Jeremy Sugerman

9 papers and 1.3k indexed citations i.

About

Jeremy Sugerman is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jeremy Sugerman has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Jeremy Sugerman’s work include Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Vision and Imaging (3 papers). Jeremy Sugerman is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Vision and Imaging (3 papers). Jeremy Sugerman collaborates with scholars based in United States and United Kingdom. Jeremy Sugerman's co-authors include Pat Hanrahan, Kayvon Fatahalian, Mike Houston, Daniel Reiter Horn, Tim Foley, Ian Buck, Beng-Hong Lim, Ganesh Venkitachalam, Larry Seiler and Eric Sprangle and has published in prestigious journals such as ACM Transactions on Graphics, ACM Transactions on Computer Systems and IEEE Micro.

In The Last Decade

Co-authorship network of co-authors of Jeremy Sugerman i

Fields of papers citing papers by Jeremy Sugerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jeremy Sugerman

Since Specialization
Citations

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