Daniel S. Calovi
- Computer Networks and Communications top 10%
- Condensed Matter Physics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Molecular Biology
- Co-authors
- Clément SireGuy ThéraulazHugues ChatéAlfonso Pérez‐EscuderoValentin LechevalPaul BarduniasNicole CareyJustin Werfel
- Topics
- Plant and animal studies (3 papers)Insect and Arachnid Ecology and Behavior (3 papers)Mathematical and Theoretical Epidemiology and Ecology Models (2 papers)
- Cited by
- Condensed Matter PhysicsComputer Networks and CommunicationsEcology, Evolution, Behavior and Systematics
- Journals
- Scientific ReportsProceedings of the Royal Society B Biological SciencesProgress in Neurobiology
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Daniel S. Calovi
12 papers receiving 354 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 129
- Condensed Matter Physics 100
- Ecology, Evolution, Behavior and Systematics 81
- Genetics 59
- Molecular Biology 57
Countries citing papers authored by Daniel S. Calovi
This map shows the geographic impact of Daniel S. Calovi'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 Daniel S. Calovi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Calovi more than expected).
Fields of papers citing papers by Daniel S. Calovi
This network shows the impact of papers produced by Daniel S. Calovi. 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 Daniel S. Calovi. The network helps show where Daniel S. Calovi may publish in the future.
Co-authorship network of co-authors of Daniel S. Calovi
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Calovi. A scholar is included among the top collaborators of Daniel S. Calovi 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 Daniel S. Calovi. Daniel S. Calovi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 84 | |
| 8 | 15 | |
| 9 | 63 | |
| 10 | 147 | |
| 11 | 6 | |
| 12 | 1 |
About Daniel S. Calovi
Daniel S. Calovi is a scholar working on Ecology, Evolution, Behavior and Systematics, Condensed Matter Physics and Immunology and Allergy, having authored 12 papers that have together received 358 indexed citations. Recurring topics across this work include Plant and animal studies (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Condensed Matter Physics (100 citations), Computer Networks and Communications (129 citations) and Ecology, Evolution, Behavior and Systematics (81 citations). Daniel S. Calovi has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Clément Sire, Guy Théraulaz, Hugues Chaté, Alfonso Pérez‐Escudero, Valentin Lecheval, Paul Bardunias, Nicole Carey, Justin Werfel, J. Scott Turner and Radhika Nagpal. Their work appears in journals such as Scientific Reports, Proceedings of the Royal Society B Biological Sciences and Progress in Neurobiology.
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.