Gady Agam

154 total papers · 1.7k total citations
90 papers, 991 citations indexed

About

Gady Agam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Gady Agam has authored 90 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Gady Agam's work include Handwritten Text Recognition Techniques (21 papers), Image Retrieval and Classification Techniques (20 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Gady Agam is often cited by papers focused on Handwritten Text Recognition Techniques (21 papers), Image Retrieval and Classification Techniques (20 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Gady Agam collaborates with scholars based in United States, Israel and India. Gady Agam's 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 and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Gady Agam

87 papers receiving 933 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gady Agam 540 221 200 123 86 90 991
Hua Li 430 0.8× 226 1.0× 188 0.9× 77 0.6× 46 0.5× 76 1.1k
Sen Yang 366 0.7× 480 2.2× 636 3.2× 74 0.6× 43 0.5× 57 1.1k
Pantelis A. Asvestas 267 0.5× 205 0.9× 143 0.7× 63 0.5× 60 0.7× 82 836
Annalisa Barla 248 0.5× 65 0.3× 151 0.8× 354 2.9× 60 0.7× 67 1.1k
Zujun Hou 485 0.9× 304 1.4× 82 0.4× 35 0.3× 152 1.8× 59 1.1k
Meng Yang 251 0.5× 187 0.8× 263 1.3× 221 1.8× 97 1.1× 48 1.0k
Mingfeng Jiang 318 0.6× 298 1.3× 239 1.2× 126 1.0× 60 0.7× 129 1.1k
Wei Xiong 422 0.8× 167 0.8× 147 0.7× 74 0.6× 77 0.9× 93 900
R. Wilson 504 0.9× 54 0.2× 88 0.4× 66 0.5× 151 1.8× 59 1.1k
Yongzhao Du 492 0.9× 211 1.0× 359 1.8× 40 0.3× 114 1.3× 66 1.1k

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).

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.

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

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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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