Diego Macrini

786 citations
12 papers · 463 · h-index 10

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 8
    • Graph Theory and Algorithms 5
    • Image Processing and 3D Reconstruction 3
    • Medical Image Segmentation Techniques 3
    • Image Retrieval and Classification Techniques 3
    • Advanced Neural Network Applications 2
    • Robotics and Sensor-Based Localization 2

Diego Macrini

12 papers receiving 442 citations

Peers

Diego Macrini
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 396
  • Computer Graphics and Computer-Aided Design 58
  • Computational Mechanics 185
  • Geology 31
  • Signal Processing 32
Replace Roee Litman with:
Roee Litman Israel
Shangzhe Wu United Kingdom
Laura Papaleo Italy
Yonathan Aflalo Israel
Leonidas Guibas United States
Andrea Cerri Italy
Thomas Schoenemann Germany
Adrien Poulenard United States
Libor Váša Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Diego Macrini

Since Specialization
Citations

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

Fields of papers citing papers by Diego Macrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Diego Macrini, 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 Diego Macrini Line = papers co-authored together Diego Macrini links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007182
2 200586
3 200842
4 200631
5 200330
6 201123
7 200622
8 201117
9 201216
10
Indexing and Matching for View-Based 3-D Object Recognition Using Shock Graphs
200311
11
The Current State and TRL Assessment of People Tracking Technology for Video Surveillance Applications
20142
12
A Computer Vision System for Spaceborne Safety Monitoring
20051

About Diego Macrini

Diego Macrini is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Ocean Engineering and Computational Mechanics, having authored 12 papers that have together received 463 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Graph Theory and Algorithms (5 papers), Image Processing and 3D Reconstruction (3 papers), Medical Image Segmentation Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Data Management and Algorithms (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (396 citations), Computer Graphics and Computer-Aided Design (58 citations), Computational Mechanics (185 citations), Geology (31 citations) and Signal Processing (32 citations). Diego Macrini has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Sven Dickinson, Kaleem Siddiqi, Ali Shokoufandeh, Juan Zhang, Sylvain Bouix, Steven W. Zucker, David J. Fleet, M. Fatih Demirci, Cristian Sminchisescu and Alexandru Telea. Their work appears in journals such as Computer Vision and Image Understanding, Machine Vision and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IET Computer Vision and TSpace.

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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