John T. O’Donnell

558 citations
31 papers · 169 · h-index 8

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques

Papers in

John T. O’Donnell

24 papers receiving 154 citations

Peers

John T. O’Donnell
Comparison fields: 5 of 43
  • Software 31
  • Hardware and Architecture 54
  • Computer Science Applications 25
  • Computational Theory and Mathematics 42
  • Artificial Intelligence 70
Replace Rahul Purandare with:
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Citations per year

Countries citing papers authored by John T. O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by John T. O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. O’Donnell. 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 John T. O’Donnell. The network helps show where John T. O’Donnell may publish in the future.

Co-authors

The 15 scholars most cited alongside John T. O’Donnell, 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 John T. O’Donnell Line = papers co-authored together John T. O’Donnell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195833
2 198518
3 202014
4 198514
5
Generating Netlists from Executable Circuit Specifications
199213
6 198812
7 199410
8 198510
9 20047
10 19947
11
A systolic associative lisp computer architecture with incremental parallel storage management
19817
12 19855
13 20084
14 19852
15 19882
16
Parallel VLSI architecture emulation and the organization of APSA/MPP
19872
17
ABSTRACT PARALLEL MACHINES
20001
18 20111
19 20121
20 20051

About John T. O’Donnell

John T. O’Donnell is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 31 papers that have together received 169 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Logic, programming, and type systems (7 papers), Distributed systems and fault tolerance (6 papers), Distributed and Parallel Computing Systems (5 papers), Embedded Systems Design Techniques (4 papers), Music Technology and Sound Studies (3 papers), Algorithms and Data Compression (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Software (31 citations), Hardware and Architecture (54 citations), Computer Science Applications (25 citations), Computational Theory and Mathematics (42 citations) and Artificial Intelligence (70 citations). John T. O’Donnell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Cordelia Hall, Robert B. Mesrobian, A. E. Woodward, Anthony A. Hyman, Gudula Rünger, Kevin Hammond, Patrick Prosser, Paul Cockshott, Wim Vanderbauwhede and Thomas Rauber. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Computer Music Journal, Future Generation Computer Systems and Journal of Music Technology and Education.

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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