information Science and Technology.
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.