M. Gutman

12 papers and 450 indexed citations i.

About

M. Gutman is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Gutman has authored 12 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Gutman’s work include Algorithms and Data Compression (7 papers), Machine Learning and Algorithms (4 papers) and Advanced Data Compression Techniques (3 papers). M. Gutman is often cited by papers focused on Algorithms and Data Compression (7 papers), Machine Learning and Algorithms (4 papers) and Advanced Data Compression Techniques (3 papers). M. Gutman collaborates with scholars based in Israel and United States. M. Gutman's co-authors include Neri Merhav, Meir Feder, J. Ziv, Ofer Zeitouni and Yossef Steinberg and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and RePEc: Research Papers in Economics.

In The Last Decade

Co-authorship network of co-authors of M. Gutman i

Fields of papers citing papers by M. Gutman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Gutman

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025