Doron Nussbaum
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Jörg-Rüdiger SackMark LanthierB. John OommenNicola SantoroAnil MaheshwariHristo DjidjevMatt DuckhamD. A. W. Hutchinson
- Topics
- Data Management and Algorithms (9 papers)Computational Geometry and Mesh Generation (7 papers)Neural dynamics and brain function (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignSignal ProcessingComputer Networks and Communications
In The Last Decade
Doron Nussbaum
25 papers receiving 192 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 74
- Artificial Intelligence 55
- Computer Vision and Pattern Recognition 51
- Signal Processing 51
- Computer Graphics and Computer-Aided Design 38
Countries citing papers authored by Doron Nussbaum
This map shows the geographic impact of Doron Nussbaum'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 Doron Nussbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doron Nussbaum more than expected).
Fields of papers citing papers by Doron Nussbaum
This network shows the impact of papers produced by Doron Nussbaum. 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 Doron Nussbaum. The network helps show where Doron Nussbaum may publish in the future.
Co-authorship network of co-authors of Doron Nussbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Doron Nussbaum. A scholar is included among the top collaborators of Doron Nussbaum 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 Doron Nussbaum. Doron Nussbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 12 | |
| 12 | Calculating the meeting point of scattered robots on weighted terrain surfaces | 14 |
| 13 | Concurrent Parallel Shortest Path Computation. | 1 |
| 14 | 6 | |
| 15 | Improving vision-based maps by using sonar and infrared data | 3 |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 6 |
About Doron Nussbaum
Doron Nussbaum is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 204 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Computational Geometry and Mesh Generation (7 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (38 citations), Signal Processing (51 citations) and Computer Networks and Communications (74 citations). Doron Nussbaum has collaborated with scholars based in Canada, Norway and Germany. Frequent co-authors include Jörg-Rüdiger Sack, Mark Lanthier, B. John Oommen, Nicola Santoro, Anil Maheshwari, Hristo Djidjev, Matt Duckham, D. A. W. Hutchinson, Lyudmil Aleksandrov and Amiya Nayak. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Computers and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.