Arcangelo Distante

838 citations
42 papers · 479 · h-index 12

Impact in

Papers in

Arcangelo Distante

33 papers receiving 441 citations

Peers

Arcangelo Distante
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 228
  • Industrial and Manufacturing Engineering 80
  • Media Technology 65
  • Civil and Structural Engineering 125
  • Geology 32
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Zujun Yu China
Young Shik Moon South Korea
Defu Zhang China
Zhong Yang China
Yincheng Qi China
Chen Yao China
Peng Dai China
Carl James Debono Malta
Tae-Hyoung Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Arcangelo Distante

Since Specialization
Citations

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

Fields of papers citing papers by Arcangelo Distante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Arcangelo Distante, 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 Arcangelo Distante Line = papers co-authored together Arcangelo Distante links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 201060
3 200832
4 200823
5 200416
6 201315
7
Laser-based people-following for human-augmented mapping of indoor environments
200714
8 202013
9 200611
10 202011
11 200711
12 200911
13 19959
14 20096
15 19926
16 19935
17 20075
18 20075
19 20205
20 19964

About Arcangelo Distante

Arcangelo Distante is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Geology and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 479 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (11 papers), Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (6 papers), 3D Surveying and Cultural Heritage (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Industrial Vision Systems and Defect Detection (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Industrial and Manufacturing Engineering (80 citations), Media Technology (65 citations), Civil and Structural Engineering (125 citations) and Geology (32 citations). Arcangelo Distante has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Ettore Stella, Pier Luigi Mazzeo, Francescomaria Marino, Grazia Cicirelli, Annalisa Milella, Donato Di Paola, Cosimo Distante, G. Attolico, Tiziana D’Orazio and Paolo Spagnolo. Their work appears in journals such as Industrial Robot the international journal of robotics research and application, Robotics and Autonomous Systems, Computer applications in the biosciences, Journal of Intelligent & Robotic Systems and International Journal of Advanced Robotic Systems.

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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