Danilo Montesi

1.8k citations
138 papers · 1.2k · h-index 16

Impact in

Papers in

Danilo Montesi

121 papers receiving 1.1k citations

Peers

Danilo Montesi
Comparison fields: 5 of 123
  • Signal Processing 206
  • Computer Networks and Communications 352
  • Artificial Intelligence 488
  • Information Systems 263
  • Computer Vision and Pattern Recognition 225
Replace Jixue Liu with:
Jixue Liu Australia
Vipin Kumar United States
Aryya Gangopadhyay United States
Lakshmish Ramaswamy United States
Stig Kjær Andersen Denmark
Ibai Gurrutxaga Spain
Abdelmounaam Rezgui United States
Basabi Chakraborty Japan
Wei Lai Australia
Sudeshna Sarkar India
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Montesi

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Montesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 200598
3 201354
4 201046
5 202144
6 202043
7 200538
8 201836
9 202136
10 201936
11 199732
12 201632
13 200028
14
Uncertainty in data integration: current approaches and open problems.
200726
15 200723
16 201215
17 201715
18 199715
19 201513
20 202212

About Danilo Montesi

Danilo Montesi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 138 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (50 papers), Semantic Web and Ontologies (37 papers), Data Management and Algorithms (28 papers), Logic, Reasoning, and Knowledge (17 papers), Complex Network Analysis Techniques (17 papers), Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (13 papers) and Distributed systems and fault tolerance (11 papers). The work is most often cited by research in Signal Processing (206 citations), Computer Networks and Communications (352 citations), Artificial Intelligence (488 citations), Information Systems (263 citations) and Computer Vision and Pattern Recognition (225 citations). Danilo Montesi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Matteo Magnani, Flavio Bertini, Stefano Rizzo, Alberto Trombetta, Avigdor Gal, Ateret Anaby-Tavor, Giulio Marchesini, Rajesh Sharma, Elisa Bertino and Andrea Fabbri. Their work appears in journals such as Data & Knowledge Engineering, Social Network Analysis and Mining, Journal of Clinical Medicine, Knowledge-Based Systems and Acta Informatica.

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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