Elena Kirshanova
- Artificial Intelligence
- Information Systems
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Alexander MayDamien StehléShweta AgrawalGottfried HeroldSergey NovoselovJean‐François BiasseAndré SchrottenloherXavier Bonnetain
- Topics
- Cryptography and Data Security (4 papers)Cryptographic Implementations and Security (4 papers)Complexity and Algorithms in Graphs (3 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- RussiaGermanyUnited Arab Emirates
In The Last Decade
Elena Kirshanova
7 papers receiving 31 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 33
- Information Systems 8
- Computer Vision and Pattern Recognition 8
- Computational Theory and Mathematics 6
- Computer Networks and Communications 3
Countries citing papers authored by Elena Kirshanova
This map shows the geographic impact of Elena Kirshanova'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 Elena Kirshanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Kirshanova more than expected).
Fields of papers citing papers by Elena Kirshanova
This network shows the impact of papers produced by Elena Kirshanova. 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 Elena Kirshanova. The network helps show where Elena Kirshanova may publish in the future.
Co-authorship network of co-authors of Elena Kirshanova
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Kirshanova. A scholar is included among the top collaborators of Elena Kirshanova 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 Elena Kirshanova. Elena Kirshanova 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 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 |
About Elena Kirshanova
Elena Kirshanova is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 7 papers that have together received 34 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Cryptographic Implementations and Security (4 papers) and Complexity and Algorithms in Graphs (3 papers). The work is most often cited by research in Artificial Intelligence (33 citations), Computer Vision and Pattern Recognition (8 citations) and Computational Theory and Mathematics (6 citations). Elena Kirshanova has collaborated with scholars based in Russia, Germany and United Arab Emirates. Frequent co-authors include Alexander May, Damien Stehlé, Shweta Agrawal, Gottfried Herold, Sergey Novoselov, Jean‐François Biasse, André Schrottenloher, Xavier Bonnetain, Fang Song and Antonia Wachter-Zeh. Their work appears in journals such as Information and Computation, Designs Codes and Cryptography and IET Information Security.
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.