Gady Agam

72 papers and 525 indexed citations i.

About

Gady Agam is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Gady Agam has authored 72 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 11 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Gady Agam’s work include Image Retrieval and Classification Techniques (18 papers), Handwritten Text Recognition Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Gady Agam is often cited by papers focused on Image Retrieval and Classification Techniques (18 papers), Handwritten Text Recognition Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Gady Agam collaborates with scholars based in United States, Israel and India. Gady Agam's co-authors include I. Dinstein, Changhua Wu, Samuel G. Armato, Ophir Frieder, Tayo Obafemi-Ajayi, Konstantinos Arfanakis, Xiaojing Tang, Shengwei Zhang, Robert J. Dawe and Huiling Peng and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Gady Agam i

Fields of papers citing papers by Gady Agam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Gady Agam

Since Specialization
Citations

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).

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.

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2025