Timothy A. Budd

1.9k citations
45 papers · 943 · h-index 15

Impact in

  • Software top 0.5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Parallel Computing and Optimization Techniques

Papers in

Timothy A. Budd

41 papers receiving 821 citations

Peers

Timothy A. Budd
Comparison fields: 5 of 81
  • Software 595
  • Hardware and Architecture 190
  • Information Systems 387
  • Computer Science Applications 83
  • Signal Processing 140
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Citations per year

Countries citing papers authored by Timothy A. Budd

Since Specialization
Citations

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

Fields of papers citing papers by Timothy A. Budd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Timothy A. Budd, 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 Timothy A. Budd Line = papers co-authored together Timothy A. Budd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982175
2
Mutation analysis of program test data
1980169
3 1980106
4
The design of a prototype mutation system for program testing.
197859
5 198556
6
An APL Compiler
198735
7 198435
8
Multiparadigm programming in Leda
199427
9
Understanding Object-Oriented Programming With Java
199826
10
Big C
200422
11
Classic data structures in C
199421
12
A Little Smalltalk
198721
13 198820
14 198315
15 200614
16 198314
17
An introduction to object-oriented programming (2nd ed.)
199713
18 198212
19 199511
20
Classic Data Structures in Java
200011

About Timothy A. Budd

Timothy A. Budd is a scholar working on Artificial Intelligence, Computer Networks and Communications, Software, Hardware and Architecture and Information Systems, having authored 45 papers that have together received 943 indexed citations. Recurring topics across this work include Logic, programming, and type systems (11 papers), Software Testing and Debugging Techniques (7 papers), Software Engineering Research (7 papers), Parallel Computing and Optimization Techniques (6 papers), Teaching and Learning Programming (6 papers), Distributed and Parallel Computing Systems (5 papers), Formal Methods in Verification (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Software (595 citations), Hardware and Architecture (190 citations), Information Systems (387 citations), Computer Science Applications (83 citations) and Signal Processing (140 citations). Timothy A. Budd has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Dana Angluin, Richard J. Lipton, Richard A. DeMillo, Frederick Sayward, Cay S. Horstmann, Rajeev Pandey, Yuri Makeenko, J. Ambjørn and Charles D. Knutson. Their work appears in journals such as ACM SIGPLAN Notices, Nuclear Physics B, IEEE Software, Computer and Software Practice and Experience.

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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