Daniil Sorokin
About
In The Last Decade
Daniil Sorokin
11 papers receiving 264 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 266
- Information Systems 43
- Sociology and Political Science 40
- Computer Vision and Pattern Recognition 39
- Management Science and Operations Research 25
Countries citing papers authored by Daniil Sorokin
This map shows the geographic impact of Daniil Sorokin'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 Daniil Sorokin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil Sorokin more than expected).
Fields of papers citing papers by Daniil Sorokin
This network shows the impact of papers produced by Daniil Sorokin. 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 Daniil Sorokin. The network helps show where Daniil Sorokin may publish in the future.
Co-authorship network of co-authors of Daniil Sorokin
This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Sorokin. A scholar is included among the top collaborators of Daniil Sorokin 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 Daniil Sorokin. Daniil Sorokin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 113 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 29 | |
| 10 | 89 | |
| 11 | 6 |
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.