Jeffrey S. Norris
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Co-authors
- Paul BackesMark PowellMarsette VonaM. J. GrahamElizabeth LawlerC. DonalekJerry ZhangA. J. Drake
- Topics
- Planetary Science and Exploration (12 papers)Distributed and Parallel Computing Systems (11 papers)Distributed systems and fault tolerance (9 papers)
- Cited by
- Human-Computer InteractionComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- IEEE SoftwarePharmacologyarXiv (Cornell University)
- Partner nations
- United StatesItaly
In The Last Decade
Jeffrey S. Norris
31 papers receiving 543 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 233
- Human-Computer Interaction 131
- Aerospace Engineering 115
- Computer Networks and Communications 99
- Mechanical Engineering 86
Countries citing papers authored by Jeffrey S. Norris
This map shows the geographic impact of Jeffrey S. Norris'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 Jeffrey S. Norris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Norris more than expected).
Fields of papers citing papers by Jeffrey S. Norris
This network shows the impact of papers produced by Jeffrey S. Norris. 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 Jeffrey S. Norris. The network helps show where Jeffrey S. Norris may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Norris
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Norris. A scholar is included among the top collaborators of Jeffrey S. Norris 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 Jeffrey S. Norris. Jeffrey S. Norris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 227 | |
| 2 | 5 | |
| 3 | MSLICE Science Activity Planner for the Mars Science Laboratory Mission | 2 |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 69 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | FIDO: a field integrated design and operations rover for Mars surface exploration | 35 |
| 20 | 9 |
About Jeffrey S. Norris
Jeffrey S. Norris is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 599 indexed citations. Recurring topics across this work include Planetary Science and Exploration (12 papers), Distributed and Parallel Computing Systems (11 papers) and Distributed systems and fault tolerance (9 papers). The work is most often cited by research in Human-Computer Interaction (131 citations), Computer Graphics and Computer-Aided Design (42 citations) and Computer Vision and Pattern Recognition (233 citations). Jeffrey S. Norris has collaborated with scholars based in United States and Italy. Frequent co-authors include Paul Backes, Mark Powell, Marsette Vona, M. J. Graham, Elizabeth Lawler, C. Donalek, Jerry Zhang, A. J. Drake, G. Longo and Scott Davidoff. Their work appears in journals such as IEEE Software, Pharmacology and arXiv (Cornell University).
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.