Roberto M. Amadio

30 papers receiving 684 citations

Peers

Roberto M. Amadio
Comparison fields: 5 of 36
  • Artificial Intelligence 682
  • Computational Theory and Mathematics 438
  • Computer Networks and Communications 230
  • Information Systems 135
  • Hardware and Architecture 71
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Countries citing papers authored by Roberto M. Amadio

Since Specialization
Citations

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

Fields of papers citing papers by Roberto M. Amadio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto M. Amadio. 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 Roberto M. Amadio. The network helps show where Roberto M. Amadio may publish in the future.

Co-authorship network of co-authors of Roberto M. Amadio

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto M. Amadio. A scholar is included among the top collaborators of Roberto M. Amadio 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 Roberto M. Amadio. Roberto M. Amadio 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
#WorkIndexed citations
1 1
2
Domains and Lambda-Calculi (Cambridge Tracts in Theoretical Computer Science)
11
3
From a Concurrent lambda-calculus to the pi-calculus
1
4 4
5 2
6 19
7
On decidability of the control reachability problem in the asynchronous π-calculus
11
8
On Name Generation and Set-Based Analysis in Dolev-Yao Model
3
9 42
10 3
11 18
12
The Receptive Distributed pi-Calculus (Extended Abstract)
6
13 125
14 1
15
Localities and Failures (Extended Abstract)
18
16
Selected domains and lambda calculi
2
17
Subtyping Recursive Types
0
18 41
19
A fixed point extension of the second order lambda-calculus: observable equivalences and models
3
20
The Finitary Projection Model for Second Order Lambda Calculus and Solutions to Higher Order Domain Equations
32

About Roberto M. Amadio

Roberto M. Amadio is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Artificial Intelligence, having authored 31 papers that have together received 773 indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Formal Methods in Verification (7 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Computational Theory and Mathematics (438 citations), Artificial Intelligence (682 citations) and Software (46 citations). Roberto M. Amadio has collaborated with scholars based in France, United Kingdom and Burundi. Frequent co-authors include Luca Cardelli, Pierre-Louis Curien, Ilaria Castellani, Davide Sangiorgi, Denis Lugiez, G. Longo, Kim B. Bruce, Silvano Dal Zilio, Sanjiva Prasad and Gérard Boudol. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Theoretical Computer Science and ACM Transactions on Programming Languages and Systems.

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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