Hugo Guterman

67 papers and 1.8k indexed citations i.

About

Hugo Guterman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hugo Guterman has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Hugo Guterman’s work include Neural Networks and Applications (12 papers), Spectroscopy and Chemometric Analyses (10 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Hugo Guterman is often cited by papers focused on Neural Networks and Applications (12 papers), Spectroscopy and Chemometric Analyses (10 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Hugo Guterman collaborates with scholars based in Israel, United Kingdom and United States. Hugo Guterman's co-authors include Amos Richmond, Hu Qiang, S. Mordechaǐ, Jed Goldstein, S. Ben‐Yaakov, Shmuel Argov, Y. Shabtai, Boaz Lerner, Yosi Keller and I. Dinstein and has published in prestigious journals such as Journal of the American Statistical Association, Analytical Chemistry and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Hugo Guterman i

Fields of papers citing papers by Hugo Guterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hugo Guterman

Since Specialization
Citations

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