James Dinan

1.8k citations
53 papers · 995 · h-index 19

Impact in

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

Papers in

James Dinan

52 papers receiving 962 citations

Peers

James Dinan
Comparison fields: 5 of 72
  • Hardware and Architecture 759
  • Computer Networks and Communications 775
  • Computational Mathematics 8
  • Information Systems 275
  • Computer Graphics and Computer-Aided Design 12
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P. Mucci United States
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Cédric Augonnet France
Samuel Thibault France
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Sreeram Potluri United States
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Adolfy Hoisie United States
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Citations per field
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Citations per year

Countries citing papers authored by James Dinan

Since Specialization
Citations

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

Fields of papers citing papers by James Dinan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 201357
3 201255
4 201553
5 200751
6 200845
7 201435
8 201035
9 201032
10 201332
11 201230
12 201628
13 201227
14 201226
15 201425
16 201224
17 200621
18 201518
19 201518
20 201317

About James Dinan

James Dinan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Spectroscopy, having authored 53 papers that have together received 995 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (49 papers), Distributed and Parallel Computing Systems (30 papers), Advanced Data Storage Technologies (29 papers), Interconnection Networks and Systems (10 papers), Cloud Computing and Resource Management (9 papers), Distributed systems and fault tolerance (8 papers), Advanced Memory and Neural Computing (3 papers) and Radiation Effects in Electronics (3 papers). The work is most often cited by research in Hardware and Architecture (759 citations), Computer Networks and Communications (775 citations), Computational Mathematics (8 citations), Information Systems (275 citations) and Computer Graphics and Computer-Aided Design (12 citations). James Dinan has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include P. Sadayappan, Pavan Balaji, Rajeev Thakur, Sriram Krishnamoorthy, D. Brian Larkins, Jarek Nieplocha, William Gropp, Darius Buntinas, David Goodell and Wu-chun Feng. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications, Simulation Modelling Practice and Theory, Indian Journal of Anaesthesia and Computing.

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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