Elias B. Issa
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology
- Co-authors
- James J. DiCarloKailyn SchmidtKohitij KarXiaoqin WangJonas KubiliusPouya BashivanRishi RajalinghamCharles F. Cadieu
- Topics
- Neural dynamics and brain function (11 papers)Face Recognition and Perception (9 papers)Visual perception and processing mechanisms (5 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Elias B. Issa
15 papers receiving 836 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 741
- Computer Vision and Pattern Recognition 198
- Artificial Intelligence 93
- Cellular and Molecular Neuroscience 88
- Experimental and Cognitive Psychology 65
Countries citing papers authored by Elias B. Issa
This map shows the geographic impact of Elias B. Issa'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 Elias B. Issa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elias B. Issa more than expected).
Fields of papers citing papers by Elias B. Issa
This network shows the impact of papers produced by Elias B. Issa. 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 Elias B. Issa. The network helps show where Elias B. Issa may publish in the future.
Co-authorship network of co-authors of Elias B. Issa
This figure shows the co-authorship network connecting the top 25 collaborators of Elias B. Issa. A scholar is included among the top collaborators of Elias B. Issa 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 Elias B. Issa. Elias B. Issa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 253 | |
| 6 | 35 | |
| 7 | 190 | |
| 8 | 45 | |
| 9 | 2 | |
| 10 | Evidence that feedback is required for object identity inferences computed by the ventral stream | 1 |
| 11 | 31 | |
| 12 | 37 | |
| 13 | 14 | |
| 14 | 116 | |
| 15 | 40 | |
| 16 | 79 |
About Elias B. Issa
Elias B. Issa is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 855 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Face Recognition and Perception (9 papers) and Visual perception and processing mechanisms (5 papers). The work is most often cited by research in Cognitive Neuroscience (741 citations), Computer Vision and Pattern Recognition (198 citations) and Sensory Systems (46 citations). Elias B. Issa has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include James J. DiCarlo, Kailyn Schmidt, Kohitij Kar, Xiaoqin Wang, Jonas Kubilius, Pouya Bashivan, Rishi Rajalingham, Charles F. Cadieu, Paul Aparicio and Xiaoqin Wang. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and Journal of Neurophysiology.
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.