Nikolay Bogoychev
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Social Psychology
- Information Systems
- Co-authors
- Kenneth HeafieldAlham Fikri AjiMarcin Junczys-DowmuntRico SennrichRoman GrundkiewiczYoung Jin KimHany HassanBarry Haddow
- Topics
- Natural Language Processing Techniques (15 papers)Topic Modeling (15 papers)Speech Recognition and Synthesis (4 papers)
- Journals
- Baltic Journal of Modern ComputingEdinburgh Research Explorer (University of Edinburgh)Edinburgh Research Explorer
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Nikolay Bogoychev
19 papers receiving 127 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 124
- Computer Vision and Pattern Recognition 39
- Molecular Biology 8
- Social Psychology 8
- Information Systems 6
Countries citing papers authored by Nikolay Bogoychev
This map shows the geographic impact of Nikolay Bogoychev'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 Nikolay Bogoychev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Bogoychev more than expected).
Fields of papers citing papers by Nikolay Bogoychev
This network shows the impact of papers produced by Nikolay Bogoychev. 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 Nikolay Bogoychev. The network helps show where Nikolay Bogoychev may publish in the future.
Co-authorship network of co-authors of Nikolay Bogoychev
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Bogoychev. A scholar is included among the top collaborators of Nikolay Bogoychev 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 Nikolay Bogoychev. Nikolay Bogoychev 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 | 2 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 28 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | Modern MT: A New Open-Source Machine Translation Platform for the Translation Industry | 5 |
| 17 | Fast, Scalable Phrase-Based SMT Decoding | 2 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 9 |
About Nikolay Bogoychev
Nikolay Bogoychev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 20 papers that have together received 138 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Artificial Intelligence (124 citations), Computer Vision and Pattern Recognition (39 citations) and Applied Psychology (5 citations). Nikolay Bogoychev has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kenneth Heafield, Alham Fikri Aji, Marcin Junczys-Dowmunt, Rico Sennrich, Roman Grundkiewicz, Young Jin Kim, Hany Hassan, Barry Haddow, Pinzhen Chen and Ulrich Germann. Their work appears in journals such as Baltic Journal of Modern Computing, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.
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.