Michael A. Taitslin
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Geometry and Topology top 10%
- Signal Processing
- Co-authors
- Yu. L. ErshovAlbert R. MeyerAnil Nerode
- Topics
- Logic, Reasoning, and Knowledge (13 papers)Advanced Database Systems and Queries (9 papers)Logic, programming, and type systems (6 papers)
- Journals
- Theoretical Computer ScienceACM Transactions on Database SystemsRussian Mathematical Surveys
- Partner nations
- RussiaUnited StatesKazakhstan
In The Last Decade
Michael A. Taitslin
24 papers receiving 144 citations
Peers
Comparison fields: 5 of 17
- Computational Theory and Mathematics 122
- Artificial Intelligence 105
- Computer Networks and Communications 52
- Geometry and Topology 34
- Signal Processing 33
Countries citing papers authored by Michael A. Taitslin
This map shows the geographic impact of Michael A. Taitslin'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 Michael A. Taitslin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Taitslin more than expected).
Fields of papers citing papers by Michael A. Taitslin
This network shows the impact of papers produced by Michael A. Taitslin. 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 Michael A. Taitslin. The network helps show where Michael A. Taitslin may publish in the future.
Co-authorship network of co-authors of Michael A. Taitslin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Taitslin. A scholar is included among the top collaborators of Michael A. Taitslin 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 Michael A. Taitslin. Michael A. Taitslin 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 | 7 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 29 | |
| 7 | On Order-Generic Queries | 7 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Logic at Botik'89 Symposium on logical foundations of computer science | 3 |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 45 | |
| 20 | Неразрешимость некоторых теорий | 8 |
About Michael A. Taitslin
Michael A. Taitslin is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Artificial Intelligence, having authored 29 papers that have together received 196 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (13 papers), Advanced Database Systems and Queries (9 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Computational Theory and Mathematics (122 citations), Geometry and Topology (34 citations) and Algebra and Number Theory (16 citations). Michael A. Taitslin has collaborated with scholars based in Russia, United States and Kazakhstan. Frequent co-authors include Yu. L. Ershov, Albert R. Meyer and Anil Nerode. Their work appears in journals such as Theoretical Computer Science, ACM Transactions on Database Systems and Russian Mathematical Surveys.
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.