Daniele Gorla

968 citations
39 papers · 263 · h-index 10

Impact in

Papers in

Daniele Gorla

33 papers receiving 249 citations

Peers

Daniele Gorla
Comparison fields: 5 of 26
  • Computational Theory and Mathematics 116
  • Artificial Intelligence 205
  • Computer Networks and Communications 116
  • Software 15
  • Information Systems 59
Replace Nils Gesbert with:
Nils Gesbert France
Pierre-Malo Deniélou United Kingdom
Jesper Bengtson Sweden
Uwe Nestmann Germany
Björn Victor Sweden
Yow-Jian Lin United States
Frank Valencia France
Julian Rathke United Kingdom
Patrik Simons Germany
Rumyana Neykova United Kingdom
Daniele Gorla relative to Nils Gesbert France Nils Gesbert's profile →
Citations per field
00.5×
Nils Gesbert · 1×
Citations per year

Countries citing papers authored by Daniele Gorla

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Gorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniele Gorla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniele Gorla Line = papers co-authored together Daniele Gorla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201058
2 201422
3 200618
4 200817
5 200715
6 202011
7 20149
8 20099
9 20059
10 20109
11 20098
12 20047
13 20057
14 20097
15 20057
16 20066
17 20025
18 20145
19 20064
20 20064

About Daniele Gorla

Daniele Gorla is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Sociology and Political Science and Information Systems, having authored 39 papers that have together received 263 indexed citations. Recurring topics across this work include Logic, programming, and type systems (22 papers), Distributed systems and fault tolerance (13 papers), Formal Methods in Verification (13 papers), Security and Verification in Computing (10 papers), Logic, Reasoning, and Knowledge (6 papers), Access Control and Trust (4 papers), semigroups and automata theory (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (116 citations), Artificial Intelligence (205 citations), Computer Networks and Communications (116 citations), Software (15 citations) and Information Systems (59 citations). Daniele Gorla has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Rosario Pugliese, Rocco De Nicola, Uwe Nestmann, Vladimiro Sassone, Matthew Hennessy, Michele Boreale, David Clark, Chiara Braghin, Paolo Baldan and Héctor D. Menéndez. Their work appears in journals such as Mathematical Structures in Computer Science, Science of Computer Programming, Information and Computation, Logical Methods in Computer Science 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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