Alexander Popov
- Artificial Intelligence
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Nuclear and High Energy Physics
- Co-authors
- Kiril SimovPetya OsenovaМ. Б. БелоненкоН. Г. ЛебедевAlexander V. ZhukovPetia Koprinkova‐HristovaV.M. AulchenkoA.A. Ruban
- Topics
- Natural Language Processing Techniques (11 papers)Topic Modeling (10 papers)Semantic Web and Ontologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSolid State IonicsPhysics Letters A
In The Last Decade
Alexander Popov
29 papers receiving 99 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 44
- Materials Chemistry 22
- Atomic and Molecular Physics, and Optics 22
- Electrical and Electronic Engineering 19
- Nuclear and High Energy Physics 13
Countries citing papers authored by Alexander Popov
This map shows the geographic impact of Alexander Popov'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 Alexander Popov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Popov more than expected).
Fields of papers citing papers by Alexander Popov
This network shows the impact of papers produced by Alexander Popov. 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 Alexander Popov. The network helps show where Alexander Popov may publish in the future.
Co-authorship network of co-authors of Alexander Popov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Popov. A scholar is included among the top collaborators of Alexander Popov 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 Alexander Popov. Alexander Popov 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 | Reconstructing NER Corpora: a Case Study on Bulgarian | 3 |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | Lexical Modeling for Natural Language Processing | 1 |
| 8 | 1 | |
| 9 | Development of students’ general competence when studying at economic universities in the North-East of Russia | 0 |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Improving Word Sense Disambiguation with Linguistic Knowledge from a Sense Annotated Treebank | 6 |
| 18 | Structural Topological Analysis of Cardiac Conduction System | 2 |
| 19 | 1 | |
| 20 | 5 |
About Alexander Popov
Alexander Popov is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Ceramics and Composites, having authored 34 papers that have together received 108 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (44 citations), Nuclear and High Energy Physics (13 citations) and Radiation (7 citations). Alexander Popov has collaborated with scholars based in Russia, Bulgaria and Ukraine. Frequent co-authors include Kiril Simov, Petya Osenova, М. Б. Белоненко, Н. Г. Лебедев, Alexander V. Zhukov, Petia Koprinkova‐Hristova, V.M. Aulchenko, A.A. Ruban, D. Epifanov and A. Kozyrev. Their work appears in journals such as SHILAP Revista de lepidopterología, Solid State Ionics and Physics Letters A.
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.