David Chaiken

1.5k citations
18 papers · 848 · h-index 9

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems

Papers in

David Chaiken

16 papers receiving 735 citations

Peers

David Chaiken
Comparison fields: 5 of 30
  • Hardware and Architecture 739
  • Computer Networks and Communications 798
  • Information Systems 88
  • Electrical and Electronic Engineering 117
  • Artificial Intelligence 32
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Citations per field
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Countries citing papers authored by David Chaiken

Since Specialization
Citations

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

Fields of papers citing papers by David Chaiken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside David Chaiken, 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 Chaiken Line = papers co-authored together David Chaiken links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1995293
2 1991254
3 1990153
4 199438
5 199231
6
Directory-based cache coherence in large-scale multiprocessors
199528
7 199915
8
CACHE COHERENCE PROTOCOLS FOR LARGE-SCALE MULTIPROCESSORS
199013
9 19959
10 19913
11 19983
12 19942
13
Mechanisms and interfaces for software-extended coherent shared memory
19952
14 19912
15 19911
16
The Virtual Book
19981
17
Multiprocessor Address Tracing and Performance Analysis
19910
18 19920

About David Chaiken

David Chaiken is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and General Health Professions, having authored 18 papers that have together received 848 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Advanced Data Storage Technologies (10 papers), Distributed systems and fault tolerance (9 papers), Distributed and Parallel Computing Systems (4 papers), Interconnection Networks and Systems (4 papers), Cloud Computing and Resource Management (2 papers), Hermeneutics and Narrative Identity (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Hardware and Architecture (739 citations), Computer Networks and Communications (798 citations), Information Systems (88 citations), Electrical and Electronic Engineering (117 citations) and Artificial Intelligence (32 citations). David Chaiken has collaborated with scholars based in United States and Brazil. Frequent co-authors include Anant Agarwal, John Kubiatowicz, Kenichi Kurihara, Beng-Hong Lim, Donald Yeung, Ricardo Bianchini, David Kranz, Kenneth MacKenzie, Kirk L. Johnson and Frederic T. Chong. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the IEEE, Computer, ACM SIGOPS Operating Systems Review and Defense Technical Information Center (DTIC).

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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