Jeremy Sugerman

4.3k citations
14 papers · 3.1k indexed · 2 hit papers · h-index 13
Topics
Parallel Computing and Optimization Techniques (10 papers)Distributed and Parallel Computing Systems (5 papers)Computer Graphics and Visualization Techniques (5 papers)

In The Last Decade

Jeremy Sugerman

14 papers receiving 2.8k citations

Hit Papers

Brook for GPUs200420262011201820042008250500750

Peers

Jeremy Sugerman
Comparison fields: 5 of 88
  • Computer Networks and Communications 1.8k
  • Hardware and Architecture 1.7k
  • Information Systems 680
  • Computer Vision and Pattern Recognition 616
  • Computer Graphics and Computer-Aided Design 549
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Jeremy Sugerman relative to Jatin Chhugani United States Jatin Chhugani's profile →
Citations per field
00.5×3.7×
Jatin Chhugani · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Jeremy Sugerman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Sugerman. A scholar is included among the top collaborators of Jeremy Sugerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Sugerman. Jeremy Sugerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 77
2 47
3
Programming Many-Core Systems with GRAMPS
1
4 112
5 125
6 56
7 569
8 117
9 145
10 195
11 206
12 201
13
Brook for GPUsbreakdown →
804
14
Virtualizing I/O Devices on VMware Workstation's Hosted Virtual Machine Monitor
423

About Jeremy Sugerman

Jeremy Sugerman is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 3.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (5 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Computer Graphics and Computer-Aided Design (549 citations) and Computer Networks and Communications (1.8k citations). Jeremy Sugerman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Pat Hanrahan, Tim Foley, Kayvon Fatahalian, Mike Houston, Daniel Reiter Horn, Ian Buck, Ganesh Venkitachalam, Beng-Hong Lim, Stephen Junkins and Toni Juan. Their work appears in journals such as ACM Transactions on Graphics, ACM Transactions on Computer Systems and IEEE Micro.

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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