Robert P. Loce

670 citations
49 papers · 479 · h-index 11

Impact in

    • Video Surveillance and Tracking Methods
    • Image and Signal Denoising Methods
    • Advanced Neural Network Applications
    • Medical Image Segmentation Techniques
    • Image Enhancement Techniques
    • Vehicle License Plate Recognition

Papers in

Robert P. Loce

46 papers receiving 441 citations

Peers

Robert P. Loce
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 298
  • Media Technology 93
  • Automotive Engineering 85
  • Building and Construction 75
  • Computer Graphics and Computer-Aided Design 19
Replace Fatma Güney with:
Fatma Güney Türkiye
Raoul de Charette France
Yaodong Cui Canada
Antonio Albiol Spain
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Haiyun Guo China
Jien Kato Japan
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Citations per year

Countries citing papers authored by Robert P. Loce

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Loce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Loce. 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 Robert P. Loce. The network helps show where Robert P. Loce may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert P. Loce, 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 Robert P. Loce Line = papers co-authored together Robert P. Loce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 199245
3 201340
4 199739
5 201338
6 201534
7 201331
8 199430
9 199517
10 199514
11 199113
12 201710
13 20158
14 20037
15 20157
16 20057
17 20186
18 19906
19 20095
20 20135

About Robert P. Loce

Robert P. Loce is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 49 papers that have together received 479 indexed citations. Recurring topics across this work include Color Science and Applications (13 papers), Video Surveillance and Tracking Methods (11 papers), Image Enhancement Techniques (9 papers), Image and Signal Denoising Methods (8 papers), Industrial Vision Systems and Defect Detection (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Optical measurement and interference techniques (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Media Technology (93 citations), Automotive Engineering (85 citations), Building and Construction (75 citations) and Computer Graphics and Computer-Aided Design (19 citations). Robert P. Loce has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Edward R. Dougherty, Orhan Bulan, Wencheng Wu, Edgar A. Bernal, P. Victer Paul, Yusuf Artan, Raja Bala, Zhigang Fan, E.R. Dougherty and Gaurav Sharma. Their work appears in journals such as Optical Engineering, IEEE Transactions on Intelligent Transportation Systems, Signal Processing, Journal of Electronic Imaging and Real-Time Imaging.

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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