Dan Williams

3.1k citations
54 papers · 1.8k indexed · 1 hit paper · h-index 19

Dan Williams

51 papers receiving 1.7k citations

Hit Papers

Split/merge: system support for elastic execution in virt...236201320262017202150100150200

Peers

Dan Williams
Comparison fields: 5 of 64
  • Computer Networks and Communications 1.3k
  • Hardware and Architecture 359
  • Information Systems 702
  • Artificial Intelligence 429
  • Signal Processing 141
Replace Vivek S. Pai with:
Vivek S. Pai United States
KyoungSoo Park South Korea
Geoff Kuenning United States
Hakim Weatherspoon United States
Maurizio Matteo Munafò Italy
Xiangyao Yu United States
Carl Staelin United States
Ramadass Nagarajan United States
Mike Dahlin United States
Alex Ramírez Spain
Dan Williams relative to Vivek S. Pai United States Vivek S. Pai's profile →
Citations per field
00.5×3.9×
Vivek S. Pai · 1×
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-authorship network

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
#Work
1 20250
2 20240
3 20245
4 20241
5 20232
6 202316
7 20234
8
Say goodbye to virtualization for a safer cloud
20187
9
A Theory of Participatory Budgeting Decision Making as a Form of Empowerment
20182
10
Version traveler: fast and memory-efficient version switching in graph processing systems
201617
11 20165
12 201525
13
Software defining system devices with the 'Banana' double-split driver model
20144
14 201216
15 201110
16 201119
17 200882
18 20081
19 20081
20 20081

About Dan Williams

Dan Williams is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Signal Processing and Artificial Intelligence, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Security and Verification in Computing (21 papers), Cloud Computing and Resource Management (19 papers), Distributed systems and fault tolerance (12 papers), Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (9 papers), Software System Performance and Reliability (8 papers), Advanced Malware Detection Techniques (8 papers) and Software-Defined Networks and 5G (7 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Hardware and Architecture (359 citations), Information Systems (702 citations), Artificial Intelligence (429 citations) and Signal Processing (141 citations). Dan Williams has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Hani Jamjoom, Ariel Orda, R. Guérin, Shriram Rajagopalan, Andrew Warfield, Hakim Weatherspoon, Ricardo Koller, Frank Hady, Annie Foong and Emin Gün Sirer. Their work appears in journals such as IBM Journal of Research and Development, IEEE Internet Computing, ACM SIGPLAN Notices, Proceedings of the IEEE and Administration & Society.

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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