Karl Pichotta
About
In The Last Decade
Karl Pichotta
5 papers receiving 210 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 207
- Information Systems 32
- Computer Vision and Pattern Recognition 27
- Management Science and Operations Research 19
- Signal Processing 8
Countries citing papers authored by Karl Pichotta
This map shows the geographic impact of Karl Pichotta'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 Karl Pichotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Pichotta more than expected).
Fields of papers citing papers by Karl Pichotta
This network shows the impact of papers produced by Karl Pichotta. 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 Karl Pichotta. The network helps show where Karl Pichotta may publish in the future.
Co-authorship network of co-authors of Karl Pichotta
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Pichotta. A scholar is included among the top collaborators of Karl Pichotta 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 Karl Pichotta. Karl Pichotta 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 | 2 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 110 | |
| 6 | 89 | |
| 7 | 6 | |
| 8 | 0 |
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.