Michael Gertz

94 papers and 2.3k indexed citations i.

About

Michael Gertz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Michael Gertz has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 18 papers in Signal Processing. Recurrent topics in Michael Gertz’s work include Natural Language Processing Techniques (18 papers), Data Management and Algorithms (17 papers) and Pharmacogenetics and Drug Metabolism (17 papers). Michael Gertz is often cited by papers focused on Natural Language Processing Techniques (18 papers), Data Management and Algorithms (17 papers) and Pharmacogenetics and Drug Metabolism (17 papers). Michael Gertz collaborates with scholars based in Germany, United States and United Kingdom. Michael Gertz's co-authors include Aleksandra Galetin, Jannik Strötgen, J. Brian Houston, J. Brian Houston, Anthony Harrison, Peter Kilford, T. J. Jankun-Kelly, Charles U. Martel, Stuart G. Stubblebine and Prémkumar Dévanbu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lab on a Chip and Journal of Pharmaceutical Sciences.

In The Last Decade

Co-authorship network of co-authors of Michael Gertz i

Fields of papers citing papers by Michael Gertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Gertz

Since Specialization
Citations

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