Mario Verdicchio

2.0k citations
29 papers · 1.1k indexed · h-index 16

Mario Verdicchio

27 papers receiving 1.0k citations

Peers

Mario Verdicchio
Comparison fields: 5 of 94
  • Health Informatics 65
  • Safety Research 168
  • Critical Care and Intensive Care Medicine 61
  • Artificial Intelligence 346
  • Computer Science Applications 50
Replace Alexandra Chouldechova with:
Alexandra Chouldechova United States
Franck Dernoncourt United States
Robert Lindsey United States
Harini Suresh United States
Indra Joshi United Kingdom
Michael Boniface United Kingdom
Laia Subirats Spain
Jordan Richard Schoenherr Canada
Markel Vigo United Kingdom
Jarmo Reponen Finland
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Citations per field
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Alexandra Chouldechova · 1×
Citations per year

Countries citing papers authored by Mario Verdicchio

Since Specialization
Citations

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

Fields of papers citing papers by Mario Verdicchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mario Verdicchio, 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 Mario Verdicchio Line = papers co-authored together Mario Verdicchio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202417
2 20239
3 202230
4 20199
5 2017186
6 20152
7 201311
8 201017
9 201034
10
PrimeLife Policy Language
201027
11 2009290
12 20094
13 200883
14 200739
15 20065
16 20032
17 200338
18
Model Checking the Secure Electronic Transaction Protocol
20031
19 200229
20 200141

About Mario Verdicchio

Mario Verdicchio is a scholar working on Health Informatics, Safety Research and Artificial Intelligence, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (10 papers), Ethics and Social Impacts of AI (8 papers), Logic, Reasoning, and Knowledge (7 papers), Access Control and Trust (6 papers), Semantic Web and Ontologies (6 papers), Psychology of Moral and Emotional Judgment (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Health Informatics (65 citations), Safety Research (168 citations) and Critical Care and Intensive Care Medicine (61 citations). Mario Verdicchio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Deborah G. Johnson, Marco Colombetti, Britt‐Marie Ekman‐Joelsson, Kenneth Sandberg, Margareta Wennergren, Mats Mellander, Jan Sunnegårdh, Anneli Ågren, Claudio A. Ardagna and Pierangela Samarati. Their work appears in journals such as Communications of the ACM, European Heart Journal and IEEE Transactions on Services Computing.

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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