Davide La Rosa

56 total papers · 841 total citations
35 papers, 564 citations indexed

About

Davide La Rosa is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Davide La Rosa has authored 35 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Mechanical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Davide La Rosa's work include Context-Aware Activity Recognition Systems (11 papers), Adsorption and Cooling Systems (8 papers) and Phase Change Materials Research (6 papers). Davide La Rosa is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Adsorption and Cooling Systems (8 papers) and Phase Change Materials Research (6 papers). Davide La Rosa collaborates with scholars based in Italy and Germany. Davide La Rosa's co-authors include Valeria Palomba, Filippo Palumbo, Salvatore Vasta, Paolo Barsocchi, Andrea Frazzica, Vincenza Brancato, Antonino Crivello, Luigi Calabrese, Alessio Sapienza and Erina Ferro and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Sensors.

In The Last Decade

Davide La Rosa

32 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Davide La Rosa 282 97 69 64 52 35 564
Hua Hu 111 0.4× 78 0.8× 67 1.0× 31 0.5× 46 0.9× 56 595
Salah Al-Zubaidi 137 0.5× 159 1.6× 32 0.5× 43 0.7× 24 0.5× 59 687
Mrinmoy Sarkar 183 0.6× 104 1.1× 76 1.1× 47 0.7× 34 0.7× 54 560
Iñaki Navarro 180 0.6× 58 0.6× 129 1.9× 35 0.5× 167 3.2× 28 651
Luttfi A. Al-Haddad 133 0.5× 98 1.0× 46 0.7× 88 1.4× 24 0.5× 54 679
Xiaowei Wang 177 0.6× 81 0.8× 28 0.4× 53 0.8× 25 0.5× 56 571
T. Ch. Anil Kumar 205 0.7× 174 1.8× 33 0.5× 67 1.0× 20 0.4× 55 625
Amer Nordin Darus 371 1.3× 50 0.5× 21 0.3× 20 0.3× 35 0.7× 43 628
Abdullah Alhumaidi Alotaibi 74 0.3× 216 2.2× 74 1.1× 37 0.6× 37 0.7× 40 564
Xiao Zhao 151 0.5× 134 1.4× 28 0.4× 24 0.4× 136 2.6× 41 640

Countries citing papers authored by Davide La Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Davide La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide La Rosa. 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 Davide La Rosa. The network helps show where Davide La Rosa may publish in the future.

Co-authorship network of co-authors of Davide La Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Davide La Rosa. A scholar is included among the top collaborators of Davide La Rosa 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 Davide La Rosa. Davide La Rosa 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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