Luigi Cardamone

813 citations
18 papers · 596 · h-index 14

Impact in

Papers in

Luigi Cardamone

18 papers receiving 574 citations

Peers

Luigi Cardamone
Comparison fields: 5 of 51
  • Artificial Intelligence 488
  • Automotive Engineering 153
  • Computer Vision and Pattern Recognition 149
  • Developmental and Educational Psychology 77
  • Computer Graphics and Computer-Aided Design 21
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John Funge United States
Kun Shao China
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Citations per field
00.5×10×13.9×
John Funge · 1×
Citations per year

Countries citing papers authored by Luigi Cardamone

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Cardamone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Luigi Cardamone, 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 Cardamone Line = papers co-authored together Luigi Cardamone links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201079
2 201167
3 201062
4 201154
5 201149
6 200946
7 200945
8 200943
9 201040
10 201022
11 201119
12 201017
13 201017
14 201417
15 201111
16 20135
17
Evolutionary Learning and Search-Based Content Generation in Computer Games
20122
18 20111

About Luigi Cardamone

Luigi Cardamone is a scholar working on Artificial Intelligence, Sociology and Political Science, Economics and Econometrics, Developmental and Educational Psychology and Automotive Engineering, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (16 papers), Reinforcement Learning in Robotics (9 papers), Evolutionary Algorithms and Applications (6 papers), Sports Analytics and Performance (4 papers), Educational Games and Gamification (4 papers), Digital Games and Media (4 papers), Video Analysis and Summarization (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Artificial Intelligence (488 citations), Automotive Engineering (153 citations), Computer Vision and Pattern Recognition (149 citations), Developmental and Educational Psychology (77 citations) and Computer Graphics and Computer-Aided Design (21 citations). Luigi Cardamone has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Pier Luca Lanzi, Daniele Loiacono, Julian Togelius, Georgios N. Yannakakis, Enrique Onieva, Yago Sáez, Martin V. Butz, Diego Pérez-Liébana, David A. Pelta and Mike Preuß. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, Expert Systems with Applications, Applied Soft Computing, Lecture notes in computer science and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

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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