Daniela W. De Luca

12 total papers · 402 total citations
9 papers, 309 citations indexed

About

Daniela W. De Luca is a scholar working on Social Psychology, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniela W. De Luca has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Ecology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniela W. De Luca's work include Primate Behavior and Ecology (7 papers), Wildlife Ecology and Conservation (6 papers) and Bat Biology and Ecology Studies (3 papers). Daniela W. De Luca is often cited by papers focused on Primate Behavior and Ecology (7 papers), Wildlife Ecology and Conservation (6 papers) and Bat Biology and Ecology Studies (3 papers). Daniela W. De Luca collaborates with scholars based in United States, United Kingdom and Tanzania. Daniela W. De Luca's co-authors include Tim R. B. Davenport, Francesco Rovero, Trevor Jones, Carolyn L. Ehardt, Thomas M. Butynski, Eric J. Sargis, William T. Stanley, Link E. Olson and Lara S. Foley and has published in prestigious journals such as Science, Primates and Oryx.

In The Last Decade

Daniela W. De Luca

9 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela W. De Luca 182 160 73 72 70 9 309
Fernanda Pozzan Paim 122 0.7× 166 1.0× 28 0.4× 86 1.2× 77 1.1× 20 295
Fabrício Bertuol 113 0.6× 148 0.9× 21 0.3× 61 0.8× 64 0.9× 12 252
Stephanie A. Coppeto 200 1.1× 92 0.6× 69 0.9× 93 1.3× 100 1.4× 9 327
Zhang Yongzu 153 0.8× 133 0.8× 33 0.5× 39 0.5× 127 1.8× 9 320
Vu Ngoc Thanh 118 0.6× 131 0.8× 66 0.9× 192 2.7× 108 1.5× 20 331
Jacqueline Sunderland‐Groves 154 0.8× 151 0.9× 72 1.0× 91 1.3× 50 0.7× 11 319
Paul J. Buzzard 206 1.1× 139 0.9× 59 0.8× 33 0.5× 118 1.7× 22 324
Carl Træholt 250 1.4× 139 0.9× 91 1.2× 75 1.0× 93 1.3× 22 353
Loïc Makaga 171 0.9× 169 1.1× 32 0.4× 47 0.7× 100 1.4× 11 326
Benjamin M. Rawson 240 1.3× 125 0.8× 81 1.1× 69 1.0× 76 1.1× 22 358

Countries citing papers authored by Daniela W. De Luca

Since Specialization
Citations

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

Fields of papers citing papers by Daniela W. De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela W. De Luca. 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 Daniela W. De Luca. The network helps show where Daniela W. De Luca may publish in the future.

Co-authorship network of co-authors of Daniela W. De Luca

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026