Todd Mytkowicz

2.9k citations
72 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Todd Mytkowicz

68 papers receiving 2.0k citations

Todd Mytkowicz's Hit Papers

Approximate Computing: A Survey 2015 · 397 citations
3970+3+7Years since publication100200300

Peers

Todd Mytkowicz
Comparison fields: 5 of 78
  • Hardware and Architecture 816
  • Software 261
  • Computer Networks and Communications 731
  • Information Systems 519
  • Artificial Intelligence 725
Replace Saša Misailovíc with:
Saša Misailovíc United States
Michæl Philippsen Germany
Zachary Tatlock United States
Insik Shin South Korea
Calvin Lin United States
Thomas Groß Switzerland
Perry Cheng United States
Fabrizio Ferrandi Italy
Susmit Jha United States
Emery D. Berger United States
Todd Mytkowicz relative to Saša Misailovíc United States Saša Misailovíc's profile →
Citations per field
00.5×
Saša Misailovíc · 1×
Citations per year

Countries citing papers authored by Todd Mytkowicz

Since Specialization
Citations

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

Fields of papers citing papers by Todd Mytkowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Approximate Computing: A Survey
Hit paper breakdown →
2015397
2 2009230
3 2019147
4 200797
5 201491
6 201086
7 201480
8 200877
9 202272
10
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
201568
11 201465
12 200550
13 201347
14 200946
15 201344
16 201533
17 201231
18 200926
19 201423
20 201422

About Todd Mytkowicz

Todd Mytkowicz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Software, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (32 papers), Software Engineering Research (13 papers), Software System Performance and Reliability (11 papers), Advanced Database Systems and Queries (11 papers), Algorithms and Data Compression (11 papers), Cloud Computing and Resource Management (9 papers), Software Testing and Debugging Techniques (8 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Hardware and Architecture (816 citations), Software (261 citations), Computer Networks and Communications (731 citations), Information Systems (519 citations) and Artificial Intelligence (725 citations). Todd Mytkowicz has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Amer Diwan, Qiang Xu, Nam Sung Kim, Matthias Hauswirth, Peter F. Sweeney, Madanlal Musuvathi, Kathryn S. McKinley, James Bornholt, Wolfram Schulte and Ed H.. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Design and Test, Software Practice and Experience, Proceedings of the ACM on Programming Languages and IEEE Micro.

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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