Michael Hicks

9.6k citations
167 papers · 5.5k · 2 hit papers · h-index 37

Impact in

Papers in

Michael Hicks

163 papers receiving 5.1k citations

Michael Hicks's Hit Papers

Evaluating Fuzz Testing 2018 · 388 citations
3880+8+16Years since publication100200300400

Peers

Michael Hicks
Comparison fields: 5 of 79
  • Software 1.1k
  • Hardware and Architecture 1.4k
  • Signal Processing 1.3k
  • Computer Networks and Communications 2.6k
  • Artificial Intelligence 3.6k
Replace Laurie Hendren with:
Laurie Hendren Canada
Jeffrey S. Foster United States
George C. Necula United States
Barton P. Miller United States
Yannis Smaragdakis United States
Barbara G. Ryder United States
Benjamin G. Zorn United States
Craig Chambers United States
Andrew C. Myers United States
Eran Yahav Israel
Michael Hicks relative to Laurie Hendren Canada Laurie Hendren's profile →
Citations per field
00.5×3.6×
Laurie Hendren · 1×
Citations per year

Countries citing papers authored by Michael Hicks

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Hicks, 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 Michael Hicks Line = papers co-authored together Michael Hicks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cyclone: A Safe Dialect of C
Hit paper breakdown →
2002425
2
Evaluating Fuzz Testing
Hit paper breakdown →
2018388
3 2002278
4 2007197
5 2007189
6 1998166
7 2001161
8 1998144
9 2006135
10 2005132
11 2005130
12 2006128
13 2006123
14 2009120
15 2009107
16 200695
17 200588
18 200879
19 200975
20 201172

About Michael Hicks

Michael Hicks is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Signal Processing, having authored 167 papers that have together received 5.5k indexed citations. Recurring topics across this work include Security and Verification in Computing (65 papers), Parallel Computing and Optimization Techniques (45 papers), Distributed systems and fault tolerance (42 papers), Logic, programming, and type systems (40 papers), Advanced Malware Detection Techniques (33 papers), Software System Performance and Reliability (29 papers), Advanced Software Engineering Methodologies (26 papers) and Software Engineering Research (26 papers). The work is most often cited by research in Software (1.1k citations), Hardware and Architecture (1.4k citations), Signal Processing (1.3k citations), Computer Networks and Communications (2.6k citations) and Artificial Intelligence (3.6k citations). Michael Hicks has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jeffrey S. Foster, Scott Nettles, Iulian Neamtiu, Trevor Jim, Polyvios Pratikakis, Jonathan T. Moore, Dan Grossman, Nikhil Swamy, James Cheney and Nick L. Petroni. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, ACM Transactions on Programming Languages and Systems, Communications of the ACM and Software Practice and Experience.

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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