Ferdinando Cicalese

1.4k citations
63 papers · 369 · h-index 10

Impact in

Papers in

Ferdinando Cicalese

56 papers receiving 358 citations

Peers

Ferdinando Cicalese
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 141
  • Artificial Intelligence 214
  • Computer Networks and Communications 126
  • Discrete Mathematics and Combinatorics 17
  • Hardware and Architecture 19
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Citations per year

Countries citing papers authored by Ferdinando Cicalese

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinando Cicalese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200238
2 201433
3 201323
4 201118
5
Searching for Jumbled Patterns in Strings
200916
6 201215
7 201313
8 200212
9 200011
10 201110
11 20119
12 19989
13 20008
14 20078
15 20058
16
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost
20147
17 20127
18 20047
19 19967
20 20057

About Ferdinando Cicalese

Ferdinando Cicalese is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Molecular Biology and Management Science and Operations Research, having authored 63 papers that have together received 369 indexed citations. Recurring topics across this work include Optimization and Search Problems (22 papers), Machine Learning and Algorithms (18 papers), Algorithms and Data Compression (15 papers), Complexity and Algorithms in Graphs (14 papers), DNA and Biological Computing (7 papers), Advanced Graph Theory Research (6 papers), Software Testing and Debugging Techniques (4 papers) and Advanced Bandit Algorithms Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Artificial Intelligence (214 citations), Computer Networks and Communications (126 citations), Discrete Mathematics and Combinatorics (17 citations) and Hardware and Architecture (19 citations). Ferdinando Cicalese has collaborated with scholars based in Italy, Brazil and Germany. Frequent co-authors include Ugo Vaccaro, Eduardo Sany Laber, Martin Milanič, Luisa Gargano, Zsuzsanna Lipták, Gabriele Fici, Christian Deppe, Daniele Mundici, Gennaro Cordasco and Vincenzo Loia. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, IEEE Transactions on Information Theory, Algorithmica and Theory of Computing Systems.

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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