Nicolas Franceschini

5.6k citations
73 papers · 3.3k · h-index 29

Impact in

Papers in

Nicolas Franceschini

73 papers receiving 3.2k citations

Peers

Nicolas Franceschini
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 1.8k
  • Endocrine and Autonomic Systems 242
  • Computer Vision and Pattern Recognition 654
  • Aerospace Engineering 743
  • Ecology, Evolution, Behavior and Systematics 558
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Andrew Straw United States
W. Reichardt Germany
Thomas Labhart Switzerland
Mandyam V. Srinivasan Australia
Alexander Borst Germany
Kristin Branson United States
Holger G. Krapp United Kingdom
Shaowu Zhang Australia
David C. O’Carroll Australia
Thomas S Collett United Kingdom
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Nicolas Franceschini

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Franceschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992298
2 2013270
3 1971197
4 1969160
5 1977154
6 2004134
7 1981131
8 1971121
9 2007112
10 1979101
11 196896
12 197890
13 200485
14 198180
15 200765
16 198462
17 198161
18 197660
19 199050
20 201048

About Nicolas Franceschini

Nicolas Franceschini is a scholar working on Cellular and Molecular Neuroscience, Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Molecular Biology, having authored 73 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (28 papers), Photoreceptor and optogenetics research (15 papers), Advanced Vision and Imaging (13 papers), CCD and CMOS Imaging Sensors (13 papers), Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (9 papers), Retinal Development and Disorders (9 papers) and Biomimetic flight and propulsion mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Endocrine and Autonomic Systems (242 citations), Computer Vision and Pattern Recognition (654 citations), Aerospace Engineering (743 citations) and Ecology, Evolution, Behavior and Systematics (558 citations). Nicolas Franceschini has collaborated with scholars based in France, Germany and Montenegro. Frequent co-authors include K Kirschfeld, Franck Ruffier, Christian Blanes, J. M. Pichon, Baruch Minke, Stéphane Viollet, Julien Serres, Roger Hardie, R Feiler and Peter McIntyre. Their work appears in journals such as Journal of Comparative Physiology A, European Biophysics Journal, Science, Nature and Journal of Physiology-Paris.

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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