Nicolás Guil

2.9k citations
87 papers · 1.1k · h-index 16

Impact in

Papers in

    • Human Pose and Action Recognition 19
    • Image and Object Detection Techniques 19
    • Video Analysis and Summarization 16
    • Video Surveillance and Tracking Methods 15
    • Advanced Image and Video Retrieval Techniques 12
    • Advanced Vision and Imaging 9
    • Gait Recognition and Analysis 15

Nicolás Guil

83 papers receiving 992 citations

Peers

Nicolás Guil
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 734
  • Human-Computer Interaction 107
  • Hardware and Architecture 128
  • Media Technology 105
  • Signal Processing 92
Replace Guanglie Zhang with:
Guanglie Zhang Hong Kong
Yao Lu China
Anurag Mittal India
Ching‐Te Chiu Taiwan
Ming‐Hwa Sheu Taiwan
Stefania Perri Italy
Rin-ichiro Taniguchi Japan
Jen‐Shiun Chiang Taiwan
Sen Wang China
Xue Liu China
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Citations per field
00.5×4.9×
Guanglie Zhang · 1×
Citations per year

Countries citing papers authored by Nicolás Guil

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Guil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995100
2 199794
3 201755
4 201852
5 201942
6 201641
7 201634
8 201732
9 199631
10 201331
11 201228
12 201126
13 202125
14 199925
15 202321
16 200721
17 200715
18 201515
19 202115
20 201415

About Nicolás Guil

Nicolás Guil is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (19 papers), Image and Object Detection Techniques (19 papers), Video Analysis and Summarization (16 papers), Gait Recognition and Analysis (15 papers), Video Surveillance and Tracking Methods (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (734 citations), Human-Computer Interaction (107 citations), Hardware and Architecture (128 citations), Media Technology (105 citations) and Signal Processing (92 citations). Nicolás Guil has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Emilio L. Zapata, Francisco M. Castro, Manuel J. Marín‐Jiménez, Juan Gómez-Luna, Julio Villalba, R. Medina-Carnicer, Fernando De la Torre, Rafael Muñoz‐Salinas, I-Jui Sung and Fernando De la Torre. Their work appears in journals such as Journal of Parallel and Distributed Computing, Pattern Recognition, Computer Methods and Programs in Biomedicine, Expert Systems with Applications and Pattern Recognition Letters.

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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