L.A. Benevento

4.0k citations
42 papers · 3.2k · h-index 28

Impact in

Papers in

L.A. Benevento

42 papers receiving 3.0k citations

Peers

L.A. Benevento
Comparison fields: 5 of 94
  • Cognitive Neuroscience 2.6k
  • Cellular and Molecular Neuroscience 1.1k
  • Sensory Systems 286
  • Neurology 306
  • Ophthalmology 201
Replace Alan C. Rosenquist with:
Alan C. Rosenquist United States
Carlos Eduardo Rocha‐Miranda Brazil
Takuji Kasamatsu United States
Stephen B. Edwards United States
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Kao Liang Chow United States
Denis Raczkowski United States
Gregory B. Stanton United States
Ricardo Gattass Brazil
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Citations per year

Countries citing papers authored by L.A. Benevento

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Benevento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Benevento. 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 L.A. Benevento. The network helps show where L.A. Benevento may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975375
2 1976291
3 1974229
4 1977221
5 1977168
6 1983163
7 1972155
8 1981122
9 1979104
10 1983103
11 199595
12 197174
13 197773
14 199267
15 199563
16 196962
17 197562
18 197560
19 197056
20 198854

About L.A. Benevento

L.A. Benevento is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Ophthalmology, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Visual perception and processing mechanisms (23 papers), Retinal Development and Disorders (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Vestibular and auditory disorders (4 papers), Memory and Neural Mechanisms (4 papers), Glaucoma and retinal disorders (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Cellular and Molecular Neuroscience (1.1k citations), Sensory Systems (286 citations), Neurology (306 citations) and Ophthalmology (201 citations). L.A. Benevento has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael Rezak, James H. Fallon, Gregg P. Standage, O. Creutzfeldt, U. Kuhnt, Barry J. Davis, Ford F. Ebner, Kazunori Yoshida, R.S. Cohen and Barclay W. Bakkum. Their work appears in journals such as Brain Research, The Journal of Comparative Neurology, Experimental Neurology, Experimental Brain Research and Neurology.

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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