Erich Schubert
About
In The Last Decade
Erich Schubert
49 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 2.5k
- Computer Networks and Communications 783
- Signal Processing 663
- Computer Vision and Pattern Recognition 578
- Civil and Structural Engineering 336
Countries citing papers authored by Erich Schubert
This map shows the geographic impact of Erich Schubert'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 Erich Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich Schubert more than expected).
Fields of papers citing papers by Erich Schubert
This network shows the impact of papers produced by Erich Schubert. 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 Erich Schubert. The network helps show where Erich Schubert may publish in the future.
Co-authorship network of co-authors of Erich Schubert
This figure shows the co-authorship network connecting the top 25 collaborators of Erich Schubert. A scholar is included among the top collaborators of Erich Schubert 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 Erich Schubert. Erich Schubert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations. | 4 |
| 7 | Improving the Cluster Structure Extracted from OPTICS Plots. | 23 |
| 8 | Exploring Significant Interactions in Live News. | 1 |
| 9 | DBSCAN Revisited, Revisited breakdown → | 1546 |
| 10 | 99 | |
| 11 | 3 | |
| 12 | Evaluation of multiple clustering solutions | 14 |
| 13 | 166 | |
| 14 | On Using Class-Labels in Evaluation of Clusterings | 69 |
| 15 | 70 | |
| 16 | 88 | |
| 17 | 0 | |
| 18 | Structure-Preserving Difference Search for XML Documents. | 5 |
| 19 | [Bifonazole for the topical treatment of surface mycoses--progress!]. | 2 |
| 20 | [The so-called perioral dermatitis]. | 3 |
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.