Grigori Sidorov
About
In The Last Decade
Grigori Sidorov
147 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 1.2k
- Information Systems 451
- Sociology and Political Science 239
- Signal Processing 109
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Grigori Sidorov
This map shows the geographic impact of Grigori Sidorov'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 Grigori Sidorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grigori Sidorov more than expected).
Fields of papers citing papers by Grigori Sidorov
This network shows the impact of papers produced by Grigori Sidorov. 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 Grigori Sidorov. The network helps show where Grigori Sidorov may publish in the future.
Co-authorship network of co-authors of Grigori Sidorov
This figure shows the co-authorship network connecting the top 25 collaborators of Grigori Sidorov. A scholar is included among the top collaborators of Grigori Sidorov 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 Grigori Sidorov. Grigori Sidorov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | Latent Dirichlet Allocation complement in the vector space model for Multi-Label Text Classification | 12 |
| 17 | N-gramas sintácticos y su uso en la lingüistica computacional | 2 |
| 18 | Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2) | 15 |
| 19 | Comparison of some global coherence optimization heuristics for word sense disambiguation | 1 |
| 20 | On Coherente Maintenance in Human-Machine Dialogue whit Contextual Ellipses | 0 |
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.