Stoyan Mihov
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Klaus U. SchulzR. E. WatsonJan DaciukBruce W. WatsonV. K. DobrevAmlan ChakrabartiKrassimir AtanassovTinko Tinchev
- Topics
- Algorithms and Data Compression (14 papers)Natural Language Processing Techniques (12 papers)semigroups and automata theory (9 papers)
In The Last Decade
Stoyan Mihov
26 papers receiving 358 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 292
- Computer Vision and Pattern Recognition 85
- Computational Theory and Mathematics 82
- Information Systems 69
- Molecular Biology 49
Countries citing papers authored by Stoyan Mihov
This map shows the geographic impact of Stoyan Mihov'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 Stoyan Mihov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stoyan Mihov more than expected).
Fields of papers citing papers by Stoyan Mihov
This network shows the impact of papers produced by Stoyan Mihov. 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 Stoyan Mihov. The network helps show where Stoyan Mihov may publish in the future.
Co-authorship network of co-authors of Stoyan Mihov
This figure shows the co-authorship network connecting the top 25 collaborators of Stoyan Mihov. A scholar is included among the top collaborators of Stoyan Mihov 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 Stoyan Mihov. Stoyan Mihov 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 | 1 | |
| 4 | BulPhonC: Bulgarian speech corpus for the development of ASR technology | 5 |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Large Vocabulary Continuous Speech Recognition for Bulgarian | 4 |
| 10 | Finite State Automata and Simple Conceptual Graphs with Binary Conceptual Relations. | 0 |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 32 | |
| 14 | 4 | |
| 15 | 40 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 87 | |
| 19 | 10 | |
| 20 | 7 |
About Stoyan Mihov
Stoyan Mihov is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory and Artificial Intelligence, having authored 28 papers that have together received 405 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Natural Language Processing Techniques (12 papers) and semigroups and automata theory (9 papers). The work is most often cited by research in Artificial Intelligence (292 citations), Computational Theory and Mathematics (82 citations) and Computer Vision and Pattern Recognition (85 citations). Stoyan Mihov has collaborated with scholars based in Bulgaria, Germany and Italy. Frequent co-authors include Klaus U. Schulz, R. E. Watson, Jan Daciuk, Bruce W. Watson, V. K. Dobrev, Amlan Chakrabarti, Krassimir Atanassov, Tinko Tinchev, Oleg V. Gerasimov and D. Arnaudon. Their work appears in journals such as Journal of Mathematical Physics, Theoretical Computer Science and Computational Linguistics.
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.