Raffaele Mattioli

3.5k citations
55 papers · 2.2k indexed · h-index 25
Topics
Trypanosoma species research and implications (39 papers)Vector-Borne Animal Diseases (14 papers)Vector-borne infectious diseases (13 papers)

In The Last Decade

Raffaele Mattioli

53 papers receiving 2.1k citations

Peers

Raffaele Mattioli
Comparison fields: 5 of 126
  • Epidemiology 1.4k
  • Public Health, Environmental and Occupational Health 933
  • Parasitology 770
  • Infectious Diseases 478
  • Insect Science 477
Replace Kim Picozzi with:
Kim Picozzi United Kingdom
S.G.A. Leak Kenya
Janine M. Ramsey Mexico
Burkhard Bauer Germany
I. Maudlin United Kingdom
José E. Calzada Panama
Azäel Saldaña Panama
Issa Sidibé Burkina Faso
P. D. Ready United Kingdom
Clive R. Davies United Kingdom
Raffaele Mattioli relative to Kim Picozzi United Kingdom Kim Picozzi's profile →
Citations per field
00.5×1.5×
Kim Picozzi · 1×
Citations per year

Countries citing papers authored by Raffaele Mattioli

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Mattioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Mattioli

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Mattioli. A scholar is included among the top collaborators of Raffaele Mattioli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raffaele Mattioli. Raffaele Mattioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 30
2 22
3
Standardizing land cover mapping for tsetse and trypanosomiasis decision making
5
4 70
5 32
6 34
7 31
8 139
9 76
10 38
11 289
12 27
13 88
14
Long-term tsetse and trypanosomiasis management options in West Africa
13
15 9
16 8
17 1
18 25
19 39
20 7

About Raffaele Mattioli

Raffaele Mattioli is a scholar working on Parasitology, Epidemiology and Small Animals, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (39 papers), Vector-Borne Animal Diseases (14 papers) and Vector-borne infectious diseases (13 papers). The work is most often cited by research in Parasitology (770 citations), Epidemiology (1.4k citations) and Insect Science (477 citations). Raffaele Mattioli has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Giuliano Cecchi, Massimo Paone, Pere P. Simarro, José R. Franco, Abdoulaye Diarra, J Jannin, Eric M. Fèvre, Alexandra Shaw, William Wint and Timothy P. Robinson. Their work appears in journals such as Emerging infectious diseases, Agriculture Ecosystems & Environment and Sustainability.

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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