Tomáš Vojíř
About
In The Last Decade
Tomáš Vojíř
2 papers receiving 12 citations
Peers
Comparison fields: 5 of 8
- Computer Vision and Pattern Recognition 11
- Artificial Intelligence 4
- Automotive Engineering 1
- Safety, Risk, Reliability and Quality 1
- Aerospace Engineering 1
Countries citing papers authored by Tomáš Vojíř
This map shows the geographic impact of Tomáš Vojíř'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 Tomáš Vojíř with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Vojíř more than expected).
Fields of papers citing papers by Tomáš Vojíř
This network shows the impact of papers produced by Tomáš Vojíř. 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 Tomáš Vojíř. The network helps show where Tomáš Vojíř may publish in the future.
Co-authorship network of co-authors of Tomáš Vojíř
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Vojíř. A scholar is included among the top collaborators of Tomáš Vojíř 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 Tomáš Vojíř. Tomáš Vojíř is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The VOT2013 challenge: overview and additional results | 10 |
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.