Dmitry Zelenko
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Information Systems top 10%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Machine Learning and Algorithms 2
- Algorithms and Data Compression 2
- Neural Networks and Applications 2
- Text Readability and Simplification 1
- Imbalanced Data Classification Techniques 1
- Co-authors
- Chinatsu Aone (3 shared papers)Anthony Richardella (1 shared paper)Dan Roth (3 shared papers)
- Journals
- Lecture notes in computer science (1 paper)International Journal of Computational Intelligence and Applications (1 paper)The COCOON platform (University of Paris) (1 paper)National Conference on Artificial Intelligence (1 paper)Proceedings of the 17th international conference on Computational linguistics - (1 paper)
- Partner nations
- United States
In The Last Decade
Dmitry Zelenko
9 papers receiving 569 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 544
- Information Systems 105
- Management Science and Operations Research 48
- Computer Vision and Pattern Recognition 38
- Computational Mathematics 1
Countries citing papers authored by Dmitry Zelenko
This map shows the geographic impact of Dmitry Zelenko'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 Dmitry Zelenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Zelenko more than expected).
Fields of papers citing papers by Dmitry Zelenko
This network shows the impact of papers produced by Dmitry Zelenko. 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 Dmitry Zelenko. The network helps show where Dmitry Zelenko may publish in the future.
Co-authors
The 3 scholars most cited alongside Dmitry Zelenko, 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 | 2002 | 453 | |
| 2 | 1998 | 75 | |
| 3 | 2006 | 28 | |
| 4 | 1998 | 17 | |
| 5 | Coreference Resolution for Information Extraction | 2004 | 13 |
| 6 | 1999 | 6 | |
| 7 | Toward a Theory of Learning Coherent Concepts | 2000 | 5 |
| 8 | 2002 | 4 | |
| 9 | 2009 | 4 |
About Dmitry Zelenko
Dmitry Zelenko is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 605 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Machine Learning and Algorithms (2 papers), Algorithms and Data Compression (2 papers), Neural Networks and Applications (2 papers), Rough Sets and Fuzzy Logic (1 paper), Text Readability and Simplification (1 paper) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (544 citations), Information Systems (105 citations), Management Science and Operations Research (48 citations), Computer Vision and Pattern Recognition (38 citations) and Computational Mathematics (1 citation). Dmitry Zelenko has collaborated with scholars based in United States. Frequent co-authors include Chinatsu Aone, Anthony Richardella and Dan Roth. Their work appears in journals such as Lecture notes in computer science, International Journal of Computational Intelligence and Applications, The COCOON platform (University of Paris), National Conference on Artificial Intelligence and Proceedings of the 17th international conference on Computational linguistics -.
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.