Irina Trubitsyna
- Materials Chemistry top 10%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Computer Networks and Communications top 10%
- Mechanics of Materials
- Co-authors
- Sergio GrecoС. Д. ПрокошкинI. Yu. KhmelevskayaE. V. Tat’yaninС. В. ДобаткинV. V. StolyarovCristian MolinaroEgor Prokofiev
- Topics
- Logic, Reasoning, and Knowledge (42 papers)Semantic Web and Ontologies (19 papers)Multi-Agent Systems and Negotiation (17 papers)
In The Last Decade
Irina Trubitsyna
56 papers receiving 668 citations
Peers
Comparison fields: 5 of 68
- Materials Chemistry 376
- Artificial Intelligence 216
- Mechanical Engineering 210
- Computer Networks and Communications 96
- Mechanics of Materials 57
Countries citing papers authored by Irina Trubitsyna
This map shows the geographic impact of Irina Trubitsyna'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 Irina Trubitsyna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Trubitsyna more than expected).
Fields of papers citing papers by Irina Trubitsyna
This network shows the impact of papers produced by Irina Trubitsyna. 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 Irina Trubitsyna. The network helps show where Irina Trubitsyna may publish in the future.
Co-authorship network of co-authors of Irina Trubitsyna
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Trubitsyna. A scholar is included among the top collaborators of Irina Trubitsyna 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 Irina Trubitsyna. Irina Trubitsyna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 | 50 |
| 10 | Checking Termination of Datalog with Function Symbols Through Linear Constraints. | 1 |
| 11 | Rewriting-based Check of Chase Termination | 0 |
| 12 | Logic program termination analysis using atom sizes | 2 |
| 13 | Bounded programs: a new decidable class of logic programs with function symbols | 5 |
| 14 | 10 | |
| 15 | Prioritized Reasoning in Logic Programming. | 1 |
| 16 | 3 | |
| 17 | 0 | |
| 18 | Severe electroplastic deformation of TiNi alloy | 5 |
| 19 | Combining linear programming and clustering techniques for the classification of research centers | 3 |
| 20 | 3 |
About Irina Trubitsyna
Irina Trubitsyna is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 63 papers that have together received 686 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (42 papers), Semantic Web and Ontologies (19 papers) and Multi-Agent Systems and Negotiation (17 papers). The work is most often cited by research in Materials Chemistry (376 citations), Artificial Intelligence (216 citations) and Mechanical Engineering (210 citations). Irina Trubitsyna has collaborated with scholars based in Italy, Russia and Nigeria. Frequent co-authors include Sergio Greco, С. Д. Прокошкин, I. Yu. Khmelevskaya, E. V. Tat’yanin, С. В. Добаткин, V. V. Stolyarov, Cristian Molinaro, Egor Prokofiev, Vladimir Braïlovski and Andrey Korotitskiy. Their work appears in journals such as Acta Materialia, Materials Science and Engineering A and Expert Systems with Applications.
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.