Panagiotis Manolios

3.2k total citations
57 papers, 1.0k citations indexed

About

Panagiotis Manolios is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Panagiotis Manolios has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 34 papers in Computational Theory and Mathematics and 30 papers in Software. Recurrent topics in Panagiotis Manolios's work include Logic, programming, and type systems (32 papers), Formal Methods in Verification (30 papers) and Software Testing and Debugging Techniques (23 papers). Panagiotis Manolios is often cited by papers focused on Logic, programming, and type systems (32 papers), Formal Methods in Verification (30 papers) and Software Testing and Debugging Techniques (23 papers). Panagiotis Manolios collaborates with scholars based in United States, Mexico and Russia. Panagiotis Manolios's co-authors include J Strother Moore, Matt Kaufmann, Alessandro Orso, William G. J. Halfond, Sudarshan K. Srinivasan, Daron Vroon, Peter C. Dillinger, Richard Trefler, G. Mani Subramanian and Abha Moitra and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Neural Computation.

In The Last Decade

Panagiotis Manolios

52 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panagiotis Manolios United States 15 715 456 330 307 181 57 1.0k
Byron Cook United Kingdom 18 905 1.3× 767 1.7× 193 0.6× 532 1.7× 276 1.5× 60 1.3k
Sagar Chaki United States 17 580 0.8× 424 0.9× 381 1.2× 465 1.5× 188 1.0× 69 1.2k
Ofer Strichman Israel 16 415 0.6× 486 1.1× 198 0.6× 468 1.5× 137 0.8× 59 850
Andrey Rybalchenko Germany 22 1.0k 1.5× 980 2.1× 238 0.7× 666 2.2× 216 1.2× 62 1.5k
Wolfgang Grieskamp United States 14 247 0.3× 249 0.5× 461 1.4× 890 2.9× 106 0.6× 45 1.0k
Flavio Lerda United States 6 311 0.4× 450 1.0× 216 0.7× 628 2.0× 151 0.8× 13 885
Adam Chlipala United States 23 1.2k 1.7× 590 1.3× 329 1.0× 258 0.8× 388 2.1× 77 1.6k
Rajeev Joshi United States 16 294 0.4× 210 0.5× 183 0.6× 310 1.0× 166 0.9× 30 672
Michael Norrish Australia 14 1.4k 2.0× 494 1.1× 350 1.1× 274 0.9× 523 2.9× 56 1.8k
Nina Yevtushenko Russia 13 200 0.3× 332 0.7× 120 0.4× 555 1.8× 263 1.5× 107 775

Countries citing papers authored by Panagiotis Manolios

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Manolios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Manolios

This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Manolios. A scholar is included among the top collaborators of Panagiotis Manolios 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 Panagiotis Manolios. Panagiotis Manolios 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.
Hippel, Max von, et al.. (2023). Verification of GossipSub in ACL2s. Electronic Proceedings in Theoretical Computer Science. 393. 113–132.
2.
Manolios, Panagiotis, et al.. (2023). Automated Grading of Automata with ACL2s. Electronic Proceedings in Theoretical Computer Science. 375. 77–91. 1 indexed citations
3.
Moitra, Abha, et al.. (2018). Towards Development of Complete and Conflict-Free Requirements. 286–296. 15 indexed citations
4.
Manolios, Panagiotis, et al.. (2018). Rank polymorphism viewed as a constraint problem. 34–41. 1 indexed citations
5.
Manolios, Panagiotis, et al.. (2013). Quantifier elimination via clause redundancy. 223. 85–92. 2 indexed citations
6.
Manolios, Panagiotis, et al.. (2009). Faster SAT solving with better CNF generation. Design, Automation, and Test in Europe. 1590–1595. 6 indexed citations
7.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2008). Automatic verification of safety and liveness for pipelined machines using WEB refinement. ACM Transactions on Design Automation of Electronic Systems. 13(3). 1–19. 6 indexed citations
8.
Kaufmann, Matt, et al.. (2007). Efficient execution in an automated reasoning environment. Journal of Functional Programming. 18(1). 15–46. 15 indexed citations
9.
Dillinger, Peter C., Panagiotis Manolios, Daron Vroon, & J Strother Moore. (2007). ACL2s: “The ACL2 Sedan”. Electronic Notes in Theoretical Computer Science. 174(2). 3–18. 14 indexed citations
10.
Manolios, Panagiotis, et al.. (2006). Proceedings of the sixth international workshop on the ACL2 theorem prover and its applications. Meeting of the Association for Computational Linguistics. 1 indexed citations
11.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2006). A Framework for Verifying Bit-Level Pipelined Machines Based on Automated Deduction and Decision Procedures. Journal of Automated Reasoning. 37(1-2). 93–116. 9 indexed citations
12.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2005). A computationally ef~cient method based on commitment re~nement maps for verifying pipelined machines.. 1427. 188–197. 9 indexed citations
13.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2005). A complete compositional reasoning framework for the efficient verification of pipelined machines. 863–870. 11 indexed citations
14.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2004). Automatic verification of safety and liveness for XScale-like processor models using WEB refinements. Design, Automation, and Test in Europe. 1. 10168. 18 indexed citations
15.
Manolios, Panagiotis & Sudarshan K. Srinivasan. (2004). Automatic verification of safety and liveness for XScale-like processor models using WEB refinements. Proceedings Design, Automation and Test in Europe Conference and Exhibition. 168–173. 10 indexed citations
16.
Manolios, Panagiotis & Daron Vroon. (2003). Ordinal Arithmetic in ACL2. 3 indexed citations
17.
Manolios, Panagiotis & J Strother Moore. (2003). Partial Functions in ACL2. Journal of Automated Reasoning. 31(2). 107–127. 28 indexed citations
18.
Manolios, Panagiotis. (2001). Mechanical verification of reactive systems. Texas ScholarWorks (Texas Digital Library). 53 indexed citations
19.
Kaufmann, Matt, Panagiotis Manolios, & J Strother Moore. (2000). Computer-aided reasoning : ACL2 case studies. Kluwer Academic eBooks. 88 indexed citations
20.
Manolios, Panagiotis, et al.. (1994). First-Order Recurrent Neural Networks and Deterministic Finite State Automata. Neural Computation. 6(6). 1155–1173. 40 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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