Ivan Koychev
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Preslav NakovLluı́s MàrquezAlberto Barrón‐CedeñoTodor MihaylovGeorgi GeorgievGeorgi KaradzhovMomchil HardalovDavid J. Harper
- Topics
- Topic Modeling (27 papers)Natural Language Processing Techniques (13 papers)Misinformation and Its Impacts (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Biomedical InformaticsInternet Research
- Partner nations
- BulgariaUnited KingdomQatar
In The Last Decade
Ivan Koychev
45 papers receiving 385 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 320
- Information Systems 177
- Sociology and Political Science 118
- Computer Networks and Communications 31
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Ivan Koychev
This map shows the geographic impact of Ivan Koychev'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 Ivan Koychev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Koychev more than expected).
Fields of papers citing papers by Ivan Koychev
This network shows the impact of papers produced by Ivan Koychev. 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 Ivan Koychev. The network helps show where Ivan Koychev may publish in the future.
Co-authorship network of co-authors of Ivan Koychev
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Koychev. A scholar is included among the top collaborators of Ivan Koychev 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 Ivan Koychev. Ivan Koychev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | An ensemble-rich multi-aspect approach for robust style change detection: Notebook for PAN at CLEF-2018 | 5 |
| 11 | 29 | |
| 12 | 39 | |
| 13 | 5 | |
| 14 | SU@PAN'2016: Author Obfuscation. | 0 |
| 15 | Experiments in Authorship-Link Ranking and Complete Author Clustering. | 1 |
| 16 | SU@PAN'2015: Experiments in author profiling | 2 |
| 17 | 4 | |
| 18 | Query-Based Summarization: A survey | 9 |
| 19 | Textual Feature Construction from Keywords. | 3 |
| 20 | The Robert Gordon University's HARD Track Experiments at TREC 2004 | 6 |
About Ivan Koychev
Ivan Koychev is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 50 papers that have together received 431 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (13 papers) and Misinformation and Its Impacts (10 papers). The work is most often cited by research in Artificial Intelligence (320 citations), Information Systems (177 citations) and Signal Processing (30 citations). Ivan Koychev has collaborated with scholars based in Bulgaria, United Kingdom and Qatar. Frequent co-authors include Preslav Nakov, Lluı́s Màrquez, Alberto Barrón‐Cedeño, Todor Mihaylov, Georgi Georgiev, Georgi Karadzhov, Momchil Hardalov, David J. Harper, Svetla Boytcheva and Nirmalie Wiratunga. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Biomedical Informatics and Internet Research.
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.