Thomas D. LaToza

2.7k citations
57 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Software Engineering Research (47 papers)Open Source Software Innovations (25 papers)Software Engineering Techniques and Practices (18 papers)

In The Last Decade

Thomas D. LaToza

53 papers receiving 1.6k citations

Hit Papers

Maintaining mental models20062026201220192006100200300400

Peers

Thomas D. LaToza
Comparison fields: 5 of 61
  • Information Systems 1.3k
  • Computer Science Applications 648
  • Software 434
  • Artificial Intelligence 335
  • Computer Networks and Communications 270
Replace Jonathan Sillito with:
Jonathan Sillito Canada
Andrew J. Ko United States
Tessa Lau United States
Kelly Blincoe New Zealand
Fabiano Dalpiaz Netherlands
Michael Fagan United States
Giuseppe Scanniello Italy
Huzefa Kagdi United States
Andrea Mocci Switzerland
Erik Arisholm Norway
Thomas D. LaToza relative to Jonathan Sillito Canada Jonathan Sillito's profile →
Citations per field
00.5×1.5×2.3×
Jonathan Sillito · 1×
Citations per year

Countries citing papers authored by Thomas D. LaToza

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. LaToza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. LaToza. 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 Thomas D. LaToza. The network helps show where Thomas D. LaToza may publish in the future.

Co-authorship network of co-authors of Thomas D. LaToza

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. LaToza. A scholar is included among the top collaborators of Thomas D. LaToza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas D. LaToza. Thomas D. LaToza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 3
4 1
5 1
6 3
7 31
8 11
9 27
10 59
11 15
12
Proceedings of the Second International Workshop on CrowdSourcing in Software Engineering
2
13 33
14 6
15 32
16 48
17
Answering reachability questions
1
18 55
19 1
20 14

About Thomas D. LaToza

Thomas D. LaToza is a scholar working on Computer Science Applications, Software and Information Systems, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Engineering Research (47 papers), Open Source Software Innovations (25 papers) and Software Engineering Techniques and Practices (18 papers). The work is most often cited by research in Computer Science Applications (648 citations), Software (434 citations) and Information Systems (1.3k citations). Thomas D. LaToza has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Brad A. Myers, Gina Venolia, Robert DeLine, André van der Hoek, Margaret Burnett, Andrew J. Ko, YoungSeok Yoon, James D. Herbsleb, Amy J. Ko and David Garlan. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Computer.

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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