Daniela Iacoviello

156 total papers · 1.5k total citations
89 papers, 1.0k citations indexed

About

Daniela Iacoviello is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniela Iacoviello has authored 89 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Modeling and Simulation, 21 papers in Public Health, Environmental and Occupational Health and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniela Iacoviello's work include COVID-19 epidemiological studies (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers) and EEG and Brain-Computer Interfaces (10 papers). Daniela Iacoviello is often cited by papers focused on COVID-19 epidemiological studies (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (20 papers) and EEG and Brain-Computer Interfaces (10 papers). Daniela Iacoviello collaborates with scholars based in Italy, United States and Portugal. Daniela Iacoviello's co-authors include Paolo Di Giamberardino, Ugo Andreaus, Alberto De Santis, Giuseppe Placidi, Matteo Spezialetti, Andrea Petracca, Michele Colloca, Francesco Iacoviello, Vittorio Di Cocco and P. Baragatti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Image Processing.

In The Last Decade

Daniela Iacoviello

79 papers receiving 985 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 Iacoviello 213 190 158 152 150 89 1.0k
Wellington Pinheiro dos Santos 161 0.8× 66 0.3× 27 0.2× 136 0.9× 95 0.6× 111 1.1k
Bing Wang 59 0.3× 119 0.6× 121 0.8× 19 0.1× 35 0.2× 112 1.1k
M. Moshrefi‐Torbati 152 0.7× 85 0.4× 228 1.4× 107 0.7× 10 0.1× 45 971
Rongrong Fu 465 2.2× 11 0.1× 73 0.5× 27 0.2× 21 0.1× 66 1.1k
Asim Bhatti 153 0.7× 8 0.0× 40 0.3× 13 0.1× 149 1.0× 100 977
Rui Li 35 0.2× 11 0.1× 222 1.4× 67 0.4× 21 0.1× 98 1.0k
Bo You 68 0.3× 17 0.1× 151 1.0× 57 0.4× 12 0.1× 131 939
Yasuyuki Suzuki 243 1.1× 13 0.1× 107 0.7× 72 0.5× 28 0.2× 63 1.2k
Daniel Bachmann 261 1.2× 18 0.1× 196 1.2× 51 0.3× 10 0.1× 41 1.2k
Roberta Santoro 322 1.5× 59 0.3× 88 0.6× 188 1.2× 4 0.0× 53 1.1k

Countries citing papers authored by Daniela Iacoviello

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Iacoviello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Iacoviello

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

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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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2026