F. Baccari

696 citations
23 papers · 477 · h-index 13

Impact in

Papers in

F. Baccari

22 papers receiving 454 citations

Peers

F. Baccari
Comparison fields: 5 of 61
  • Animal Science and Zoology 214
  • Agronomy and Crop Science 72
  • Atomic and Molecular Physics, and Optics 211
  • Small Animals 48
  • Artificial Intelligence 187
Replace I. Vetharaniam with:
I. Vetharaniam New Zealand
Mark E. Wilson United States
Cleon E. Dean United States
Antônio Nonato de Oliveira Brazil
Luke Horstman United States
Mauro Di Benedetto Italy
John Rabon Parks Australia
P. Duffy Ireland
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Citations per field
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Citations per year

Countries citing papers authored by F. Baccari

Since Specialization
Citations

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

Fields of papers citing papers by F. Baccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007105
2 198350
3 201444
4 202043
5 201935
6 201928
7 201527
8 202020
9 201920
10 202220
11 198919
12 201513
13 200912
14 202310
15 20226
16 20235
17
Thermoregulatory responses of Alpine goats during thermal stress
19975
18
Effect of thermal stress on feed intake and serum triiodothyronine in young buffalo bulls.
19905
19 20234
20
Evaluation of selection programmes and environmental trends for some production and reproductive traits in a herd of crossbred Holstein-zebu cattle
19902

About F. Baccari

F. Baccari is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Animal Science and Zoology, Physiology and Statistical and Nonlinear Physics, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (9 papers), Effects of Environmental Stressors on Livestock (9 papers), Quantum Mechanics and Applications (6 papers), Meat and Animal Product Quality (5 papers), Quantum many-body systems (4 papers), Thermoregulation and physiological responses (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Animal Science and Zoology (214 citations), Agronomy and Crop Science (72 citations), Atomic and Molecular Physics, and Optics (211 citations), Small Animals (48 citations) and Artificial Intelligence (187 citations). F. Baccari has collaborated with scholars based in Germany, Spain and Poland. Frequent co-authors include Alfredo Manuel Franco Pereira, Evaldo Antônio Lencioni Titto, Antonio Acín, Remigiusz Augusiak, Jordi Tura, H. D. Johnson, G. L. Hahn, Ivan Šupić, Maciej Lewenstein and Paulo Infante. Their work appears in journals such as Physical Review Letters, International Journal of Biometeorology, PRX Quantum, Physical review. A and Scientific Reports.

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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