Michael R. Berthold
About
In The Last Decade
Michael R. Berthold
140 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Artificial Intelligence 1.2k
- Molecular Biology 1.1k
- Computational Theory and Mathematics 643
- Information Systems 552
- Computer Vision and Pattern Recognition 470
Countries citing papers authored by Michael R. Berthold
This map shows the geographic impact of Michael R. Berthold'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 Michael R. Berthold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Berthold more than expected).
Fields of papers citing papers by Michael R. Berthold
This network shows the impact of papers produced by Michael R. Berthold. 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 Michael R. Berthold. The network helps show where Michael R. Berthold may publish in the future.
Co-authorship network of co-authors of Michael R. Berthold
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Berthold. A scholar is included among the top collaborators of Michael R. Berthold 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 Michael R. Berthold. Michael R. Berthold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 67 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 103 | |
| 9 | 23 | |
| 10 | Computational Life Sciences II: Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006, Proceedings (Lecture Notes in Computer Science) | 2 |
| 11 | Fuzzy Clustering in Parallel Universes with Noise Detection | 1 |
| 12 | Mining of Cell Assay Images Using Active Semi-Supervised Clustering | 2 |
| 13 | EFFICIENT MINING OF DISCRIMINATIVE MOLECULAR FRAGMENTS | 1 |
| 14 | 19 | |
| 15 | 42 | |
| 16 | “It makes sense”: using an autoassociative neural network to explore typicality in computer-mediated discussions | 16 |
| 17 | 1 | |
| 18 | Acceleration of Direct Model Optimization Methods by Function Approximation | 2 |
| 19 | 1 | |
| 20 | Boosting the Performance of RBF Networks with Dynamic Decay Adjustment | 81 |
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.