Primo Zingaretti

3.6k citations
197 papers · 2.9k · h-index 28

Impact in

Papers in

Primo Zingaretti

183 papers receiving 2.7k citations

Peers

Primo Zingaretti
Comparison fields: 5 of 145
  • Geology 339
  • Computer Vision and Pattern Recognition 1.3k
  • Space and Planetary Science 48
  • Environmental Engineering 438
  • Media Technology 232
Replace Adriano Mancini with:
Adriano Mancini Italy
Jaime Gómez‐García‐Bermejo Spain
Marina Paolanti Italy
Angelos Amditis Greece
Monika Sester Germany
Liqiu Meng Germany
Michela Bertolotto Ireland
Jürgen Döllner Germany
Amir H. Behzadan United States
Youngjib Ham United States
Primo Zingaretti relative to Adriano Mancini Italy Adriano Mancini's profile →
Citations per field
00.5×1.5×2.3×
Adriano Mancini · 1×
Citations per year

Countries citing papers authored by Primo Zingaretti

Since Specialization
Citations

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

Fields of papers citing papers by Primo Zingaretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Primo Zingaretti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Primo Zingaretti Line = papers co-authored together Primo Zingaretti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009193
2 2018135
3 2006129
4 2020106
5 200991
6 201660
7 201159
8 201057
9 201952
10 201851
11 201742
12 201442
13 201837
14 201537
15 201937
16 201836
17 201536
18 202035
19 199835
20 201335

About Primo Zingaretti

Primo Zingaretti is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 197 papers that have together received 2.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (47 papers), Advanced Image and Video Retrieval Techniques (28 papers), Video Surveillance and Tracking Methods (23 papers), Advanced Vision and Imaging (21 papers), Robotic Path Planning Algorithms (20 papers), 3D Surveying and Cultural Heritage (19 papers), Remote Sensing and LiDAR Applications (18 papers) and Remote Sensing in Agriculture (14 papers). The work is most often cited by research in Geology (339 citations), Computer Vision and Pattern Recognition (1.3k citations), Space and Planetary Science (48 citations), Environmental Engineering (438 citations) and Media Technology (232 citations). Primo Zingaretti has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Emanuele Frontoni, Adriano Mancini, Marina Paolanti, Roberto Pierdicca, Sauro Longhi, Daniele Liciotti, Andrea Cesetti, Eva Savina Malinverni, Carla Nardinocchi and Andrea Felicetti. Their work appears in journals such as Journal of Intelligent & Robotic Systems, IEEE Transactions on Intelligent Transportation Systems, Sensors, Robotics and Autonomous Systems and Lecture notes in computer science.

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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