Leonid Boytsov
Impact in
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- Language, Metaphor, and Cognition
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Algorithms and Data Compression
- Advanced Text Analysis Techniques
Papers in
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- Algorithms and Data Compression 8
- Topic Modeling 7
- Natural Language Processing Techniques 5
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- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Eric Nyberg (4 shared papers)Yulia Tsvetkov (1 shared paper)Chris Dyer (1 shared paper)Anatole Gershman (1 shared paper)Daniel Lemire (1 shared paper)Anna Belova (3 shared papers)Chris Kamphuis (1 shared paper)Jimmy Lin (1 shared paper)
- Journals
- Lecture notes in computer science (5 papers)ACM Journal of Experimental Algorithmics (1 paper)Neural Information Processing Systems (1 paper)Text REtrieval Conference (3 papers)NTCIR (1 paper)
- Partner nations
- United StatesRussiaNorway
In The Last Decade
Leonid Boytsov
15 papers receiving 433 citations
Peers
Comparison fields: 5 of 72
- Experimental and Cognitive Psychology 120
- Artificial Intelligence 313
- Signal Processing 70
- Computer Vision and Pattern Recognition 120
- Information Systems 75
Countries citing papers authored by Leonid Boytsov
This map shows the geographic impact of Leonid Boytsov'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 Leonid Boytsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Boytsov more than expected).
Fields of papers citing papers by Leonid Boytsov
This network shows the impact of papers produced by Leonid Boytsov. 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 Leonid Boytsov. The network helps show where Leonid Boytsov may publish in the future.
Co-authors
The 19 scholars most cited alongside Leonid Boytsov, 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 | 2014 | 160 | |
| 2 | 2013 | 64 | |
| 3 | SIMD Compression and the Intersection of Sorted Integers | 2016 | 60 |
| 4 | 2011 | 58 | |
| 5 | 2020 | 35 | |
| 6 | 2013 | 23 | |
| 7 | 2016 | 20 | |
| 8 | Learning to Prune in Metric and Non-Metric Spaces | 2013 | 11 |
| 9 | Comparative Analysis of Data Structures for Approximate Nearest Neighbor Search | 2014 | 10 |
| 10 | Evaluating Learning-to-Rank Methods in the Web Track Adhoc Task. | 2011 | 6 |
| 11 | CMU Multiple-choice Question Answering System at NTCIR-11 QA-Lab | 2014 | 2 |
| 12 | 2023 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2024 | 0 | |
| 17 | Does Category A Anchor Text Improve Category B Results | 2012 | 0 |
About Leonid Boytsov
Leonid Boytsov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 457 indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), Topic Modeling (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Data Management and Algorithms (5 papers), Natural Language Processing Techniques (5 papers), Information Retrieval and Search Behavior (4 papers), Web Data Mining and Analysis (2 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (120 citations), Artificial Intelligence (313 citations), Signal Processing (70 citations), Computer Vision and Pattern Recognition (120 citations) and Information Systems (75 citations). Leonid Boytsov has collaborated with scholars based in United States, Russia and Norway. Frequent co-authors include Eric Nyberg, Yulia Tsvetkov, Chris Dyer, Anatole Gershman, Daniel Lemire, Anna Belova, Chris Kamphuis, Jimmy Lin, Arjen P. de Vries and Peter H. Westfall. Their work appears in journals such as Lecture notes in computer science, ACM Journal of Experimental Algorithmics, Neural Information Processing Systems, Text REtrieval Conference and NTCIR.
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.