Hans‐Hermann Bock
About
In The Last Decade
Hans‐Hermann Bock
25 papers receiving 759 citations
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 406
- Signal Processing 148
- Computer Vision and Pattern Recognition 136
- Statistics and Probability 131
- Computational Theory and Mathematics 117
Countries citing papers authored by Hans‐Hermann Bock
This map shows the geographic impact of Hans‐Hermann Bock'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 Hans‐Hermann Bock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Hermann Bock more than expected).
Fields of papers citing papers by Hans‐Hermann Bock
This network shows the impact of papers produced by Hans‐Hermann Bock. 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 Hans‐Hermann Bock. The network helps show where Hans‐Hermann Bock may publish in the future.
Co-authorship network of co-authors of Hans‐Hermann Bock
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Hermann Bock. A scholar is included among the top collaborators of Hans‐Hermann Bock 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 Hans‐Hermann Bock. Hans‐Hermann Bock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Origins and extensions of the -means algorithm in cluster analysis. | 2 |
| 5 | Data Science and Classification (Studies in Classification, Data Analysis, and Knowledge Organization) | 7 |
| 6 | 100 | |
| 7 | 127 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | Data mining tasks and methods: Classification: the goal of classification | 9 |
| 11 | 0 | |
| 12 | 2 | |
| 13 | Data Science, Classification, and Related Methods : Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30, 1996 | 4 |
| 14 | 98 | |
| 15 | 76 | |
| 16 | 1 | |
| 17 | 47 | |
| 18 | 17 | |
| 19 | Consistent estimates for finite mixtures of well separated elliptical distributions | 4 |
| 20 | 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.