Todd A. Proebsting

2.1k citations
50 papers · 1.3k · h-index 21

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 2%
    • Software Testing and Debugging Techniques

Papers in

Todd A. Proebsting

49 papers receiving 1.1k citations

Peers

Todd A. Proebsting
Comparison fields: 5 of 56
  • Hardware and Architecture 814
  • Software 198
  • Computer Networks and Communications 573
  • Artificial Intelligence 598
  • Information Systems and Management 80
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Citations per year

Countries citing papers authored by Todd A. Proebsting

Since Specialization
Citations

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

Fields of papers citing papers by Todd A. Proebsting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd A. Proebsting. 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 Todd A. Proebsting. The network helps show where Todd A. Proebsting may publish in the future.

Co-authors

The 22 scholars most cited alongside Todd A. Proebsting, 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 Todd A. Proebsting Line = papers co-authored together Todd A. Proebsting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992142
2 2016114
3 1995109
4 1992106
5 1997105
6
Toba: Java For Applications: A Way Ahead of Time (WAT) Compiler
199779
7 200253
8
Liquid Software: A New Paradigm for Networked Systems
199651
9 199448
10 199446
11 199439
12 199438
13 199632
14 199931
15 199228
16 199525
17 199125
18
Krakatoa: decompilation in java (dose bytecode reveal source?)
199725
19 199425
20 199222

About Todd A. Proebsting

Todd A. Proebsting is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Software, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (30 papers), Logic, programming, and type systems (15 papers), Algorithms and Data Compression (13 papers), Software Testing and Debugging Techniques (9 papers), Distributed systems and fault tolerance (8 papers), Formal Methods in Verification (7 papers), Advanced Database Systems and Queries (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (814 citations), Software (198 citations), Computer Networks and Communications (573 citations), Artificial Intelligence (598 citations) and Information Systems and Management (80 citations). Todd A. Proebsting has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christopher W. Fraser, David R. Hanson, Christian Collberg, Scott A. Watterson, Dawson Engler, Charles N. Fischer, Robert R. Henry, John H. Hartman, Larry Peterson and Sean O’Malley. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, ACM Transactions on Programming Languages and Systems, 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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