Dan Williams

2.1k citations
42 papers · 1.1k · h-index 18

Impact in

Papers in

Dan Williams

40 papers receiving 1.1k citations

Peers

Dan Williams
Comparison fields: 5 of 30
  • Information Systems 389
  • Computer Networks and Communications 311
  • Hardware and Architecture 99
  • Artificial Intelligence 316
  • Computer Vision and Pattern Recognition 202
Replace Shanqing Guo with:
Shanqing Guo China
Ardalan Amiri Sani United States
Valerio Schiavoni Switzerland
Jiyong Jang United States
Zhongshu Gu United States
Philip Homburg Netherlands
Joshua A. Tauber United States
Marcelo Pasin Switzerland
Ruoming Pang United States
Gerardo Pelosi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dan Williams

Since Specialization
Citations

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

Fields of papers citing papers by Dan Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013223
2 2012110
3 2013106
4 200882
5 201159
6 201159
7 201843
8 201739
9 202039
10
Unikernel monitors: extending minimalism outside of the box
201628
11 200527
12 201425
13 201525
14 201121
15 200420
16 201320
17
Version traveler: fast and memory-efficient version switching in graph processing systems
201618
18 202318
19 201217
20 202214

About Dan Williams

Dan Williams is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Hardware and Architecture and Software, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Security and Verification in Computing (21 papers), Cloud Computing and Resource Management (14 papers), Software System Performance and Reliability (4 papers), Software-Defined Networks and 5G (3 papers), Logic, programming, and type systems (3 papers), Distributed systems and fault tolerance (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Information Systems (389 citations), Computer Networks and Communications (311 citations), Hardware and Architecture (99 citations), Artificial Intelligence (316 citations) and Computer Vision and Pattern Recognition (202 citations). Dan Williams has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Hani T. Jamjoom, Hakim Weatherspoon, Ricardo Koller, Emin Gün Sirer, Zuhair Khayyat, Panos Kalnis, Shriram Rajagopalan, Fred B. Schneider, Kevin S. Walsh and Patrick Reynolds. Their work appears in journals such as IEEE Internet Computing, Computer Networks, ACM SIGPLAN Notices, Lecture notes in computer science and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).

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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