Todd Millstein

6.5k citations
118 papers · 3.6k · h-index 36

Impact in

Papers in

Todd Millstein

114 papers receiving 3.3k citations

Peers

Todd Millstein
Comparison fields: 5 of 81
  • Software 1.0k
  • Hardware and Architecture 770
  • Computer Networks and Communications 1.6k
  • Artificial Intelligence 1.9k
  • Information Systems 1.3k
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Martin Odersky Switzerland
Craig Chambers United States
Eran Yahav Israel
Grigore Roşu United States
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Keith D. Cooper United States
Sriram K. Rajamani United States
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Countries citing papers authored by Todd Millstein

Since Specialization
Citations

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

Fields of papers citing papers by Todd Millstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001275
2 2000178
3 2012157
4 2013136
5
Navigational plans for data integration
1999112
6 2012109
7
Automatic SAT-compilation of planning problems
1997109
8
A general approach to network configuration analysis
2015102
9 201687
10 201284
11 200580
12 201579
13
Titian: Data Provenance Support in Spark.
201570
14 200365
15 201065
16 200459
17 200657
18 200357
19 201256
20 200655

About Todd Millstein

Todd Millstein is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Computational Theory and Mathematics, having authored 118 papers that have together received 3.6k indexed citations. Recurring topics across this work include Logic, programming, and type systems (40 papers), Parallel Computing and Optimization Techniques (36 papers), Security and Verification in Computing (27 papers), Formal Methods in Verification (26 papers), Software Engineering Research (21 papers), Advanced Software Engineering Methodologies (20 papers), Distributed systems and fault tolerance (20 papers) and Software Testing and Debugging Techniques (18 papers). The work is most often cited by research in Software (1.0k citations), Hardware and Architecture (770 citations), Computer Networks and Communications (1.6k citations), Artificial Intelligence (1.9k citations) and Information Systems (1.3k citations). Todd Millstein has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Craig Chambers, Rupak Majumdar, Thomas Ball, Sriram K. Rajamani, Gary T. Leavens, Daniel Marino, Sorin Lerner, Curtis Clifton, Madanlal Musuvathi and Ratul Mahajan. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Proceedings of the ACM on Programming Languages, ACM SIGCOMM Computer Communication Review and Information and Computation.

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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