Mark N. Wegman

11.9k total citations · 3 hit papers
47 papers, 6.8k citations indexed

About

Mark N. Wegman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Mark N. Wegman has authored 47 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 12 papers in Software. Recurrent topics in Mark N. Wegman's work include Software Testing and Debugging Techniques (11 papers), Algorithms and Data Compression (10 papers) and Software Engineering Research (9 papers). Mark N. Wegman is often cited by papers focused on Software Testing and Debugging Techniques (11 papers), Algorithms and Data Compression (10 papers) and Software Engineering Research (9 papers). Mark N. Wegman collaborates with scholars based in United States, United Kingdom and Switzerland. Mark N. Wegman's co-authors include F. Kenneth Zadeck, Barry K. Rosen, Ron K. Cytron, Jeanne Ferrante, David Chase, Mike Paterson, Bowen Alpern, Susan L. Graham, Laurence Jay Korn and Cary Queen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Mark N. Wegman

46 papers receiving 6.0k citations

Hit Papers

Efficiently computing static single assignment form and t... 1979 2026 1994 2010 1991 1979 1981 400 800 1.2k

Peers

Mark N. Wegman
Ravi Sethi United States
Niklaus Wirth Switzerland
Guy L. Steele United States
C. A. R. Hoare United Kingdom
Andrew W. Appel United States
Luca Cardelli United Kingdom
Rastislav Bodík United States
Charles J. Colbourn United States
Michael L. Fredman United States
Paul Hudak United States
Ravi Sethi United States
Mark N. Wegman
Citations per year, relative to Mark N. Wegman Mark N. Wegman (= 1×) peers Ravi Sethi

Countries citing papers authored by Mark N. Wegman

Since Specialization
Citations

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

Fields of papers citing papers by Mark N. Wegman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark N. Wegman. 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 Mark N. Wegman. The network helps show where Mark N. Wegman may publish in the future.

Co-authorship network of co-authors of Mark N. Wegman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark N. Wegman. A scholar is included among the top collaborators of Mark N. Wegman 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 Mark N. Wegman. Mark N. Wegman 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.
Lee, Sangil, Michael Gottlieb, Srikar Adhikari, et al.. (2025). Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert. Journal of the American College of Emergency Physicians Open. 6(2). 100051–100051. 1 indexed citations
2.
Wachnik, R., et al.. (2025). Analysis of Local Layout Effects in Field-Effect Transistors Using Neural Networks. IEEE Transactions on Electron Devices. 72(8). 4347–4361.
3.
Qian, Haifeng & Mark N. Wegman. (2018). L2-NONEXPANSIVE NEURAL NETWORKS. arXiv (Cornell University). 5 indexed citations
4.
Bhattacharjee, Bishwaranjan, et al.. (2017). Distributed learning of deep feature embeddings for visual recognition tasks. IBM Journal of Research and Development. 61(4/5). 4:1–4:8. 3 indexed citations
5.
Bhattacharya, Suparna, Doug Kimelman, Harold Ossher, et al.. (2013). Enterprise context. 1–7. 1 indexed citations
6.
Lastras-Montaño, L. A., Michele Franceschini, Thomas Mittelholzer, J. P. Karidis, & Mark N. Wegman. (2009). On the lifetime of multilevel memories. 63. 1224–1228. 21 indexed citations
7.
Zhu, Li‐Min, Roger Vranckx, Philippe Khau Van Kien, et al.. (2006). Mutations in myosin heavy chain 11 cause a syndrome associating thoracic aortic aneurysm/aortic dissection and patent ductus arteriosus. Nature Genetics. 38(3). 343–349. 415 indexed citations
8.
Leiba, Barry, Joel Ossher, V. T. Rajan, Richard Segal, & Mark N. Wegman. (2005). SMTP Path Analysis.. 25 indexed citations
9.
Cytron, Ron K., et al.. (1989). An efficient method of computing static single assignment form. 25–35. 314 indexed citations
10.
Santis, Alfredo De, George Markowsky, & Mark N. Wegman. (1988). Learning probabilistic prediction functions. Conference on Learning Theory. 312–328. 1 indexed citations
11.
Santis, Alfredo De, George Markowsky, & Mark N. Wegman. (1988). Learning probabilistic prediction functions. 110–119. 54 indexed citations
12.
Alpern, Bowen, et al.. (1988). Detecting equality of variables in programs. 1–11. 261 indexed citations
13.
Rosen, Barry K., et al.. (1988). Global value numbers and redundant computations. 12–27. 279 indexed citations
14.
Wegman, Mark N.. (1986). What it's like to be a POPL referee. ACM SIGACT News. 17(4). 50–51. 1 indexed citations
15.
Stockmeyer, Larry, et al.. (1985). The complexity of backtrack searches. 449–457. 7 indexed citations
16.
Wegman, Mark N., et al.. (1981). New hash functions and their use in authentication and set equality. Journal of Computer and System Sciences. 22(3). 265–279. 618 indexed citations breakdown →
17.
Wegman, Mark N., et al.. (1979). Universal classes of hash functions. Journal of Computer and System Sciences. 18(2). 143–154. 1337 indexed citations breakdown →
18.
Paterson, Mike & Mark N. Wegman. (1978). Linear unification. Journal of Computer and System Sciences. 16(2). 158–167. 136 indexed citations
19.
Korn, Laurence Jay, Cary Queen, & Mark N. Wegman. (1977). Computer analysis of nucleic acid regulatory sequences.. Proceedings of the National Academy of Sciences. 74(10). 4401–4405. 156 indexed citations
20.
Graham, Susan L. & Mark N. Wegman. (1975). A fast and usually linear algorithm for global flow analysis. 22–34. 15 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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