Adolfo Piperno

20 papers receiving 811 citations

Hit Papers

Practical graph isomorphism, II20132026201720212013200400600

Peers

Adolfo Piperno
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 360
  • Artificial Intelligence 318
  • Computer Vision and Pattern Recognition 150
  • Computer Networks and Communications 127
  • Electrical and Electronic Engineering 118
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Citations per year

Countries citing papers authored by Adolfo Piperno

Since Specialization
Citations

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

Fields of papers citing papers by Adolfo Piperno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adolfo Piperno

This figure shows the co-authorship network connecting the top 25 collaborators of Adolfo Piperno. A scholar is included among the top collaborators of Adolfo Piperno 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 Adolfo Piperno. Adolfo Piperno 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
Practical graph isomorphism, IIbreakdown →
682
2
Metatypical carcinoma of the head: a review of 312 cases.
4
3
Prognostic significance of tyrosinase expression in sentinel lymph node biopsy for ultra-thin, thin, and thick melanomas.
7
4
Bohm's Theorem
0
5
Search Space Contraction in Canonical Labeling of Graphs (Preliminary Version)
10
6 5
7 1
8 0
9 2
10 2
11 8
12 30
13 8
14 23
15
Lambda-Definition of Function(al)s by Normal Forms
4
16
Fully Abstract Semantics for Concurrent Lambda-calculus
6
17
Must Preorder in Non-Deterministic Untyped Lambda-Calculus
5
18 49
19 5
20 3

About Adolfo Piperno

Adolfo Piperno is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 23 papers that have together received 861 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (10 papers) and Formal Methods in Verification (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (76 citations), Computational Theory and Mathematics (360 citations) and Computer Graphics and Computer-Aided Design (65 citations). Adolfo Piperno has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Brendan D. McKay, Ugo de’Liguoro, Pierluigi Crescenzi, Giuseppe Di Battista, Mariangiola Dezani-Ciancaglini, Paolo Penna, Ivano Salvo, Enrico Tronci, Emanuele Cigna and N. Scuderi. Their work appears in journals such as SHILAP Revista de lepidopterología, SIAM Journal on Computing 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.

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