Ivan Rivalta

5.7k citations
100 papers · 2.8k · h-index 31

Impact in

Papers in

Ivan Rivalta

100 papers receiving 2.7k citations

Peers

Ivan Rivalta
Comparison fields: 5 of 127
  • Physical and Theoretical Chemistry 348
  • Atomic and Molecular Physics, and Optics 939
  • Catalysis 172
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 381
Replace Anton Savitsky with:
Anton Savitsky Germany
Stephen D. Fried United States
Gregory M. Greetham United Kingdom
Andréa Bottoni Italy
Sandra Luber Switzerland
Michio M. Matsushita Japan
Marcus Lundberg Sweden
Martina Huber Netherlands
S. Michael Soltis United States
Mitsunori Kato United States
Ivan Rivalta relative to Anton Savitsky Germany Anton Savitsky's profile →
Citations per field
00.5×1.5×2.1×
Anton Savitsky · 1×
Citations per year

Countries citing papers authored by Ivan Rivalta

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rivalta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011185
2 2012181
3 2018164
4 2011122
5 2017102
6 201889
7 201364
8 201263
9 201854
10 201451
11 202147
12 201847
13 202242
14 201640
15 201939
16 202039
17 201539
18 201537
19 201337
20 201336

About Ivan Rivalta

Ivan Rivalta is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Cellular and Molecular Neuroscience and Physical and Theoretical Chemistry, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (36 papers), Photoreceptor and optogenetics research (20 papers), Photosynthetic Processes and Mechanisms (18 papers), Advanced Chemical Physics Studies (15 papers), Photochemistry and Electron Transfer Studies (15 papers), Catalytic Processes in Materials Science (14 papers), Protein Structure and Dynamics (12 papers) and DNA and Nucleic Acid Chemistry (11 papers). The work is most often cited by research in Physical and Theoretical Chemistry (348 citations), Atomic and Molecular Physics, and Optics (939 citations), Catalysis (172 citations), Molecular Biology (1.4k citations) and Cellular and Molecular Neuroscience (381 citations). Ivan Rivalta has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Víctor S. Batista, Marco Garavelli, Artur Nenov, Emilia Sicilia, J. Patrick Loria, Nino Russo, Gary W. Brudvig, Shaul Mukamel, Javier Segarra‐Martí and Gregory A. Manley. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, Theoretical Chemistry Accounts and Chemical Physics Letters.

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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