David J. Farber

2.3k citations
64 papers · 1.4k · h-index 17

Impact in

Papers in

David J. Farber

52 papers receiving 1.1k citations

Peers

David J. Farber
Comparison fields: 5 of 89
  • Hardware and Architecture 328
  • Computer Networks and Communications 714
  • Signal Processing 311
  • Artificial Intelligence 682
  • Information Systems 365
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Citations per year

Countries citing papers authored by David J. Farber

Since Specialization
Citations

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

Fields of papers citing papers by David J. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Farber. 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 David J. Farber. The network helps show where David J. Farber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002333
2 1999246
3 1975110
4 196487
5 200785
6 198638
7 199136
8 199335
9
Automated Recovery in a Secure Bootstrap Process
199730
10
Eros: a capability system
199930
11 199227
12 199026
13 197721
14 196620
15
The Mether System: Distributed Shared Memory for SunOS 4.0
199319
16 195317
17
NETWORK SECURITY VIA DYNAMIC PROCESS RENAMING.
197516
18 199915
19 200715
20 199814

About David J. Farber

David J. Farber is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (16 papers), Advanced Data Storage Technologies (11 papers), Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (6 papers), Security and Verification in Computing (5 papers), Service-Oriented Architecture and Web Services (4 papers), Petri Nets in System Modeling (4 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Hardware and Architecture (328 citations), Computer Networks and Communications (714 citations), Signal Processing (311 citations), Artificial Intelligence (682 citations) and Information Systems (365 citations). David J. Farber has collaborated with scholars based in United States and Canada. Frequent co-authors include Jonathan M. Smith, William A. Arbaugh, Jonathan Shapiro, Philip M. Merlin, Ralph E. Griswold, Ronald G. Minnich, W.D. Sincoskie, Adrian Perrig, Mahadev Satyanarayanan and Bruce S. Davie. Their work appears in journals such as Computer, International journal of communication, Industrial and Labor Relations Review, Communications of the ACM and ACM SIGCOMM Computer Communication Review.

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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