Todd Mytkowicz

2.8k total citations · 1 hit paper
70 papers, 1.9k citations indexed

About

Todd Mytkowicz is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Todd Mytkowicz has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 33 papers in Computer Networks and Communications and 32 papers in Hardware and Architecture. Recurrent topics in Todd Mytkowicz's work include Parallel Computing and Optimization Techniques (31 papers), Software Engineering Research (13 papers) and Algorithms and Data Compression (11 papers). Todd Mytkowicz is often cited by papers focused on Parallel Computing and Optimization Techniques (31 papers), Software Engineering Research (13 papers) and Algorithms and Data Compression (11 papers). Todd Mytkowicz collaborates with scholars based in United States, United Kingdom and Switzerland. Todd Mytkowicz's 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. and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computer.

In The Last Decade

Todd Mytkowicz

66 papers receiving 1.8k citations

Hit Papers

Approximate Computing: A Survey 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd Mytkowicz United States 21 751 677 607 602 474 70 1.9k
Michael Carbin United States 22 825 1.1× 611 0.9× 796 1.3× 625 1.0× 435 0.9× 61 2.0k
Gianluca Palermo Italy 24 1.3k 1.7× 867 1.3× 360 0.6× 542 0.9× 244 0.5× 136 1.8k
Saša Misailovíc United States 23 1.4k 1.8× 736 1.1× 557 0.9× 1.1k 1.9× 437 0.9× 85 2.3k
Fabrizio Ferrandi Italy 18 1.4k 1.8× 604 0.9× 193 0.3× 682 1.1× 185 0.4× 151 1.8k
Cristina Silvano Italy 28 1.8k 2.4× 1.2k 1.8× 310 0.5× 1.0k 1.7× 237 0.5× 145 2.3k
Elena Dubrova Sweden 20 515 0.7× 343 0.5× 609 1.0× 609 1.0× 161 0.3× 153 1.6k
Thomas Groß Switzerland 21 782 1.0× 1.2k 1.8× 1.1k 1.8× 252 0.4× 662 1.4× 135 2.2k
Jean‐Pierre Seifert Germany 29 1.2k 1.6× 607 0.9× 1.4k 2.2× 986 1.6× 476 1.0× 127 2.6k
Dawu Gu China 24 568 0.8× 550 0.8× 1.2k 2.0× 493 0.8× 813 1.7× 228 2.2k
Calvin Lin United States 30 1.8k 2.4× 1.7k 2.5× 947 1.6× 363 0.6× 616 1.3× 100 2.9k

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-authorship network of co-authors of Todd Mytkowicz

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Mytkowicz. A scholar is included among the top collaborators of Todd Mytkowicz 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 Todd Mytkowicz. Todd Mytkowicz 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
1.
Mytkowicz, Todd, et al.. (2022). TOGA. arXiv (Cornell University). 2130–2141. 63 indexed citations
2.
Cui, Haotian, Junjie Huang, Jeevana Priya Inala, et al.. (2022). CodeExp: Explanatory Code Document Generation. 2342–2354.
3.
H., Ed & Todd Mytkowicz. (2021). Understanding the Efficiency of Social Tagging Systems Using Information Theory. Proceedings of the International AAAI Conference on Web and Social Media. 2(1). 178–179.
4.
Sampson, Adrian, Kathryn S. McKinley, & Todd Mytkowicz. (2017). Static Stages for Heterogeneous Programming. 3 indexed citations
5.
Maleki, Saeed, Madanlal Musuvathi, & Todd Mytkowicz. (2016). Low-Rank Methods for Parallelizing Dynamic Programming Algorithms. 2(4). 1–32. 3 indexed citations
6.
Maleki, Saeed, Madanlal Musuvathi, & Todd Mytkowicz. (2016). Efficient parallelization using rank convergence in dynamic programming algorithms. Communications of the ACM. 59(10). 85–92. 10 indexed citations
7.
Raychev, Veselin, Madanlal Musuvathi, & Todd Mytkowicz. (2015). Parallelizing user-defined aggregations using symbolic execution. 153–167. 30 indexed citations
8.
Ding, Yufei, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, & Todd Mytkowicz. (2015). Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. NCSU Libraries Repository (North Carolina State University Libraries). 579–587. 59 indexed citations
9.
Bornholt, James, Todd Mytkowicz, & Kathryn S. McKinley. (2014). Uncertain< T >. ANU Open Research (Australian National University). 51–66. 83 indexed citations
10.
Mytkowicz, Todd, Madanlal Musuvathi, & Wolfram Schulte. (2014). Data-parallel finite-state machines. ACM SIGPLAN Notices. 49(4). 529–542. 5 indexed citations
11.
Maleki, Saeed, Madanlal Musuvathi, & Todd Mytkowicz. (2014). Parallelizing dynamic programming through rank convergence. 219–232. 21 indexed citations
12.
Ren, Bin, Gagan Agrawal, James R. Larus, et al.. (2013). SIMD parallelization of applications that traverse irregular data structures. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–10. 44 indexed citations
13.
Mytkowicz, Todd & Mark Marron. (2011). Single-Core Performance is Still Relevant in the Multi-Core Era. International Journal of Nanomedicine. 17. 3385–3400. 1 indexed citations
14.
Meyerovich, Leo A., Todd Mytkowicz, & Wolfram Schulte. (2011). Data Parallel Programming for Irregular Tree Computations. 3 indexed citations
15.
Mytkowicz, Todd, Amer Diwan, Matthias Hauswirth, & Peter F. Sweeney. (2009). Producing wrong data without doing anything obviously wrong!. ACM SIGPLAN Notices. 44(3). 265–276. 39 indexed citations
16.
Mytkowicz, Todd, Amer Diwan, Matthias Hauswirth, & Peter F. Sweeney. (2009). Producing wrong data without doing anything obviously wrong!. 265–276. 212 indexed citations
17.
H., Ed, Peter Pirolli, Bongwon Suh, et al.. (2008). Augmented Social Cognition.. National Conference on Artificial Intelligence. 11–17. 11 indexed citations
18.
Mytkowicz, Todd, Amer Diwan, Matthias Hauswirth, & Peter F. Sweeney. (2007). Understanding Measurement Perturbation in Trace-based Data. 1–6. 4 indexed citations
19.
Mytkowicz, Todd, Amer Diwan, Matthias Hauswirth, & Peter F. Sweeney. (2006). Aligning traces for performance evaluation. International Parallel and Distributed Processing Symposium. 291–291. 3 indexed citations
20.
Richards, Marc, et al.. (2005). Evolving cooperative strategies for UAV teams. 1721–1728. 45 indexed citations

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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