Václav Snåšel
About
In The Last Decade
Václav Snåšel
531 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 2.7k
- Electrical and Electronic Engineering 1.1k
- Computer Networks and Communications 1.0k
- Information Systems 970
- Computer Vision and Pattern Recognition 907
Countries citing papers authored by Václav Snåšel
This map shows the geographic impact of Václav Snåšel'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 Václav Snåšel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Václav Snåšel more than expected).
Fields of papers citing papers by Václav Snåšel
This network shows the impact of papers produced by Václav Snåšel. 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 Václav Snåšel. The network helps show where Václav Snåšel may publish in the future.
Co-authorship network of co-authors of Václav Snåšel
This figure shows the co-authorship network connecting the top 25 collaborators of Václav Snåšel. A scholar is included among the top collaborators of Václav Snåšel 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 Václav Snåšel. Václav Snåšel 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 | 4 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 25 | |
| 11 | 11 | |
| 12 | 42 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 9 | |
| 19 | PERFORMANCE COMPARISON OF SIX EFFICIENT PURE HEURISTICS FOR SCHEDULING META-TASKS ON HETEROGENEOUS DISTRIBUTED ENVIRONMENTS | 11 |
| 20 | Concept Lattice Generation by Singular Value Decomposition | 12 |
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.