Carmela Comito

66 papers receiving 844 citations

Peers

Carmela Comito
Comparison fields: 5 of 115
  • Transportation 183
  • Health Informatics 19
  • Information Systems and Management 70
  • Signal Processing 101
  • Information Systems 201
Replace Hamdi Kavak with:
Hamdi Kavak United States
José J. Padilla United States
Shoko Wakamiya Japan
Muhammad Shahzad Younis Pakistan
Yukiko Kawai Japan
Katayoun Farrahi United Kingdom
Ibrar Hussain Pakistan
Pavlos S. Efraimidis Greece
Aris Gkoulalas-Divanis Greece
Mohammad Ali Abbasi United States
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Citations per field
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Citations per year

Countries citing papers authored by Carmela Comito

Since Specialization
Citations

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

Fields of papers citing papers by Carmela Comito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202290
2 201655
3
A Data Mining Ontology for Grid Programming
200350
4 202342
5 202041
6 202138
7 201933
8 201433
9 201629
10 202327
11 201927
12 201726
13 201625
14 201625
15
Proteus, a Grid based Problem Solving Environment for Bioinformatics: Architecture and Experiments
200423
16 200522
17 202221
18 201721
19 201719
20 201315

About Carmela Comito

Carmela Comito is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Transportation, having authored 75 papers that have together received 887 indexed citations. Recurring topics across this work include Data Management and Algorithms (18 papers), Human Mobility and Location-Based Analysis (15 papers), Misinformation and Its Impacts (12 papers), Distributed and Parallel Computing Systems (11 papers), Scientific Computing and Data Management (9 papers), Data-Driven Disease Surveillance (8 papers), Geographic Information Systems Studies (8 papers) and Advanced Database Systems and Queries (8 papers). The work is most often cited by research in Transportation (183 citations), Health Informatics (19 citations), Information Systems and Management (70 citations), Signal Processing (101 citations) and Information Systems (201 citations). Carmela Comito has collaborated with scholars based in Italy, United Kingdom and Nigeria. Frequent co-authors include Domenico Talia, Clara Pizzuti, Agostino Forestiero, Mario Cannataro, Eugenio Cesario, Ester Zumpano, Luciano Caroprese, Paolo Trunfio, Pierangelo Veltri and Fabrizio Marozzo. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Access, Social Network Analysis and Mining, Future Generation Computer Systems 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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