Dominik Bär
About
In The Last Decade
Dominik Bär
20 papers receiving 532 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 278
- Sociology and Political Science 140
- Genetics 74
- Artificial Intelligence 72
- Cancer Research 66
Countries citing papers authored by Dominik Bär
This map shows the geographic impact of Dominik Bär'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 Dominik Bär with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Bär more than expected).
Fields of papers citing papers by Dominik Bär
This network shows the impact of papers produced by Dominik Bär. 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 Dominik Bär. The network helps show where Dominik Bär may publish in the future.
Co-authorship network of co-authors of Dominik Bär
This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Bär. A scholar is included among the top collaborators of Dominik Bär 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 Dominik Bär. Dominik Bär is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Using natural language processing to analyse text data in behavioural science breakdown → | 27 |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 41 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 42 | |
| 14 | 46 | |
| 15 | 45 | |
| 16 | 17 | |
| 17 | 38 | |
| 18 | 116 | |
| 19 | 42 | |
| 20 | 99 |
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.