Randal C. Nelson
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 2%
- Biomedical Engineering
- Artificial Intelligence top 5%
- Molecular Biology
- Co-authors
- Ramprasad PolanaJohn AloimonosAndrea SelingerRichard LehnerJihong LianHanan SametOlac FuentesMartin Jägersand
- Topics
- Advanced Vision and Imaging (19 papers)Advanced Image and Video Retrieval Techniques (15 papers)Robotics and Sensor-Based Localization (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe FASEB JournalJournal of Nutrition
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Randal C. Nelson
78 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 1.4k
- Aerospace Engineering 427
- Biomedical Engineering 253
- Artificial Intelligence 243
- Molecular Biology 236
Countries citing papers authored by Randal C. Nelson
This map shows the geographic impact of Randal C. Nelson'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 Randal C. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal C. Nelson more than expected).
Fields of papers citing papers by Randal C. Nelson
This network shows the impact of papers produced by Randal C. Nelson. 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 Randal C. Nelson. The network helps show where Randal C. Nelson may publish in the future.
Co-authorship network of co-authors of Randal C. Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Randal C. Nelson. A scholar is included among the top collaborators of Randal C. Nelson 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 Randal C. Nelson. Randal C. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 20 | |
| 6 | 15 | |
| 7 | 34 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 35 | |
| 12 | 21 | |
| 13 | Semi-supervised learning of visual classifiers from web images and text | 6 |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 42 | |
| 17 | 97 | |
| 18 | 43 | |
| 19 | 93 | |
| 20 | 38 |
About Randal C. Nelson
Randal C. Nelson is a scholar working on Computer Vision and Pattern Recognition, Biochemistry and Aerospace Engineering, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Robotics and Sensor-Based Localization (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computer Graphics and Computer-Aided Design (86 citations) and Media Technology (195 citations). Randal C. Nelson has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Ramprasad Polana, John Aloimonos, Andrea Selinger, Richard Lehner, Jihong Lian, Hanan Samet, Olac Fuentes, Martin Jägersand, T. L. Einstein and S. V. Khare. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The FASEB Journal and Journal of Nutrition.
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.