Adriano Mancini

4.2k citations
187 papers · 2.7k indexed · 1 hit paper · h-index 27
Topics
Robotics and Sensor-Based Localization (34 papers)Remote Sensing in Agriculture (25 papers)Robotic Path Planning Algorithms (19 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
Partner nations
ItalySwedenSpain

In The Last Decade

Adriano Mancini

168 papers receiving 2.5k citations

Hit Papers

On the Integration of Artificial Intelligence and Blockch...202420262025202410203040

Peers

Adriano Mancini
Comparison fields: 5 of 150
  • Computer Vision and Pattern Recognition 721
  • Aerospace Engineering 569
  • Electrical and Electronic Engineering 335
  • Environmental Engineering 324
  • Control and Systems Engineering 285
Replace Saiedeh Razavi with:
Saiedeh Razavi Canada
Lúcio Soibelman United States
Hyoungkwan Kim South Korea
Youngjib Ham United States
Amin Hammad Canada
Angelos Amditis Greece
Yong K. Cho United States
Primo Zingaretti Italy
Marina Paolanti Italy
Osama Moselhi Canada
Adriano Mancini relative to Saiedeh Razavi Canada Saiedeh Razavi's profile →
Citations per field
00.5×
Saiedeh Razavi · 1×
Citations per year

Countries citing papers authored by Adriano Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriano Mancini

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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18 49
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Development of a GIS environment for archaeological multipurpose applications: the Fano historic centre
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About Adriano Mancini

Adriano Mancini is a scholar working on Computer Vision and Pattern Recognition, Geology and Industrial and Manufacturing Engineering, having authored 187 papers that have together received 2.7k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (34 papers), Remote Sensing in Agriculture (25 papers) and Robotic Path Planning Algorithms (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (721 citations), Geology (155 citations) and Medical Laboratory Technology (39 citations). Adriano Mancini has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Emanuele Frontoni, Primo Zingaretti, Sauro Longhi, Marina Paolanti, Luca Romeo, Alessandro Benini, Andrea Cesetti, Jelena Loncarski, Anna Nora Tassetti and Roberto Pierdicca. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

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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