Michael Hind

41 papers and 1.1k indexed citations i.

About

Michael Hind is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Michael Hind has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Hardware and Architecture and 12 papers in Computer Networks and Communications. Recurrent topics in Michael Hind’s work include Parallel Computing and Optimization Techniques (22 papers), Logic, programming, and type systems (12 papers) and Software Testing and Debugging Techniques (8 papers). Michael Hind is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Logic, programming, and type systems (12 papers) and Software Testing and Debugging Techniques (8 papers). Michael Hind collaborates with scholars based in United States, Belgium and United Kingdom. Michael Hind's co-authors include Matthew Arnold, David Grove, Stephen J. Fink, Kush R. Varshney, Aleksandra Mojsilović, Stephanie Houde, John T. Richards, Karthikeyan Natesan Ramamurthy, Sameep Mehta and Rachel Bellamy and has published in prestigious journals such as Proceedings of the IEEE, Journal of Machine Learning Research and IBM Journal of Research and Development.

In The Last Decade

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

Fields of papers citing papers by Michael Hind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Hind

Since Specialization
Citations

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