Pedro R. D’Argenio
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Software top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Tamara RezkGilles BartheFrits VaandragerJan SpringintveldJoost-Pieter KatoenHolger HermannsEd BrinksmaPeter Niebert
- Topics
- Formal Methods in Verification (33 papers)Petri Nets in System Modeling (11 papers)Logic, programming, and type systems (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Software EngineeringTheoretical Computer Science
- Partner nations
- ArgentinaNetherlandsGermany
In The Last Decade
Pedro R. D’Argenio
43 papers receiving 669 citations
Peers
Comparison fields: 5 of 36
- Computational Theory and Mathematics 443
- Artificial Intelligence 389
- Software 244
- Signal Processing 144
- Computer Networks and Communications 136
Countries citing papers authored by Pedro R. D’Argenio
This map shows the geographic impact of Pedro R. D’Argenio'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 Pedro R. D’Argenio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro R. D’Argenio more than expected).
Fields of papers citing papers by Pedro R. D’Argenio
This network shows the impact of papers produced by Pedro R. D’Argenio. 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 Pedro R. D’Argenio. The network helps show where Pedro R. D’Argenio may publish in the future.
Co-authorship network of co-authors of Pedro R. D’Argenio
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro R. D’Argenio. A scholar is included among the top collaborators of Pedro R. D’Argenio 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 Pedro R. D’Argenio. Pedro R. D’Argenio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | 56 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | A COMPOSITIONAL MERGE OF PROBABILISTIC PROCESSES IN THE ALTERNATING MODEL | 1 |
| 11 | 18 | |
| 12 | 28 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 66 | |
| 17 | 147 | |
| 18 | An algebraic approach to the specification of stochastic systems | 20 |
| 19 | A Stochastic Automata Model and its Algebraic Approach | 9 |
| 20 | 11 |
About Pedro R. D’Argenio
Pedro R. D’Argenio is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 46 papers that have together received 709 indexed citations. Recurring topics across this work include Formal Methods in Verification (33 papers), Petri Nets in System Modeling (11 papers) and Logic, programming, and type systems (8 papers). The work is most often cited by research in Software (244 citations), Computational Theory and Mathematics (443 citations) and Hardware and Architecture (117 citations). Pedro R. D’Argenio has collaborated with scholars based in Argentina, Netherlands and Germany. Frequent co-authors include Tamara Rezk, Gilles Barthe, Frits Vaandrager, Jan Springintveld, Joost-Pieter Katoen, Holger Hermanns, Ed Brinksma, Peter Niebert, Hernán Melgratti and Sean Sedwards. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Theoretical Computer Science.
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.