Arie Kaufman

13 papers and 124 indexed citations i.

About

Arie Kaufman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Arie Kaufman has authored 13 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Arie Kaufman’s work include Computer Graphics and Visualization Techniques (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Image Retrieval and Classification Techniques (3 papers). Arie Kaufman is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Image Retrieval and Classification Techniques (3 papers). Arie Kaufman collaborates with scholars based in United States and Israel. Arie Kaufman's co-authors include Saad Nadeem, Feng Qiu, Roni Yagel, Daniel C. Cohen, Ming Wan, Steve Bryson, Matthew A. Barish and Ji Hwan Park and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Programming Languages and Systems and The Visual Computer.

In The Last Decade

Co-authorship network of co-authors of Arie Kaufman i

Fields of papers citing papers by Arie Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arie Kaufman. 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 Arie Kaufman. The network helps show where Arie Kaufman may publish in the future.

Countries citing papers authored by Arie Kaufman

Since Specialization
Citations

This map shows the geographic impact of Arie Kaufman'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 Arie Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arie Kaufman 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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