Tomáš Vinař
- Molecular Biology top 10%
- Genetics top 10%
- Ecology top 10%
- Plant Science top 10%
- Artificial Intelligence top 10%
- Co-authors
- Broňa BrejováAdam SiepelCarolin KosiolRute R. da FonsecaRasmus NielsenCarlos D. BustamanteMelissa J. HubiszVladimír Boža
- Topics
- Genomics and Phylogenetic Studies (29 papers)RNA and protein synthesis mechanisms (13 papers)Algorithms and Data Compression (12 papers)
- Partner nations
- SlovakiaCanadaUnited States
In The Last Decade
Tomáš Vinař
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 767
- Genetics 318
- Ecology 226
- Plant Science 172
- Artificial Intelligence 109
Countries citing papers authored by Tomáš Vinař
This map shows the geographic impact of Tomáš Vinař'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 Vinař with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Vinař more than expected).
Fields of papers citing papers by Tomáš Vinař
This network shows the impact of papers produced by Tomáš Vinař. 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 Vinař. The network helps show where Tomáš Vinař may publish in the future.
Co-authorship network of co-authors of Tomáš Vinař
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Vinař. A scholar is included among the top collaborators of Tomáš Vinař 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 Vinař. Tomáš Vinař is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Approximate Abundance Histograms and Their Use for Genome Size Estimation. | 2 |
| 10 | 150 | |
| 11 | 6 | |
| 12 | Variants of Genes from the Next Generation Sequencing Data | 1 |
| 13 | DNA Sequence Segmentation Based on Local Similarity. | 2 |
| 14 | 18 | |
| 15 | Aligning sequences with repetitive motifs. | 1 |
| 16 | 42 | |
| 17 | 418 | |
| 18 | 32 | |
| 19 | 32 | |
| 20 | Searching for the center of a circle. | 4 |
About Tomáš Vinař
Tomáš Vinař is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (29 papers), RNA and protein synthesis mechanisms (13 papers) and Algorithms and Data Compression (12 papers). The work is most often cited by research in Developmental Biology (41 citations), Genetics (318 citations) and Molecular Biology (767 citations). Tomáš Vinař has collaborated with scholars based in Slovakia, Canada and United States. Frequent co-authors include Broňa Brejová, Adam Siepel, Carolin Kosiol, Rute R. da Fonseca, Rasmus Nielsen, Carlos D. Bustamante, Melissa J. Hubisz, Vladimír Boža, Daniel G. Brown and Kim C. Worley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.