Gady Agam
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Media Technology top 5%
- Co-authors
- Changhua WuI. DinsteinSamuel G. ArmatoOphir FriederShlomo ArgamonD. GrossmanDavid LewisXu Ouyang
- Topics
- Handwritten Text Recognition Techniques (21 papers)Image Retrieval and Classification Techniques (20 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Journals
- Nucleic Acids ResearchPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Gady Agam
87 papers receiving 941 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 544
- Radiology, Nuclear Medicine and Imaging 222
- Artificial Intelligence 201
- Molecular Biology 124
- Media Technology 86
Countries citing papers authored by Gady Agam
This map shows the geographic impact of Gady Agam'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 Gady Agam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gady Agam more than expected).
Fields of papers citing papers by Gady Agam
This network shows the impact of papers produced by Gady Agam. 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 Gady Agam. The network helps show where Gady Agam may publish in the future.
Co-authorship network of co-authors of Gady Agam
This figure shows the co-authorship network connecting the top 25 collaborators of Gady Agam. A scholar is included among the top collaborators of Gady Agam 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 Gady Agam. Gady Agam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | Supernova neutrino detection in NOvA | 6 |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | Generalized Sentiment-Bearing Expression Features for Sentiment Analysis | 2 |
| 13 | 7 | |
| 14 | Document Recognition and Retrieval XVII | 3 |
| 15 | 41 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 20 | |
| 20 | Manipulation of inositol-linked second messenger systems as a therapeutic strategy in psychiatry. | 12 |
About Gady Agam
Gady Agam is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 90 papers that have together received 999 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (21 papers), Image Retrieval and Classification Techniques (20 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (544 citations), Media Technology (86 citations) and Radiology, Nuclear Medicine and Imaging (222 citations). Gady Agam has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Changhua Wu, I. Dinstein, Samuel G. Armato, Ophir Frieder, Shlomo Argamon, D. Grossman, David Lewis, Xu Ouyang, Tayo Obafemi-Ajayi and Ying Chen. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.