Daniel A. Keim
About
In The Last Decade
Daniel A. Keim
476 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Computer Vision and Pattern Recognition 9.2k
- Artificial Intelligence 5.0k
- Signal Processing 4.2k
- Information Systems 1.6k
- Computer Networks and Communications 1.1k
Countries citing papers authored by Daniel A. Keim
This map shows the geographic impact of Daniel A. Keim'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 Daniel A. Keim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Keim more than expected).
Fields of papers citing papers by Daniel A. Keim
This network shows the impact of papers produced by Daniel A. Keim. 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 Daniel A. Keim. The network helps show where Daniel A. Keim may publish in the future.
Co-authorship network of co-authors of Daniel A. Keim
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Keim. A scholar is included among the top collaborators of Daniel A. Keim 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 Daniel A. Keim. Daniel A. Keim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 27 | |
| 6 | 25 | |
| 7 | Human Trust Modeling for Bias Mitigation in Artificial Intelligence | 2 |
| 8 | 29 | |
| 9 | Visual Analytics System for Semi-automatic 4D Crime Scene Reconstruction | 1 |
| 10 | Human-centered machine learning through interactive visualization | 13 |
| 11 | Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition - 360 Degree Business | 3 |
| 12 | VisJockey : Enriching Data Stories through Orchestrated Interactive Visualization | 19 |
| 13 | Lexical Semantics and Distribution of Suffixes - A Visual Analysis | 7 |
| 14 | 18 | |
| 15 | 14 | |
| 16 | FP-Viz: Visual Frequent Pattern Mining | 11 |
| 17 | 10 | |
| 18 | Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining | 68 |
| 19 | High-Dimensional Index Structures : Databases Support for Next Decade's Applications's | 8 |
| 20 | Indexing High-Dimensional Spaces: Database Support for Next Decade's Applications. | 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.