Daniele Seglie

42 total papers · 440 total citations
15 papers, 348 citations indexed

About

Daniele Seglie is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Daniele Seglie has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Ecological Modeling. Recurrent topics in Daniele Seglie's work include Amphibian and Reptile Biology (11 papers), Species Distribution and Climate Change (6 papers) and Animal Behavior and Reproduction (6 papers). Daniele Seglie is often cited by papers focused on Amphibian and Reptile Biology (11 papers), Species Distribution and Climate Change (6 papers) and Animal Behavior and Reproduction (6 papers). Daniele Seglie collaborates with scholars based in Italy, Canada and Czechia. Daniele Seglie's co-authors include Matthew W. Perkins, Andrew A. Cunningham, Susan D’Souza, Trenton W. J. Garner, Matthew C. Fisher, Purnima Govindarajulu, Cristina Giacoma, Zbyněk Roček, Massimo Delfino and Roberto Sindaco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Behavioral Ecology and Sociobiology.

In The Last Decade

Daniele Seglie

14 papers receiving 325 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniele Seglie 274 121 121 96 79 15 348
Rafael L. Joglar 304 1.1× 131 1.1× 154 1.3× 80 0.8× 84 1.1× 14 372
Juan E. García-Pérez 303 1.1× 112 0.9× 134 1.1× 63 0.7× 99 1.3× 9 337
Jenny Urbina 224 0.8× 95 0.8× 105 0.9× 107 1.1× 117 1.5× 20 371
Thomas M. Doherty‐Bone 235 0.9× 63 0.5× 110 0.9× 108 1.1× 57 0.7× 23 315
Sarah Van Praet 236 0.9× 75 0.6× 119 1.0× 83 0.9× 60 0.8× 17 356
Kathryn L. Ronnenberg 304 1.1× 147 1.2× 139 1.1× 103 1.1× 85 1.1× 6 401
Tamilie Carvalho 242 0.9× 61 0.5× 110 0.9× 83 0.9× 89 1.1× 21 356
Anat M. Belasen 210 0.8× 48 0.4× 101 0.8× 77 0.8× 99 1.3× 21 311
Jonathan E. Kolby 198 0.7× 101 0.8× 90 0.7× 119 1.2× 50 0.6× 25 325
Allison Q. Byrne 221 0.8× 68 0.6× 96 0.8× 72 0.8× 80 1.0× 26 346

Countries citing papers authored by Daniele Seglie

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Seglie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Seglie

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Seglie. A scholar is included among the top collaborators of Daniele Seglie 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 Daniele Seglie. Daniele Seglie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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