Roberto Bava

465 citations
31 papers · 271 · h-index 10

Impact in

Papers in

Roberto Bava

27 papers receiving 264 citations

Peers

Roberto Bava
Comparison fields: 5 of 56
  • Insect Science 167
  • Ecology, Evolution, Behavior and Systematics 64
  • Food Science 48
  • Small Animals 19
  • Plant Science 95
Replace Carmine Lupia with:
Carmine Lupia Italy
Anand Prakash India
Maria Christina Sanches Muratori Brazil
Davi F. Alba Brazil
Anthony Christian Mgbeahuruike Nigeria
Aldilene da Silva Lima Brazil
Lieve Herman United States
Paola Ervatti Gama Brazil
Bedaso Kebede Ethiopia
Reginaldo Barros Brazil
Roberto Bava relative to Carmine Lupia Italy Carmine Lupia's profile →
Citations per field
00.5×1.5×
Carmine Lupia · 1×
Citations per year

Countries citing papers authored by Roberto Bava

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Bava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202334
2 202130
3 202227
4 202420
5 202420
6 202319
7 202218
8 202216
9 202414
10 202213
11 20238
12 20236
13 20236
14 20225
15 20255
16 20244
17 20244
18 20233
19 20233
20 20233

About Roberto Bava

Roberto Bava is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Small Animals and Pharmacology, having authored 31 papers that have together received 271 indexed citations. Recurring topics across this work include Insect and Pesticide Research (17 papers), Bee Products Chemical Analysis (10 papers), Plant and animal studies (9 papers), Insect Pest Control Strategies (9 papers), Insect and Arachnid Ecology and Behavior (3 papers), Healthcare and Venom Research (3 papers), Mercury impact and mitigation studies (3 papers) and Helminth infection and control (3 papers). The work is most often cited by research in Insect Science (167 citations), Ecology, Evolution, Behavior and Systematics (64 citations), Food Science (48 citations), Small Animals (19 citations) and Plant Science (95 citations). Roberto Bava has collaborated with scholars based in Italy and United States. Frequent co-authors include Ernesto Palma, Domenico Britti, Fabio Castagna, Carmine Lupia, Vincenzo Musella, Vincenzo Musolino, Cristian Piras, Mariangela Marrelli, Giancarlo Statti and Cristina Carresi. Their work appears in journals such as Veterinary Sciences, Animals, Pathogens, Antibiotics and Frontiers in Veterinary Science.

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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