Matthew Might

4.4k total citations
80 papers, 1.0k citations indexed

About

Matthew Might is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Matthew Might has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 35 papers in Computational Theory and Mathematics and 19 papers in Hardware and Architecture. Recurrent topics in Matthew Might's work include Logic, programming, and type systems (40 papers), Formal Methods in Verification (33 papers) and Parallel Computing and Optimization Techniques (19 papers). Matthew Might is often cited by papers focused on Logic, programming, and type systems (40 papers), Formal Methods in Verification (33 papers) and Parallel Computing and Optimization Techniques (19 papers). Matthew Might collaborates with scholars based in United States, Denmark and Belgium. Matthew Might's co-authors include David Van Horn, Olin Shivers, Andrew B. Crouse, Tiffany Grimes, Peng Li, Fernando Ovalle, Anath Shalev, Yannis Smaragdakis, Mary Hall and S. Ramalingam and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Matthew Might

74 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Might United States 19 398 211 211 184 167 80 1.0k
Mark Marron United States 13 291 0.7× 77 0.4× 25 0.1× 108 0.6× 171 1.0× 30 848
Benjamin J. Keller United States 13 192 0.5× 176 0.8× 30 0.1× 11 0.1× 263 1.6× 24 916
Óscar Garnica Spain 19 158 0.4× 452 2.1× 85 0.4× 43 0.2× 7 0.0× 91 1.2k
Andrea Visconti Italy 19 149 0.4× 248 1.2× 27 0.1× 12 0.1× 6 0.0× 62 1.3k
Stefan Krüger Germany 13 143 0.4× 89 0.4× 16 0.1× 4 0.0× 106 0.6× 34 939
Kim S. Larsen Denmark 16 139 0.3× 77 0.4× 94 0.4× 18 0.1× 5 0.0× 111 1.1k
Stefanos Manganaris United States 7 214 0.5× 55 0.3× 76 0.4× 15 0.1× 7 0.0× 11 449
C. Westland United States 11 95 0.2× 70 0.3× 13 0.1× 15 0.1× 266 1.6× 24 1.1k

Countries citing papers authored by Matthew Might

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Might

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Might

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Might. A scholar is included among the top collaborators of Matthew Might 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 Matthew Might. Matthew Might 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.
Shyr, Zeenat A., et al.. (2025). Increased oxidative stress and autophagy in NGLY1 patient iPSC-derived neural stem cells. Experimental Cell Research. 448(1). 114540–114540.
2.
Devarajan, Asokan, Xiaosen Ouyang, Jianhua Zhang, et al.. (2025). Reductive stress induces unresolved ER stress and proteotoxic cardiomyopathy. Redox Biology. 86. 103713–103713.
3.
Devarajan, Asokan, Brian K. Dalley, Vivek Nanda, et al.. (2024). Exercise mitigates reductive stress-induced cardiac remodeling in mice. Redox Biology. 75. 103263–103263. 4 indexed citations
4.
Lu, Brian, Peng Li, Andrew B. Crouse, et al.. (2024). Data-driven Cluster Analysis Reveals Increased Risk for Severe Insulin-deficient Diabetes in Black/African Americans. The Journal of Clinical Endocrinology & Metabolism. 110(2). 387–395. 1 indexed citations
5.
Patton, Michael J., D. Benson, Sarah W. Robison, et al.. (2024). Characteristics and determinants of pulmonary long COVID. JCI Insight. 9(10). 7 indexed citations
6.
Patton, Michael J., Carlos J. Orihuela, Kevin S. Harrod, et al.. (2023). COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation. Critical Care. 27(1). 34–34. 50 indexed citations
7.
Tambe, Mitali A., Ha Nam Nguyen, Miao Xu, et al.. (2023). Generation and characterization of NGLY1 patient-derived midbrain organoids. Frontiers in Cell and Developmental Biology. 11. 1039182–1039182. 12 indexed citations
8.
Yu, Timothy W., Stephen F. Kingsmore, Robert C. Green, et al.. (2023). Are we prepared to deliver gene‐targeted therapies for rare diseases?. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(1). 7–12. 9 indexed citations
9.
Crowder, Camerron M., Andrew B. Crouse, William E. Byrd, et al.. (2022). The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren. Frontiers in Artificial Intelligence. 5. 910216–910216. 20 indexed citations
10.
Crouse, Andrew B., Tiffany Grimes, Peng Li, et al.. (2021). Metformin Use Is Associated With Reduced Mortality in a Diverse Population With COVID-19 and Diabetes. Frontiers in Endocrinology. 11. 118 indexed citations
11.
Queralt-Rosiñach, Núria, Gregory S. Stupp, Maureen E. Hoatlin, et al.. (2020). Structured reviews for data and knowledge-driven research. Database. 2020. 5 indexed citations
12.
Bhaskara, Aditya, et al.. (2020). A graph-based algorithm for RNA-seq data normalization. PLoS ONE. 15(1). e0227760–e0227760. 3 indexed citations
13.
Li, Rong, Kirill Gorshkov, Kevin G. Chen, et al.. (2019). Induced pluripotent stem cells for neural drug discovery. Drug Discovery Today. 24(4). 992–999. 61 indexed citations
14.
Zhang, Lisa, Ethan Fetaya, Renjie Liao, et al.. (2018). Neural Guided Constraint Logic Programming for Program Synthesis. arXiv (Cornell University). 31. 1737–1746. 3 indexed citations
15.
Li, Rong, Manisha Pradhan, Miao Xu, et al.. (2018). Generation of an induced pluripotent stem cell line (TRNDi002-B) from a patient carrying compound heterozygous p.Q208X and p.G310G mutations in the NGLY1 gene. Stem Cell Research. 34. 101362–101362. 6 indexed citations
16.
Byrd, William E., et al.. (2015). Control-flow analysis of dynamic languages via pointer analysis. 54–62. 1 indexed citations
17.
Might, Matthew, et al.. (2014). Fast Flow Analysis with Godel Hashes. 225–234. 5 indexed citations
18.
Might, Matthew, Yannis Smaragdakis, & David Van Horn. (2010). Resolving and exploiting the k -CFA paradox. 305–315. 47 indexed citations
19.
Might, Matthew, et al.. (2007). Model Checking Via GammaCFA.. 37(9). 59–73. 2 indexed citations
20.
Might, Matthew & Olin Shivers. (2006). Analyzing the environment structure of higher-order languages using frame strings. Theoretical Computer Science. 375(1-3). 137–168. 7 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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