G. Reents
About
In The Last Decade
G. Reents
16 papers receiving 225 citations
Peers
Comparison fields: 5 of 47
- Statistical and Nonlinear Physics 69
- Computer Networks and Communications 65
- Radiology, Nuclear Medicine and Imaging 58
- Artificial Intelligence 54
- Nuclear and High Energy Physics 42
Countries citing papers authored by G. Reents
This map shows the geographic impact of G. Reents'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 G. Reents with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Reents more than expected).
Fields of papers citing papers by G. Reents
This network shows the impact of papers produced by G. Reents. 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 G. Reents. The network helps show where G. Reents may publish in the future.
Co-authorship network of co-authors of G. Reents
This figure shows the co-authorship network connecting the top 25 collaborators of G. Reents. A scholar is included among the top collaborators of G. Reents 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 G. Reents. G. Reents is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 64 | |
| 3 | 34 | |
| 4 | 10 | |
| 5 | A theoretical framework for analysing the dynamics of LVQ | 4 |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 34 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | Models for infrared dynamics. I. Classical currents | 5 |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 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.