Albert Diosi

738 citations
10 papers · 567 · h-index 9

Impact in

Papers in

Albert Diosi

10 papers receiving 531 citations

Peers

Albert Diosi
Comparison fields: 5 of 35
  • Computer Vision and Pattern Recognition 415
  • Aerospace Engineering 500
  • Geology 83
  • Instrumentation 20
  • Environmental Engineering 57
Replace Faraz M. Mirzaei with:
Faraz M. Mirzaei United States
Stefan Gächter Switzerland
Zachary Omohundro United States
Lina María Paz Spain
Oliver Wulf Germany
Dimitrios G. Kottas United States
Pedro Piniés Spain
Benjamin Morrell United States
Christopher Mei United Kingdom
Woosik Lee United States
Albert Diosi relative to Faraz M. Mirzaei United States Faraz M. Mirzaei's profile →
Citations per field
00.5×1.5×
Faraz M. Mirzaei · 1×
Citations per year

Countries citing papers authored by Albert Diosi

Since Specialization
Citations

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

Fields of papers citing papers by Albert Diosi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Albert Diosi, 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 Albert Diosi Line = papers co-authored together Albert Diosi links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2005145
2 200798
3 200579
4 200672
5 200846
6
Uncertainty of Line Segments Extracted from Static SICK PLS Laser Scans
200335
7 200732
8 200731
9 201127
10 20072

About Albert Diosi

Albert Diosi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Ocean Engineering and Environmental Engineering, having authored 10 papers that have together received 567 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotic Path Planning Algorithms (3 papers), Advanced Vision and Imaging (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Video Surveillance and Tracking Methods (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Aerospace Engineering (500 citations), Geology (83 citations), Instrumentation (20 citations) and Environmental Engineering (57 citations). Albert Diosi has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Lindsay Kleeman, Siniša Šegvić, François Chaumette, Anthony Remazeilles and G. Taylor. Their work appears in journals such as The International Journal of Robotics Research, Computer Vision and Image Understanding, IEEE Transactions on Intelligent Transportation Systems, TECNALIA Publications (Fundación TECNALIA Research & Innovation) and IFAC Proceedings Volumes.

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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