Yaroslav Shramko
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Experimental and Cognitive Psychology
- Philosophy top 10%
- Information Systems
- Topics
- Logic, Reasoning, and Knowledge (21 papers)Advanced Algebra and Logic (18 papers)Logic, programming, and type systems (10 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaSyntheseJournal of Philosophical Logic
- Partner nations
- UkraineGermanyMozambique
In The Last Decade
Yaroslav Shramko
32 papers receiving 373 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 323
- Computational Theory and Mathematics 299
- Experimental and Cognitive Psychology 50
- Philosophy 30
- Information Systems 17
Countries citing papers authored by Yaroslav Shramko
This map shows the geographic impact of Yaroslav Shramko'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 Yaroslav Shramko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaroslav Shramko more than expected).
Fields of papers citing papers by Yaroslav Shramko
This network shows the impact of papers produced by Yaroslav Shramko. 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 Yaroslav Shramko. The network helps show where Yaroslav Shramko may publish in the future.
Co-authorship network of co-authors of Yaroslav Shramko
This figure shows the co-authorship network connecting the top 25 collaborators of Yaroslav Shramko. A scholar is included among the top collaborators of Yaroslav Shramko 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 Yaroslav Shramko. Yaroslav Shramko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | The International Conference on History, Theory and Methodology of Learning (ICHTML 2020) | 1 |
| 6 | First-degree Entailment and Binary Consequence Systems. | 0 |
| 7 | Dual-Belnap Logic and Anything but Falsehood. | 2 |
| 8 | 0 | |
| 9 | 1 | |
| 10 | Psychology in Physical Language | 19 |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 28 | |
| 16 | 5 | |
| 17 | 32 | |
| 18 | Tautologien und Trivialitäten? Logische Methoden in der Philosophie | 1 |
| 19 | 45 | |
| 20 | A philosophically plausible modified Grzegorczyk semantics for first-degree intuitionistic entailment | 2 |
About Yaroslav Shramko
Yaroslav Shramko is a scholar working on Computational Theory and Mathematics, General Psychology and Health Informatics, having authored 43 papers that have together received 415 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (21 papers), Advanced Algebra and Logic (18 papers) and Logic, programming, and type systems (10 papers). The work is most often cited by research in Computational Theory and Mathematics (299 citations), Artificial Intelligence (323 citations) and Experimental and Cognitive Psychology (50 citations). Yaroslav Shramko has collaborated with scholars based in Ukraine, Germany and Mozambique. Frequent co-authors include Heinrich Wansing, Norihiro Kamide, Rudolf Carnap, Сергій Олексійович Семеріков and Fabian Neuhaus. Their work appears in journals such as SHILAP Revista de lepidopterología, Synthese and Journal of Philosophical Logic.
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.