R. Pito

512 citations
7 papers · 359 · h-index 5

Impact in

  • Geology top 5%
    • 3D Surveying and Cultural Heritage
    • Advanced Vision and Imaging
    • Robotic Path Planning Algorithms
    • Optical measurement and interference techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

Journals
IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Scholarly Commons (University of Pennsylvania) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
Partner nations
United States

In The Last Decade

R. Pito

7 papers receiving 336 citations

Peers

R. Pito
Comparison fields: 5 of 29
  • Geology 123
  • Computer Vision and Pattern Recognition 278
  • Computer Graphics and Computer-Aided Design 46
  • Aerospace Engineering 235
  • Instrumentation 16
Replace Jasna Maver with:
Jasna Maver Slovenia
Vincent Gay‐Bellile France
Lingni Ma Netherlands
Tristan Laidlow United Kingdom
Jingwen Wang China
Quang-Hieu Pham Singapore
Johan Kjellander Sweden
Yohan Fougerolle France
Gaku Narita Japan
Songfang Han United States
R. Pito relative to Jasna Maver Slovenia Jasna Maver's profile →
Citations per field
00.5×2.6×
Jasna Maver · 1×
Citations per year

Countries citing papers authored by R. Pito

Since Specialization
Citations

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

Fields of papers citing papers by R. Pito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside R. Pito, 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 R. Pito Line = papers co-authored together R. Pito links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1999207
2 199676
3 199538
4 200219
5
Automated surface acquisition using range cameras
199714
6 20024
7 20021

About R. Pito

R. Pito is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Instrumentation and Computational Mechanics, having authored 7 papers that have together received 359 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), 3D Surveying and Cultural Heritage (5 papers), Optical measurement and interference techniques (2 papers), Augmented Reality Applications (2 papers), Computer Graphics and Visualization Techniques (1 paper), Image Processing and 3D Reconstruction (1 paper), 3D Shape Modeling and Analysis (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Geology (123 citations), Computer Vision and Pattern Recognition (278 citations), Computer Graphics and Computer-Aided Design (46 citations), Aerospace Engineering (235 citations) and Instrumentation (16 citations). R. Pito has collaborated with scholars based in United States. Frequent co-authors include Růžena Bajcsy and R. Bajcsy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scholarly Commons (University of Pennsylvania) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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