Nicholas S. Flann
About
In The Last Decade
Nicholas S. Flann
54 papers receiving 696 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 212
- Molecular Biology 160
- Biomedical Engineering 133
- Computer Vision and Pattern Recognition 124
- Control and Systems Engineering 115
Countries citing papers authored by Nicholas S. Flann
This map shows the geographic impact of Nicholas S. Flann'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 Nicholas S. Flann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas S. Flann more than expected).
Fields of papers citing papers by Nicholas S. Flann
This network shows the impact of papers produced by Nicholas S. Flann. 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 Nicholas S. Flann. The network helps show where Nicholas S. Flann may publish in the future.
Co-authorship network of co-authors of Nicholas S. Flann
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas S. Flann. A scholar is included among the top collaborators of Nicholas S. Flann 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 Nicholas S. Flann. Nicholas S. Flann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 22 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | Recognition-based Segmentation of On-Line Cursive Handwriting | 3 |
| 18 | An efficient ATMS for equivalence relations | 2 |
| 19 | Forward chaining logic programming with the ATMS | 3 |
| 20 | Selecting appropriate representations for learning from examples | 28 |
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.