Todd Mytkowicz

2.8k citations
70 papers · 1.9k · 1 hit paper · h-index 21

Impact in

Papers in

Todd Mytkowicz

66 papers receiving 1.8k citations

Todd Mytkowicz's Hit Papers

Approximate Computing: A Survey 2015 · 370 citations
3700+3+7Years since publication100200300

Peers

Todd Mytkowicz
Comparison fields: 5 of 78
  • Hardware and Architecture 751
  • Software 231
  • Computer Networks and Communications 677
  • Information Systems 474
  • Artificial Intelligence 607
Replace Michael Carbin with:
Michael Carbin United States
Saša Misailovíc United States
Calvin Lin United States
Insik Shin South Korea
Michæl Philippsen Germany
Thomas Groß Switzerland
Zachary Tatlock United States
David F. Bacon United States
Fabrizio Ferrandi Italy
Thomas Eisenbarth Germany
Todd Mytkowicz relative to Michael Carbin United States Michael Carbin's profile →
Citations per field
00.5×1.5×2.3×
Michael Carbin · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Approximate Computing: A Survey
Hit paper breakdown →
2015370
2 2009212
3 2019125
4 200794
5 201483
6 201081
7 201477
8 200866
9 202263
10
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
201559
11 201453
12 200545
13 201344
14 201341
15 200939
16 201530
17 201227
18 201421
19 202220
20 201420

About Todd Mytkowicz

Todd Mytkowicz is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Signal Processing, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (31 papers), Software Engineering Research (13 papers), Advanced Database Systems and Queries (11 papers), Software System Performance and Reliability (11 papers), Algorithms and Data Compression (11 papers), Cloud Computing and Resource Management (9 papers), Software Testing and Debugging Techniques (7 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Hardware and Architecture (751 citations), Software (231 citations), Computer Networks and Communications (677 citations), Information Systems (474 citations) and Artificial Intelligence (607 citations). Todd Mytkowicz has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Amer Diwan, Nam Sung Kim, Qiang Xu, 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, Communications of the ACM, Proceedings of the VLDB Endowment 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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