Nancy Lynch

25.8k total citations · 3 hit papers
269 papers, 11.2k citations indexed

About

Nancy Lynch is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Nancy Lynch has authored 269 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Computer Networks and Communications, 108 papers in Computational Theory and Mathematics and 56 papers in Artificial Intelligence. Recurrent topics in Nancy Lynch's work include Distributed systems and fault tolerance (129 papers), Formal Methods in Verification (59 papers) and Petri Nets in System Modeling (42 papers). Nancy Lynch is often cited by papers focused on Distributed systems and fault tolerance (129 papers), Formal Methods in Verification (59 papers) and Petri Nets in System Modeling (42 papers). Nancy Lynch collaborates with scholars based in United States, Israel and Canada. Nancy Lynch's co-authors include Michael J. Fischer, Michael S. Paterson, Seth Gilbert, Cynthia Dwork, Larry Stockmeyer, Frits Vaandrager, Mark R. Tuttle, Richard E. Ladner, Michael Merritt and Jennifer L. Welch and has published in prestigious journals such as Nature Communications, Nano Letters and Proceedings of the IEEE.

In The Last Decade

Nancy Lynch

253 papers receiving 10.0k citations

Hit Papers

Impossibility of distribu... 1985 2026 1998 2012 1985 1988 2002 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nancy Lynch 8.7k 3.0k 2.6k 2.1k 1.8k 269 11.2k
Fred B. Schneider 5.3k 0.6× 1.4k 0.5× 3.2k 1.2× 1.7k 0.8× 1.9k 1.0× 154 8.0k
Barbara Liskov 9.5k 1.1× 1.2k 0.4× 5.7k 2.2× 2.4k 1.1× 5.6k 3.1× 187 13.9k
Danny Dolev 8.4k 1.0× 1.4k 0.4× 3.9k 1.5× 1.3k 0.6× 3.4k 1.9× 200 10.4k
Robert E. Shostak 4.2k 0.5× 813 0.3× 1.8k 0.7× 833 0.4× 1.5k 0.8× 21 5.5k
Edsger W. Dijkstra 3.7k 0.4× 3.1k 1.0× 4.6k 1.7× 2.2k 1.0× 2.0k 1.1× 67 9.1k
Abraham Silberschatz 5.1k 0.6× 824 0.3× 1.8k 0.7× 1.2k 0.6× 2.0k 1.1× 162 7.0k
Guy L. Steele 3.4k 0.4× 1.9k 0.6× 4.9k 1.9× 3.5k 1.7× 1.9k 1.0× 131 8.5k
David Walker 6.7k 0.8× 882 0.3× 3.1k 1.2× 1.6k 0.8× 1.8k 1.0× 149 8.9k
James R. Larus 6.0k 0.7× 616 0.2× 2.3k 0.9× 5.8k 2.8× 2.5k 1.4× 188 9.3k
Maurice Herlihy 11.3k 1.3× 1.1k 0.4× 2.0k 0.8× 6.7k 3.2× 1.3k 0.7× 244 12.3k

Countries citing papers authored by Nancy Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Lynch. A scholar is included among the top collaborators of Nancy Lynch 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 Nancy Lynch. Nancy Lynch 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.
Lynch, Nancy, et al.. (2026). An Introduction to Input/Output Automata. Formal Aspects of Computing. 2(3). 219–246.
2.
Lynch, Nancy, et al.. (2020). Random Sketching, Clustering, and Short-Term Memory in Spiking Neural Networks.. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 31. 1 indexed citations
3.
Canetti, Ran, Ling Cheung, Moses Liskov, et al.. (2017). Task-structured probabilistic I/O automata. Journal of Computer and System Sciences. 94. 63–97. 2 indexed citations
4.
Dornhaus, Anna, et al.. (2017). Costs of task allocation with local feedback: Effects of colony size and extra workers in social insects and other multi-agent systems. PLoS Computational Biology. 13(12). e1005904–e1005904. 1 indexed citations
5.
Konwar, Kishori M., N. Prakash, Nancy Lynch, & Muriel Médard. (2017). RADON: Repairable Atomic Data Object in Networks. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 70. 17. 2 indexed citations
6.
Welch, Jennifer L., Leslie Lamport, & Nancy Lynch. (2016). A Lattice-Structured Proof of a Minimum Spanning Tree Algorithm.
7.
Kaynar, Dilsun, Nancy Lynch, Roberto Segala, & Frits Vaandrager. (2010). \nThe Theory of Timed I/O Automata, Second Edition. Radboud Repository (Radboud University). 7 indexed citations
8.
Lynch, Nancy & Alexander A. Shvartsman. (2010). Distributed computing : 24th International Symposium, DISC 2010, Cambridge, MA, USA, September 13-15, 2010 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
9.
Canetti, Ran, Ling Cheung, Nancy Lynch, & Olivier Pereira. (2007). On the Role of Scheduling in Simulation-Based Security. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2007. 102. 5 indexed citations
10.
Canetti, Ran, Ling Cheung, Dilsun Kaynar, et al.. (2005). Using Probabilistic I/O Automata to improve the analysis of cryptographic protocols. DIAL (Catholic University of Leuven). 63. 40–41. 1 indexed citations
11.
Mitra, Sayan, Wang Yong, Nancy Lynch, & Éric Féron. (2003). Safety verification of model helicopter controller using hybrid input/output automata. Lecture notes in computer science. 2623. 343–358. 8 indexed citations
12.
Garland, Stephen J. & Nancy Lynch. (2000). Using I/O automata for developing distributed systems. Cambridge University Press eBooks. 285–312. 39 indexed citations
13.
Bar‐Joseph, Ziv, Idit Keidar, Tal Anker, & Nancy Lynch. (2000). Totally Ordered Multicast with Bounded Delays and Variable Rates.. 143–162. 2 indexed citations
14.
Luchangco, Victor, et al.. (1994). Verifying timing properties of concurrent algorithms.. 259–273. 5 indexed citations
15.
Lynch, Nancy, Michael Merritt, & Ronald R. Yager. (1993). Atomic Transactions: In Concurrent and Distributed Systems. Morgan Kaufmann Publishers Inc. eBooks. 11 indexed citations
16.
Lampson, Butler, et al.. (1993). Correctness of At-Most-Once Message Delivery Protocols. 385–400. 13 indexed citations
17.
Aspnes, James, Alan Fekete, Nancy Lynch, Michael Merritt, & William E. Weihl. (1988). A Theory of Timestamp-Based Concurrency Control for Nested Transactions. Very Large Data Bases. 431–444. 12 indexed citations
18.
Fekete, Alan, Nancy Lynch, & Liuba Shrira. (1987). A Modular Proof of Correctness for a Network Synchronizer (Research Summary). 219–256. 4 indexed citations
19.
Fischer, Michael J., Nancy Lynch, & Michael S. Paterson. (1983). Impossibility of distributed consensus with one faulty process. 1–1. 89 indexed citations
20.
Johnson, David S., Michael L. Fredman, Richard M. Karp, et al.. (1983). Proceedings of the fifteenth annual ACM symposium on Theory of computing. 39 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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