Tomasz Arodź
About
In The Last Decade
Tomasz Arodź
25 papers receiving 572 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 247
- Computational Theory and Mathematics 220
- Organic Chemistry 73
- Artificial Intelligence 72
- Materials Chemistry 69
Countries citing papers authored by Tomasz Arodź
This map shows the geographic impact of Tomasz Arodź'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 Tomasz Arodź with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Arodź more than expected).
Fields of papers citing papers by Tomasz Arodź
This network shows the impact of papers produced by Tomasz Arodź. 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 Tomasz Arodź. The network helps show where Tomasz Arodź may publish in the future.
Co-authorship network of co-authors of Tomasz Arodź
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Arodź. A scholar is included among the top collaborators of Tomasz Arodź 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 Tomasz Arodź. Tomasz Arodź 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 | Approximation Capabilities of Neural Ordinary Differential Equations. | 6 |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 28 | |
| 7 | 17 | |
| 8 | 32 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | EXPLORING COMPLEX NETWORKS WITH GRAPH INVESTIGATOR RESEARCH APPLICATION | 13 |
| 12 | Complex-Network-Based Methodology For Analysis Of Biomedical Data | 3 |
| 13 | Training set size in ensemble feature selection for clinical proteomics. | 0 |
| 14 | 304 | |
| 15 | 2 | |
| 16 | Invariant Object Recognition Using Radon-based Transform | 9 |
| 17 | Komputerowe metody detekcji nowotworów piersi w zdjęciach mammograficznych | 1 |
| 18 | 24 | |
| 19 | 21 | |
| 20 | 38 |
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.