Vladimir Ivanov
- Artificial Intelligence top 10%
- Information Systems top 10%
- Software top 10%
- Safety, Risk, Reliability and Quality
- Education
- Co-authors
- Valery SolovyevGiancarlo SucciMarina I. SolnyshkinaJooyong YiNatalia LoukachevitchAlan J. RogersElena TutubalinaIldar Batyrshin
- Topics
- Topic Modeling (20 papers)Natural Language Processing Techniques (16 papers)Software Engineering Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Access
In The Last Decade
Vladimir Ivanov
43 papers receiving 263 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 162
- Information Systems 88
- Software 35
- Safety, Risk, Reliability and Quality 17
- Education 16
Countries citing papers authored by Vladimir Ivanov
This map shows the geographic impact of Vladimir Ivanov'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 Vladimir Ivanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Ivanov more than expected).
Fields of papers citing papers by Vladimir Ivanov
This network shows the impact of papers produced by Vladimir Ivanov. 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 Vladimir Ivanov. The network helps show where Vladimir Ivanov may publish in the future.
Co-authorship network of co-authors of Vladimir Ivanov
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Ivanov. A scholar is included among the top collaborators of Vladimir Ivanov 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 Vladimir Ivanov. Vladimir Ivanov 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | Characterizing Text Complexity with Core Vocabulary Distributional Patterns: Corpus-based Approach. | 1 |
| 13 | 4 | |
| 14 | 4 | |
| 15 | Creating Russian WordNet by Conversion | 13 |
| 16 | Sentiment classification of reviews and twitter posts based on dictionaries. | 1 |
| 17 | SentiRuEval: testing object-oriented sentiment analysis systems in Russian | 28 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Early Russian architecture | 1 |
About Vladimir Ivanov
Vladimir Ivanov is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 53 papers that have together received 287 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (16 papers) and Software Engineering Research (12 papers). The work is most often cited by research in Software (35 citations), Artificial Intelligence (162 citations) and Information Systems (88 citations). Vladimir Ivanov has collaborated with scholars based in Russia, Italy and Nepal. Frequent co-authors include Valery Solovyev, Giancarlo Succi, Marina I. Solnyshkina, Jooyong Yi, Natalia Loukachevitch, Alan J. Rogers, Elena Tutubalina, Ildar Batyrshin, Evgeny Kotelnikov and Ekaterina Artemova. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Access.
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.