Clark Barrett

10.2k total citations · 1 hit paper
76 papers, 1.1k citations indexed

About

Clark Barrett is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Clark Barrett has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 43 papers in Computational Theory and Mathematics and 19 papers in Software. Recurrent topics in Clark Barrett's work include Formal Methods in Verification (43 papers), Logic, programming, and type systems (30 papers) and Software Testing and Debugging Techniques (15 papers). Clark Barrett is often cited by papers focused on Formal Methods in Verification (43 papers), Logic, programming, and type systems (30 papers) and Software Testing and Debugging Techniques (15 papers). Clark Barrett collaborates with scholars based in United States, Israel and France. Clark Barrett's co-authors include Aaron Stump, Cesare Tinelli, David L. Dill, Jeremy Levitt, Guy Katz, Morgan Deters, Leonardo de Moura, Mykel J. Kochenderfer, Benjamin Goldberg and Kyle D. Julian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Clark Barrett

67 papers receiving 1.0k citations

Hit Papers

The SMT-LIB Standard Version 2.0 2010 2026 2015 2020 2010 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The SMT-LIB Standard Version 2.0
    2010 335 citations Clark Barrett, Cesare Tinelli et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clark Barrett United States 17 705 580 409 215 184 76 1.1k
Cesare Tinelli United States 17 872 1.2× 784 1.4× 447 1.1× 156 0.7× 216 1.2× 73 1.3k
Helmut Veith Austria 19 802 1.1× 865 1.5× 547 1.3× 175 0.8× 384 2.1× 60 1.6k
Natarajan Shankar United States 20 732 1.0× 768 1.3× 379 0.9× 376 1.7× 217 1.2× 53 1.3k
Shengchao Qin United Kingdom 17 443 0.6× 337 0.6× 314 0.8× 195 0.9× 194 1.1× 97 909
Bernd Fischer United Kingdom 15 323 0.5× 420 0.7× 526 1.3× 181 0.8× 128 0.7× 93 930
Nikolaj Bjørner United States 21 779 1.1× 604 1.0× 511 1.2× 214 1.0× 664 3.6× 82 1.6k
Rahul Sharma United States 19 631 0.9× 285 0.5× 399 1.0× 376 1.7× 223 1.2× 59 1.2k
Christian Schallhart United Kingdom 13 547 0.8× 469 0.8× 393 1.0× 143 0.7× 313 1.7× 38 1.1k
Franjo Ivančić United States 18 309 0.4× 570 1.0× 451 1.1× 274 1.3× 164 0.9× 53 1.0k
Guillaume Brat United States 13 533 0.8× 651 1.1× 978 2.4× 238 1.1× 261 1.4× 46 1.5k

Countries citing papers authored by Clark Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Clark Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clark Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Clark Barrett. A scholar is included among the top collaborators of Clark Barrett 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 Clark Barrett. Clark Barrett 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.
Pei, Huang, et al.. (2024). Towards Efficient Verification of Quantized Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21152–21160. 8 indexed citations
2.
Wu, Haoze, et al.. (2024). Safe and Reliable Training of Learning-Based Aerospace Controllers. 1–10. 1 indexed citations
3.
Abate, Alessandro, Haniel Barbosa, Clark Barrett, et al.. (2023). Synthesising Programs with Non-trivial Constants. Journal of Automated Reasoning. 67(2). 19–19.
4.
Sheng, Ying, Yoni Zohar, Christophe Ringeissen, et al.. (2023). Combining Stable Infiniteness and (Strong) Politeness. Journal of Automated Reasoning. 67(4).
5.
Sheng, Ying, Andres Nötzli, Andrew G. Reynolds, et al.. (2023). Reasoning About Vectors: Satisfiability Modulo a Theory of Sequences. Journal of Automated Reasoning. 67(3). 2 indexed citations
6.
Barrett, Clark, et al.. (2023). Tighter Abstract Queries in Neural Network Verification. EPiC series in computing. 94. 124–103. 2 indexed citations
7.
Wu, Haoze, Clark Barrett, Mahmood Sharif, Nina Narodytska, & Gagandeep Singh. (2022). Scalable verification of GNN-based job schedulers. Proceedings of the ACM on Programming Languages. 6(OOPSLA2). 1036–1065. 4 indexed citations
8.
Julian, Kyle D., et al.. (2020). Towards Verification of Neural Networks for Small Unmanned Aircraft Collision Avoidance. 1–10. 4 indexed citations
9.
Liu, Changliu, et al.. (2020). Algorithms for Verifying Deep Neural Networks. CERN Document Server (European Organization for Nuclear Research). 4(3-4). 244–404. 16 indexed citations
10.
Bansal, Kshitij, Clark Barrett, Andrew Reynolds, & Cesare Tinelli. (2018). Reasoning with Finite Sets and Cardinality Constraints in SMT. SHILAP Revista de lepidopterología. 3 indexed citations
11.
Mitra, Subhasish, et al.. (2018). Symbolic quick error detection using symbolic initial state for pre-silicon verification. 55–60. 9 indexed citations
12.
Reynolds, Andrew, Viktor Kunčak, Cesare Tinelli, Clark Barrett, & Morgan Deters. (2017). Refutation-based synthesis in SMT. Formal Methods in System Design. 55(2). 73–102. 12 indexed citations
13.
Liang, Tianyi, Andrew Reynolds, Nestan Tsiskaridze, et al.. (2016). An efficient SMT solver for string constraints. Formal Methods in System Design. 48(3). 206–234. 21 indexed citations
14.
Lin, David C., Eshan Singh, Clark Barrett, & Subhasish Mitra. (2015). A structured approach to post-silicon validation and debug using symbolic quick error detection. 1–10. 12 indexed citations
15.
King, Tim L., Clark Barrett, & Cesare Tinelli. (2014). Leveraging Linear and Mixed Integer Programming for SMT. 139–146. 4 indexed citations
16.
King, Tim L., Clark Barrett, & Cesare Tinelli. (2014). Leveraging linear and mixed integer programming for SMT. 139–146. 4 indexed citations
17.
Barrett, Clark, et al.. (2007). An Abstract Decision Procedure for a Theory of Inductive Data Types. 3(1-2). 21–46. 15 indexed citations
18.
Barrett, Clark, et al.. (2007). An Abstract Decision Procedure for Satisfiability in the Theory of Recursive Data Types. Electronic Notes in Theoretical Computer Science. 174(8). 23–37. 15 indexed citations
19.
Jones, Robert B., John O’Leary, Tom Melham, et al.. (2005). An industrially effective environment for formal hardware verification. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 24(9). 1381–1405. 39 indexed citations
20.
Hu, Ying, Clark Barrett, & Benjamin Goldberg. (2004). Theory and algorithms for the generation and validation of speculative loop optimizations. 281–289. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Cesare Tinelli Breakdown of academic impact, for papers by Helmut Veith Breakdown of academic impact, for papers by Natarajan Shankar Breakdown of academic impact, for papers by Shengchao Qin Breakdown of academic impact, for papers by Bernd Fischer Breakdown of academic impact, for papers by Nikolaj Bjørner Breakdown of academic impact, for papers by Rahul Sharma Breakdown of academic impact, for papers by Christian Schallhart Breakdown of academic impact, for papers by Franjo Ivančić Breakdown of academic impact, for papers by Guillaume Brat
Rankless by CCL
2026