Dan Gohman

704 citations
5 papers · 377 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Dan Gohman

5 papers receiving 356 citations

Hit Papers

Bringing the web up to speed with WebAssembly 2017 · 269 citations
269201720262020202350100150200250

Peers

Dan Gohman
Comparison fields: 5 of 50
  • Hardware and Architecture 108
  • Software 49
  • Signal Processing 72
  • Computer Networks and Communications 131
  • Artificial Intelligence 176
Replace Derek L. Schuff with:
Derek L. Schuff United States
Eduardo Cunha de Almeida Brazil
Christian Schulte Sweden
Jóakim von Kistowski Germany
Akash Lal India
Jieke Shi Singapore
Jonathan Traupman United States
Vasco Manquinho Portugal
Petr Tůma Czechia
Valerio Schiavoni Switzerland
Dan Gohman relative to Derek L. Schuff United States Derek L. Schuff's profile →
Citations per field
00.5×1.5×
Derek L. Schuff · 1×
Citations per year

Countries citing papers authored by Dan Gohman

Since Specialization
Citations

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

Fields of papers citing papers by Dan Gohman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Dan Gohman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Gohman Line = papers co-authored together Dan Gohman links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 202314
2 201818
3
Bringing the web up to speed with WebAssembly
Hit paper breakdown →
2017269
4 201770
5 20156

About Dan Gohman

Dan Gohman is a scholar working on Hardware and Architecture, Software, Artificial Intelligence, Signal Processing and Information Systems, having authored 5 papers that have together received 377 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Security and Verification in Computing (4 papers), Logic, programming, and type systems (2 papers), Distributed and Parallel Computing Systems (1 paper), Software Engineering Research (1 paper), Diamond and Carbon-based Materials Research (1 paper), Software Testing and Debugging Techniques (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (108 citations), Software (49 citations), Signal Processing (72 citations), Computer Networks and Communications (131 citations) and Artificial Intelligence (176 citations). Dan Gohman has collaborated with scholars based in United States, Australia and Jamaica. Frequent co-authors include Alon Zakai, Derek L. Schuff, Andreas Rossberg, Ben L. Titzer, Fraser Brown, Stefan Savage, Deian Stefan, Stephen M. Blackburn, Peter Jensen and Mohammad R. Haghighat. Their work appears in journals such as ACM SIGPLAN Notices and Communications of the ACM.

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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