Yevgeny Kazakov
About
In The Last Decade
Yevgeny Kazakov
35 papers receiving 886 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 986
- Molecular Biology 461
- Information Systems 437
- Computer Networks and Communications 244
- Computational Theory and Mathematics 78
Countries citing papers authored by Yevgeny Kazakov
This map shows the geographic impact of Yevgeny Kazakov'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 Yevgeny Kazakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgeny Kazakov more than expected).
Fields of papers citing papers by Yevgeny Kazakov
This network shows the impact of papers produced by Yevgeny Kazakov. 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 Yevgeny Kazakov. The network helps show where Yevgeny Kazakov may publish in the future.
Co-authorship network of co-authors of Yevgeny Kazakov
This figure shows the co-authorship network connecting the top 25 collaborators of Yevgeny Kazakov. A scholar is included among the top collaborators of Yevgeny Kazakov 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 Yevgeny Kazakov. Yevgeny Kazakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Towards Reusable Explanation Services in Protege. | 2 |
| 2 | Advancing ELK: Not Only Performance Matters. | 4 |
| 3 | Abstraction Refinement for Ontology Materialization. | 2 |
| 4 | Bridging the Gap between Tableau and Consequence-Based Reasoning. | 2 |
| 5 | Incremental Reasoning in EL+ without Bookkeeping. | 2 |
| 6 | Using the TBox to Optimise SPARQL Queries. | 1 |
| 7 | Practical reasoning with nominals in the EL family of description logics | 16 |
| 8 | 43 | |
| 9 | Unchain My EL Reasoner | 14 |
| 10 | Classifying ELH ontologies in SQL databases | 15 |
| 11 | Consequence-Driven Reasoning for Horn SHIQ Ontologies. | 104 |
| 12 | An Extension of Regularity Conditions for Complex Role Inclusion Axioms | 3 |
| 13 | Import-by-query: ontology reasoning under access limitations | 5 |
| 14 | SRIQ and SROIQ are Harder than SHOIQ. | 59 |
| 15 | RIQ and SROIQ are harder than SHOIQ | 57 |
| 16 | A logical framework for modularity of ontologies | 72 |
| 17 | ONTOLOGY REUSE: BETTER SAFE THAN SORRY | 3 |
| 18 | A Logic-Based Framework for Ontology Modularity | 2 |
| 19 | Extracting Modules from Ontologies: A Logic-based Approach. | 2 |
| 20 | Subsumption of Concepts in FL 0y for (Cyclic) Terminologies with Respect to Descriptive Semantics is PSPACE-complete. | 5 |
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.