Tomáš Hromádka
About
In The Last Decade
Tomáš Hromádka
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 972
- Cellular and Molecular Neuroscience 916
- Physiology 202
- Molecular Biology 159
- Electrical and Electronic Engineering 152
Countries citing papers authored by Tomáš Hromádka
This map shows the geographic impact of Tomáš Hromádka'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 Hromádka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Hromádka more than expected).
Fields of papers citing papers by Tomáš Hromádka
This network shows the impact of papers produced by Tomáš Hromádka. 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 Hromádka. The network helps show where Tomáš Hromádka may publish in the future.
Co-authorship network of co-authors of Tomáš Hromádka
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Hromádka. A scholar is included among the top collaborators of Tomáš Hromádka 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 Hromádka. Tomáš Hromádka 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 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 26 | |
| 6 | 10 | |
| 7 | 68 | |
| 8 | 132 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 27 | |
| 13 | 62 | |
| 14 | 259 | |
| 15 | 26 | |
| 16 | 394 | |
| 17 | 19 | |
| 18 | 392 | |
| 19 | 24 | |
| 20 | Neural network comparing two-rate-encoded inputs entering in parallel. | 1 |
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.