Luigi V. Mancini

5.8k citations
116 papers · 3.2k indexed · 1 hit paper · h-index 30

Luigi V. Mancini

108 papers receiving 2.9k citations

Hit Papers

Scalable and efficient provable data possession6982008202620142020200400600

Peers

Luigi V. Mancini
Comparison fields: 5 of 81
  • Computer Networks and Communications 2.0k
  • Information Systems 1.2k
  • Artificial Intelligence 1.5k
  • Signal Processing 401
  • Hardware and Architecture 188
Replace Andreas Haeberlen with:
Andreas Haeberlen United States
William A. Arbaugh United States
Dengguo Feng China
Frans Kaashoek United States
A. Yao United States
Shiuh‐Pyng Shieh Taiwan
Roberto Baldoni Italy
Jun Xu United States
John McHugh United States
Jay Lepreau United States
Luigi V. Mancini relative to Andreas Haeberlen United States Andreas Haeberlen's profile →
Citations per field
00.5×2.5×
Andreas Haeberlen · 1×
Citations per year

Countries citing papers authored by Luigi V. Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Luigi V. Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luigi V. Mancini. 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 Luigi V. Mancini. The network helps show where Luigi V. Mancini may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20227
5 202110
6 20198
7 20183
8 201214
9 200711
10 200736
11 20079
12 20063
13 200528
14 20046
15
Formal specification for fast automatic IDS training
20033
16
SECURITY AND PRIVACY ISSUES
200325
17 20003
18
GAMMA on DEC 2114x with Efficient Flow Control.
19992
19 19952
20 198625

About Luigi V. Mancini

Luigi V. Mancini is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 116 papers that have together received 3.2k indexed citations. Recurring topics across this work include Security in Wireless Sensor Networks (38 papers), Distributed systems and fault tolerance (24 papers), Energy Efficient Wireless Sensor Networks (23 papers), Network Security and Intrusion Detection (21 papers), Cryptography and Data Security (21 papers), Advanced Malware Detection Techniques (19 papers), Internet Traffic Analysis and Secure E-voting (16 papers) and Security and Verification in Computing (14 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (1.2k citations) and Artificial Intelligence (1.5k citations). Luigi V. Mancini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Roberto Di Pietro, Mauro Conti, Gene Tsudik, Alessandro Mei, Giuseppe Ateniese, Sushil Jajodia, Nino Vincenzo Verde, Riccardo Spolaor, Angelo Spognardi and Alan A. Bertossi. Their work appears in journals such as Communications of the ACM, IEEE Access and IEEE Transactions on Software Engineering.

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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