Anna Bilyatdinova
- Computer Science Applications top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Education top 10%
- Health Informatics top 2%
- Co-authors
- Alexandra KlímováAlexander V. BoukhanovskyP.M.A. SlootValeria V. KrzhizhanovskayaKlavdiya BocheninaAlfons G. HoekstraMarian BubakAngelos Bilas
- Topics
- Scientific Computing and Data Management (8 papers)Distributed and Parallel Computing Systems (6 papers)Engineering Education and Technology (2 papers)
- Journals
- Journal of Computational ScienceInternational journal of engineering educationUvA-DARE (University of Amsterdam)
- Partner nations
- RussiaNetherlandsSingapore
In The Last Decade
Anna Bilyatdinova
14 papers receiving 517 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Science Applications 216
- Artificial Intelligence 183
- Information Systems 135
- Education 96
- Health Informatics 80
Countries citing papers authored by Anna Bilyatdinova
This map shows the geographic impact of Anna Bilyatdinova'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 Anna Bilyatdinova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bilyatdinova more than expected).
Fields of papers citing papers by Anna Bilyatdinova
This network shows the impact of papers produced by Anna Bilyatdinova. 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 Anna Bilyatdinova. The network helps show where Anna Bilyatdinova may publish in the future.
Co-authorship network of co-authors of Anna Bilyatdinova
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Bilyatdinova. A scholar is included among the top collaborators of Anna Bilyatdinova 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 Anna Bilyatdinova. Anna Bilyatdinova 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 | 44 | |
| 3 | Artificial Intelligence trends in education: a narrative overviewbreakdown → | 456 |
| 4 | Implementation and deployment of transdisciplinary learning environments during short-term educational events on computational science | 1 |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 4 |
About Anna Bilyatdinova
Anna Bilyatdinova is a scholar working on Information Systems and Management, Computer Science Applications and Human-Computer Interaction, having authored 14 papers that have together received 562 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Distributed and Parallel Computing Systems (6 papers) and Engineering Education and Technology (2 papers). The work is most often cited by research in Health Informatics (80 citations), Computer Science Applications (216 citations) and Information Systems and Management (49 citations). Anna Bilyatdinova has collaborated with scholars based in Russia, Netherlands and Singapore. Frequent co-authors include Alexandra Klímová, Alexander V. Boukhanovsky, P.M.A. Sloot, Valeria V. Krzhizhanovskaya, Klavdiya Bochenina, Alfons G. Hoekstra, Marian Bubak, Angelos Bilas, Vagelis Harmandaris and G. A. Athanassoulis. Their work appears in journals such as Journal of Computational Science, International journal of engineering education and UvA-DARE (University of Amsterdam).
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.