Francesco Cicconardi

1.0k citations
26 papers · 640 indexed · h-index 17

Francesco Cicconardi

24 papers receiving 634 citations

Peers

Francesco Cicconardi
Comparison fields: 5 of 66
  • Ecology, Evolution, Behavior and Systematics 283
  • Genetics 245
  • Molecular Biology 196
  • Ecology 167
  • Plant Science 101
Replace Eugenia Rashkovetsky with:
Eugenia Rashkovetsky Israel
Neda Barghi United States
François Mallard France
Pablo Duchen Germany
Zach Gompert United States
Emma L. Berdan Sweden
Mathieu Chouteau France
Heidi Connahs United States
Julia H. Bowsher United States
Jens Bast Switzerland
Francesco Cicconardi relative to Eugenia Rashkovetsky Israel Eugenia Rashkovetsky's profile →
Citations per field
00.5×4.9×
Eugenia Rashkovetsky · 1×
Citations per year

Countries citing papers authored by Francesco Cicconardi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cicconardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cicconardi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cicconardi. A scholar is included among the top collaborators of Francesco Cicconardi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Cicconardi. Francesco Cicconardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 27
6 27
7 21
8 41
9 11
10 21
11 19
12 33
13 16
14 21
15 9
16 22
17 42
18 69
19 11
20 7

About Francesco Cicconardi

Francesco Cicconardi is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 640 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect and Arachnid Ecology and Behavior (7 papers) and Plant and animal studies (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (283 citations), Ecological Modeling (39 citations) and Genetics (245 citations). Francesco Cicconardi has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Brent C. Emerson, Pietro Paolo Fanciulli, Francesco Frati, Francesco Nardi, Peter Shaw, Stephen H. Montgomery, Daniele Di Marino, James J. Lewis, Robert D. Reed and Charles G. Danko. Their work appears in journals such as Nature Communications, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

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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