Nuno P. Lopes

44 total papers · 1.3k total citations
24 papers, 646 citations indexed

About

Nuno P. Lopes is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Nuno P. Lopes has authored 24 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 11 papers in Software. Recurrent topics in Nuno P. Lopes's work include Formal Methods in Verification (13 papers), Software Testing and Debugging Techniques (11 papers) and Logic, programming, and type systems (10 papers). Nuno P. Lopes is often cited by papers focused on Formal Methods in Verification (13 papers), Software Testing and Debugging Techniques (11 papers) and Logic, programming, and type systems (10 papers). Nuno P. Lopes collaborates with scholars based in United Kingdom, United States and Portugal. Nuno P. Lopes's co-authors include Andrey Rybalchenko, John Regehr, Corneliu Popeea, George Varghese, Nikolaj Bjørner, Santosh Nagarakatte, Patrice Godefroid, Karthick Jayaraman, Chung-Kil Hur and Juneyoung Lee and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Nuno P. Lopes

23 papers receiving 633 citations

Author Peers

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

Author Last Decade Papers Cites
Nuno P. Lopes 322 260 228 214 181 24 646
Rajeev Joshi 294 0.9× 220 0.8× 310 1.4× 209 1.0× 165 0.9× 30 671
Patrick Meredith 297 0.9× 245 0.9× 293 1.3× 174 0.8× 279 1.5× 26 674
Mandana Vaziri 276 0.9× 345 1.3× 322 1.4× 137 0.6× 337 1.9× 27 690
Eric Koskinen 302 0.9× 437 1.7× 134 0.6× 159 0.7× 250 1.4× 37 709
Laurent Mounier 258 0.8× 146 0.6× 316 1.4× 192 0.9× 89 0.5× 27 613
Michael Emmi 203 0.6× 258 1.0× 215 0.9× 124 0.6× 227 1.3× 27 557
Oliver Rüthing 317 1.0× 210 0.8× 175 0.8× 143 0.7× 417 2.3× 17 561
Cindy Rubio-González 162 0.5× 199 0.8× 239 1.0× 211 1.0× 314 1.7× 38 680
Zvonimir Rakamarić 155 0.5× 300 1.2× 218 1.0× 250 1.2× 398 2.2× 42 704
M. Blume 528 1.6× 182 0.7× 82 0.4× 148 0.7× 222 1.2× 43 699

Countries citing papers authored by Nuno P. Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Nuno P. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuno P. Lopes. 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 Nuno P. Lopes. The network helps show where Nuno P. Lopes may publish in the future.

Co-authorship network of co-authors of Nuno P. Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of Nuno P. Lopes. A scholar is included among the top collaborators of Nuno P. Lopes 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 Nuno P. Lopes. Nuno P. Lopes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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