Andrei Mikheev
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 16
- Topic Modeling 14
- Speech and dialogue systems 5
- Algorithms and Data Compression 4
- Semantic Web and Ontologies 4
- Text Readability and Simplification 1
-
- Data Mining Algorithms and Applications 2
- Web Data Mining and Analysis 1
- Co-authors
- Claire Grover (4 shared papers)Marc Moens (4 shared papers)Steven Finch (2 shared papers)Colin Matheson (1 shared paper)Massimo Poesio (1 shared paper)
- Journals
- Computational Linguistics (2 papers)Natural Language Engineering (2 papers)Language Resources and Evaluation (1 paper)Americanae (AECID Library) (1 paper)The COCOON platform (University of Paris) (6 papers)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Andrei Mikheev
17 papers receiving 679 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 763
- Information Systems 148
- Geography, Planning and Development 34
- Management Science and Operations Research 62
- Signal Processing 46
Countries citing papers authored by Andrei Mikheev
This map shows the geographic impact of Andrei Mikheev'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 Andrei Mikheev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Mikheev more than expected).
Fields of papers citing papers by Andrei Mikheev
This network shows the impact of papers produced by Andrei Mikheev. 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 Andrei Mikheev. The network helps show where Andrei Mikheev may publish in the future.
Co-authors
The 5 scholars most cited alongside Andrei Mikheev, 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 | 1999 | 258 | |
| 2 | Automatic rule induction for unknown-word guessing | 1997 | 121 |
| 3 | Description of the LTG system used for MUC-7 | 1998 | 107 |
| 4 | 2000 | 72 | |
| 5 | 2002 | 57 | |
| 6 | 1997 | 41 | |
| 7 | 1999 | 36 | |
| 8 | Tagging sentence boundaries | 2000 | 32 |
| 9 | 2000 | 32 | |
| 10 | 1998 | 25 | |
| 11 | 1999 | 17 | |
| 12 | 1996 | 15 | |
| 13 | 1998 | 14 | |
| 14 | 1995 | 12 | |
| 15 | 1995 | 11 | |
| 16 | 1996 | 8 | |
| 17 | 1996 | 2 |
About Andrei Mikheev
Andrei Mikheev is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Cultural Studies and Infectious Diseases, having authored 17 papers that have together received 860 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers), Speech and dialogue systems (5 papers), Algorithms and Data Compression (4 papers), Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (2 papers), Text Readability and Simplification (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (763 citations), Information Systems (148 citations), Geography, Planning and Development (34 citations), Management Science and Operations Research (62 citations) and Signal Processing (46 citations). Andrei Mikheev has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Claire Grover, Marc Moens, Steven Finch, Colin Matheson and Massimo Poesio. Their work appears in journals such as Computational Linguistics, Natural Language Engineering, Language Resources and Evaluation, Americanae (AECID Library) and The COCOON platform (University of Paris).
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.