Michael K. Reiter

133 papers and 6.0k indexed citations i.

About

Michael K. Reiter is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michael K. Reiter has authored 133 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 69 papers in Artificial Intelligence and 46 papers in Information Systems. Recurrent topics in Michael K. Reiter’s work include Distributed systems and fault tolerance (40 papers), Advanced Malware Detection Techniques (32 papers) and Security and Verification in Computing (31 papers). Michael K. Reiter is often cited by papers focused on Distributed systems and fault tolerance (40 papers), Advanced Malware Detection Techniques (32 papers) and Security and Verification in Computing (31 papers). Michael K. Reiter collaborates with scholars based in United States, Germany and Israel. Michael K. Reiter's co-authors include Peng Ning, Yao Liu, Aviel D. Rubin, Lujo Bauer, Dahlia Malkhi, Mahmood Sharif, Sruti Bhagavatula, Ari Juels, Fabian Monrose and Thomas Ristenpart and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Michael K. Reiter i

Fields of papers citing papers by Michael K. Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael K. Reiter

Since Specialization
Citations

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