Roberto Tedesco

758 citations
71 papers · 585 · h-index 14

Impact in

Papers in

    • Toxoplasma gondii Research Studies 11
    • Natural Language Processing Techniques 11
    • Topic Modeling 7
    • Speech and dialogue systems 5
    • Semantic Web and Ontologies 5

Roberto Tedesco

62 papers receiving 545 citations

Peers

Roberto Tedesco
Comparison fields: 5 of 106
  • Parasitology 170
  • Computer Science Applications 49
  • Virology 28
  • Epidemiology 162
  • Human Factors and Ergonomics 9
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Tedesco

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Tedesco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201239
2 200439
3 200337
4 200430
5 200526
6
Supporting Interoperability and Reusability of Learning Objects: The Virtual Campus Approach
200625
7
The involvement of anti-inflammatory protein, annexin A1, in ocular toxoplasmosis.
201223
8 200823
9 201523
10 201321
11 201621
12 199618
13 200917
14 201314
15 201413
16 201912
17 200411
18 202311
19 200410
20 200010

About Roberto Tedesco

Roberto Tedesco is a scholar working on Parasitology, Artificial Intelligence, Epidemiology, Computer Science Applications and Experimental and Cognitive Psychology, having authored 71 papers that have together received 585 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Toxoplasma gondii Research Studies (11 papers), Herpesvirus Infections and Treatments (8 papers), Topic Modeling (7 papers), Research on Leishmaniasis Studies (6 papers), Speech and dialogue systems (5 papers), Trypanosoma species research and implications (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Parasitology (170 citations), Computer Science Applications (49 citations), Virology (28 citations), Epidemiology (162 citations) and Human Factors and Ergonomics (9 citations). Roberto Tedesco has collaborated with scholars based in Brazil, Italy and Spain. Frequent co-authors include Licia Sbattella, Kátia da Silva Calabrese, Mattia Monga, Ricardo Luiz Smith, Suzana Côrte‐Real, Renato A. Mortara, Mirko Cesarini, Ana Lúcia Abreu‐Silva, Matteo Matteucci and Salvatore Costa. Their work appears in journals such as Parasitology, PLoS ONE, International Journal of Experimental Pathology, Brain Research and American Journal of Tropical Medicine and Hygiene.

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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