Nicola D'Apuzzo

33 total papers · 492 total citations
26 papers, 309 citations indexed

About

Nicola D'Apuzzo is a scholar working on Computer Vision and Pattern Recognition, Geology and Computational Mechanics. According to data from OpenAlex, Nicola D'Apuzzo has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Geology and 6 papers in Computational Mechanics. Recurrent topics in Nicola D'Apuzzo's work include 3D Surveying and Cultural Heritage (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Vision and Imaging (6 papers). Nicola D'Apuzzo is often cited by papers focused on 3D Surveying and Cultural Heritage (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Vision and Imaging (6 papers). Nicola D'Apuzzo collaborates with scholars based in Switzerland, Croatia and Austria. Nicola D'Apuzzo's co-authors include Pascal Fua, R. Plankers, Daniël Thalmann, A. Gruen, Tomislav Pribanić, Tomislav Petković, Armin Gruen, Hans‐Gerd Maas, Michael Verius and David C. Bojanic and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Nicola D'Apuzzo

24 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Nicola D'Apuzzo 185 79 69 41 38 26 309
Yinyu Nie 195 1.1× 80 1.0× 114 1.7× 22 0.5× 65 1.7× 21 343
Marco Andreetto 174 0.9× 52 0.7× 29 0.4× 29 0.7× 71 1.9× 24 269
Wenming Wu 122 0.7× 97 1.2× 50 0.7× 20 0.5× 14 0.4× 29 344
David Joseph Tan 252 1.4× 67 0.8× 99 1.4× 26 0.6× 92 2.4× 17 342
Frank B. ter Haar 200 1.1× 31 0.4× 102 1.5× 19 0.5× 23 0.6× 28 333
Özgür Erkent 160 0.9× 33 0.4× 19 0.3× 17 0.4× 103 2.7× 26 276
Manyi Li 188 1.0× 73 0.9× 163 2.4× 7 0.2× 30 0.8× 25 343
G. Impoco 181 1.0× 57 0.7× 16 0.2× 29 0.7× 26 0.7× 27 347
Jiapeng Tang 210 1.1× 60 0.8× 213 3.1× 16 0.4× 22 0.6× 17 344
Yuanpeng Liu 123 0.7× 63 0.8× 41 0.6× 14 0.3× 87 2.3× 31 296

Countries citing papers authored by Nicola D'Apuzzo

Since Specialization
Citations

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

Fields of papers citing papers by Nicola D'Apuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicola D'Apuzzo. 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 Nicola D'Apuzzo. The network helps show where Nicola D'Apuzzo may publish in the future.

Co-authorship network of co-authors of Nicola D'Apuzzo

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola D'Apuzzo. A scholar is included among the top collaborators of Nicola D'Apuzzo 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 Nicola D'Apuzzo. Nicola D'Apuzzo 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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