Alexey Ignatiev
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Software top 10%
- Information Systems
- Co-authors
- João Marques‐SilvaAntónio MorgadoNina NarodytskaFilipe S. PereiraPeter J. StuckeyMikoláš JanotaAlexander SemenovAlessandro Previti
- Topics
- Explainable Artificial Intelligence (XAI) (15 papers)Formal Methods in Verification (8 papers)Machine Learning and Data Classification (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceIEEE Robotics and Automation Letters
In The Last Decade
Alexey Ignatiev
36 papers receiving 422 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 368
- Computational Theory and Mathematics 93
- Computer Networks and Communications 55
- Software 53
- Information Systems 42
Countries citing papers authored by Alexey Ignatiev
This map shows the geographic impact of Alexey Ignatiev'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 Alexey Ignatiev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Ignatiev more than expected).
Fields of papers citing papers by Alexey Ignatiev
This network shows the impact of papers produced by Alexey Ignatiev. 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 Alexey Ignatiev. The network helps show where Alexey Ignatiev may publish in the future.
Co-authorship network of co-authors of Alexey Ignatiev
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Ignatiev. A scholar is included among the top collaborators of Alexey Ignatiev 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 Alexey Ignatiev. Alexey Ignatiev 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 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 38 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 50 | |
| 14 | On relating explanations and adversarial examples | 34 |
| 15 | 3 | |
| 16 | Debugging EL+ ontologies through horn MUS enumeration | 2 |
| 17 | 2 | |
| 18 | Efficient model based diagnosis with maximum satisfiability | 20 |
| 19 | 17 | |
| 20 | Prime compilation of non-clausal formulae | 15 |
About Alexey Ignatiev
Alexey Ignatiev is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 38 papers that have together received 433 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (15 papers), Formal Methods in Verification (8 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Software (53 citations), Artificial Intelligence (368 citations) and Health Informatics (14 citations). Alexey Ignatiev has collaborated with scholars based in Australia, Portugal and France. Frequent co-authors include João Marques‐Silva, António Morgado, Nina Narodytska, Filipe S. Pereira, Peter J. Stuckey, Mikoláš Janota, Alexander Semenov, Alessandro Previti, Sam Buss and Martin Cooper. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and IEEE Robotics and Automation Letters.
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.