Roy S. Berns
- Atomic and Molecular Physics, and Optics top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Social Psychology top 1%
- Cognitive Neuroscience top 5%
- Archeology top 0.5%
- Co-authors
- Di-Yuan TzengFrancisco H. ImaiLawrence A. TaplinMitchell R. RosenMark D. FairchildRicardo J. MottaPeter D. BurnsYonghui Zhao
- Topics
- Color Science and Applications (156 papers)Color perception and design (66 papers)Cultural Heritage Materials Analysis (37 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsComputer Vision and Pattern RecognitionConservation
- Partner nations
- United StatesJapanGermany
In The Last Decade
Roy S. Berns
172 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 145
- Atomic and Molecular Physics, and Optics 2.8k
- Computer Vision and Pattern Recognition 1.4k
- Social Psychology 1.2k
- Cognitive Neuroscience 619
- Archeology 489
Countries citing papers authored by Roy S. Berns
This map shows the geographic impact of Roy S. Berns'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 Roy S. Berns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy S. Berns more than expected).
Fields of papers citing papers by Roy S. Berns
This network shows the impact of papers produced by Roy S. Berns. 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 Roy S. Berns. The network helps show where Roy S. Berns may publish in the future.
Co-authorship network of co-authors of Roy S. Berns
This figure shows the co-authorship network connecting the top 25 collaborators of Roy S. Berns. A scholar is included among the top collaborators of Roy S. Berns 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 Roy S. Berns. Roy S. Berns 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 | 1 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | Spectral Imaging Target Development Based on Hiearchical Cluster Analysis. | 21 |
| 12 | Unified Measure of Goodness and Optimal Design of Spectral Sensitivity Functions | 18 |
| 13 | 93 | |
| 14 | 24 | |
| 15 | Evaluating the Effect of Varnishes on the Color and Spatial Image Quality of Paintings. | 3 |
| 16 | 11 | |
| 17 | 46 | |
| 18 | 10 | |
| 19 | 73 | |
| 20 | 6 |
About Roy S. Berns
Roy S. Berns is a scholar working on Atomic and Molecular Physics, and Optics, Archeology and Social Psychology, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Color Science and Applications (156 papers), Color perception and design (66 papers) and Cultural Heritage Materials Analysis (37 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.8k citations), Computer Vision and Pattern Recognition (1.4k citations) and Conservation (221 citations). Roy S. Berns has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Di-Yuan Tzeng, Francisco H. Imai, Lawrence A. Taplin, Mitchell R. Rosen, Mark D. Fairchild, Ricardo J. Motta, Peter D. Burns, Yonghui Zhao, David H. Alman and Manuel Melgosa. Their work appears in journals such as IEEE Transactions on Image Processing, Chemical Physics Letters and Optics Letters.
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.