Gadi Pinkas

9 papers and 287 indexed citations i.

About

Gadi Pinkas is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gadi Pinkas has authored 9 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gadi Pinkas’s work include Bayesian Modeling and Causal Inference (3 papers), Neural Networks and Applications (2 papers) and Advanced Memory and Neural Computing (2 papers). Gadi Pinkas is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Neural Networks and Applications (2 papers) and Advanced Memory and Neural Computing (2 papers). Gadi Pinkas collaborates with scholars based in United States, Israel and Brazil. Gadi Pinkas's co-authors include Saharon Rosset, Ronald P. Loui, Rina Dechter, Gideon Bachar, Galia Barkai, Vered Aharonson, Priscila M. V. Lima and Shimon Cohen and has published in prestigious journals such as Artificial Intelligence, Neural Computation and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Gadi Pinkas i

Fields of papers citing papers by Gadi Pinkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gadi Pinkas

Since Specialization
Citations

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