S. A. Badaev
Impact in
-
- Computability, Logic, AI Algorithms
- semigroups and automata theory
- Cellular Automata and Applications
- Advanced Algebra and Logic
- Statistics and Probability top 5%
- Benford’s Law and Fraud Detection
Papers in
-
- Computability, Logic, AI Algorithms 23
- semigroups and automata theory 15
- Advanced Algebra and Logic 7
- Cellular Automata and Applications 3
-
- Advanced Topology and Set Theory 8
- Co-authors
- С. С. Гончаров (8 shared papers)Andrea Sorbi (7 shared papers)Steffen Lempp (1 shared paper)Nikolay Bazhenov (2 shared papers)Klaus Ambos‐Spies (1 shared paper)
- Journals
- Algebra and Logic (11 papers)Siberian Mathematical Journal (7 papers)Journal of Symbolic Logic (2 papers)Archive for Mathematical Logic (2 papers)Theoretical Computer Science (1 paper)
- Partner nations
- KazakhstanRussiaItaly
In The Last Decade
S. A. Badaev
24 papers receiving 150 citations
Peers
Comparison fields: 5 of 23
- Computational Theory and Mathematics 148
- Statistics and Probability 67
- Geometry and Topology 52
- Artificial Intelligence 35
- Mathematical Physics 2
Countries citing papers authored by S. A. Badaev
This map shows the geographic impact of S. A. Badaev'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 S. A. Badaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Badaev more than expected).
Fields of papers citing papers by S. A. Badaev
This network shows the impact of papers produced by S. A. Badaev. 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 S. A. Badaev. The network helps show where S. A. Badaev may publish in the future.
Co-authors
The 5 scholars most cited alongside S. A. Badaev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 23 | |
| 2 | 2014 | 16 | |
| 3 | 2006 | 13 | |
| 4 | 2018 | 10 | |
| 5 | 2005 | 10 | |
| 6 | 2009 | 10 | |
| 7 | 1977 | 9 | |
| 8 | 1991 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2002 | 7 | |
| 12 | 1978 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 1992 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 1998 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2018 | 2 |
About S. A. Badaev
S. A. Badaev is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence, Statistics and Probability and Algebra and Number Theory, having authored 30 papers that have together received 157 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (23 papers), semigroups and automata theory (15 papers), Advanced Topology and Set Theory (8 papers), Advanced Algebra and Logic (7 papers), Benford’s Law and Fraud Detection (5 papers), Logic, Reasoning, and Knowledge (3 papers), Rings, Modules, and Algebras (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Statistics and Probability (67 citations), Geometry and Topology (52 citations), Artificial Intelligence (35 citations) and Mathematical Physics (2 citations). S. A. Badaev has collaborated with scholars based in Kazakhstan, Russia and Italy. Frequent co-authors include С. С. Гончаров, Andrea Sorbi, Steffen Lempp, Nikolay Bazhenov and Klaus Ambos‐Spies. Their work appears in journals such as Algebra and Logic, Siberian Mathematical Journal, Journal of Symbolic Logic, Archive for Mathematical Logic and Theoretical Computer Science.
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.