Gregory T. Byrd

775 citations
58 papers · 415 · h-index 10

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Interconnection Networks and Systems
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Mobile Agent-Based Network Management

Papers in

Gregory T. Byrd

53 papers receiving 380 citations

Peers

Gregory T. Byrd
Comparison fields: 5 of 68
  • Hardware and Architecture 146
  • Computer Networks and Communications 205
  • Artificial Intelligence 126
  • Computer Science Applications 14
  • Computational Theory and Mathematics 34
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Countries citing papers authored by Gregory T. Byrd

Since Specialization
Citations

This map shows the geographic impact of Gregory T. Byrd'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 Gregory T. Byrd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory T. Byrd more than expected).

Fields of papers citing papers by Gregory T. Byrd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory T. Byrd. 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 Gregory T. Byrd. The network helps show where Gregory T. Byrd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 202043
3 201737
4 199534
5 199924
6 199524
7
Multicast communication in multiprocessor systems
198920
8 200317
9 202211
10 201910
11 20089
12
An Instrumented Architectural Simulation System
19878
13 20068
14 20097
15 20237
16 20167
17 20227
18 20096
19 20166
20 20066

About Gregory T. Byrd

Gregory T. Byrd is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Information Systems, having authored 58 papers that have together received 415 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Distributed systems and fault tolerance (18 papers), Quantum Computing Algorithms and Architecture (9 papers), Advanced Data Storage Technologies (9 papers), Quantum Information and Cryptography (7 papers), Interconnection Networks and Systems (7 papers), Distributed and Parallel Computing Systems (5 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Hardware and Architecture (146 citations), Computer Networks and Communications (205 citations), Artificial Intelligence (126 citations), Computer Science Applications (14 citations) and Computational Theory and Mathematics (34 citations). Gregory T. Byrd has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Ji Liu, Huiyang Zhou, Michael Flynn, Brian D. Johnson, Mark A. Holliday, Scooter Willis, Khaled Z. Ibrahim, Eli Rotenberg, Daniel D. Stancil and Mohannad Ibrahim. Their work appears in journals such as Computer, Communications of the ACM, Progress in Quantum Electronics, Proceedings of the IEEE and International Journal of Sensor Networks.

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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