Gad M. Landau

92 papers and 1.4k indexed citations i.

About

Gad M. Landau is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Gad M. Landau has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 55 papers in Molecular Biology and 34 papers in Computational Theory and Mathematics. Recurrent topics in Gad M. Landau’s work include Algorithms and Data Compression (77 papers), DNA and Biological Computing (36 papers) and semigroups and automata theory (26 papers). Gad M. Landau is often cited by papers focused on Algorithms and Data Compression (77 papers), DNA and Biological Computing (36 papers) and semigroups and automata theory (26 papers). Gad M. Landau collaborates with scholars based in Israel, United States and Italy. Gad M. Landau's co-authors include Uzi Vishkin, Jeanette P. Schmidt, Amihood Amir, Dina Sokol, Michal Ziv-Ukelson, Oren Weimann, Maxime Crochemore, Alberto Apostolico, Baruch Schieber and Eugene W. Myers and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Co-authorship network of co-authors of Gad M. Landau i

Fields of papers citing papers by Gad M. Landau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gad M. Landau

Since Specialization
Citations

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