Jeremy Condit

2.8k total citations · 1 hit paper
21 papers, 2.0k citations indexed

About

Jeremy Condit is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jeremy Condit has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hardware and Architecture, 13 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Jeremy Condit's work include Parallel Computing and Optimization Techniques (14 papers), Security and Verification in Computing (13 papers) and Distributed systems and fault tolerance (4 papers). Jeremy Condit is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Security and Verification in Computing (13 papers) and Distributed systems and fault tolerance (4 papers). Jeremy Condit collaborates with scholars based in United States. Jeremy Condit's co-authors include George C. Necula, Doug Burger, Edmund B. Nightingale, Engin İpek, Matthew Harren, Derrick Coetzee, Benjamin Lee, Scott McPeak, Westley Weimer and Feng Zhou and has published in prestigious journals such as Virology, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Jeremy Condit

21 papers receiving 1.9k citations

Hit Papers

Better I/O through byte-addressable, persistent memory 2009 2026 2014 2020 2009 200 400 600

Peers

Jeremy Condit
Comparison fields: 5 of 50
  • Computer Networks and Communications 1.4k
  • Hardware and Architecture 1.3k
  • Artificial Intelligence 595
  • Information Systems 486
  • Electrical and Electronic Engineering 415
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Citations per field, relative to Jeremy Condit
Jeremy Condit · 1×
Citations per year, relative to Jeremy Condit
Jeremy Condit · 1×

Countries citing papers authored by Jeremy Condit

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Condit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Condit

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Condit. A scholar is included among the top collaborators of Jeremy Condit 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 Condit. Jeremy Condit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 134
2 119
3 12
4
Better I/O through byte-addressable, persistent memory breakdown →
664
5 26
6 5
7 12
8
Beyond bug-finding: sound program analysis for Linux
5
9
Dependent types for safe systems software
2
10 123
11
Thirty years is long enough: getting beyond C
9
12 256
13
Why events are a bad idea (for high-concurrency servers)
142
14 2
15 1
16 108
17 181
18 109
19 73
20 29

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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