Manuel J. Marín‐Jiménez

6.7k citations
65 papers · 3.5k indexed · 2 hit papers · h-index 21

Manuel J. Marín‐Jiménez

60 papers receiving 3.4k citations

Hit Papers

Automatic generation and detection of highly reliable fid...1.6k200820262014202050010001.5k

Peers

Manuel J. Marín‐Jiménez
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 2.5k
  • Human-Computer Interaction 561
  • Geology 256
  • Aerospace Engineering 853
  • Biomedical Engineering 728
Replace Rafael Muñoz‐Salinas with:
Rafael Muñoz‐Salinas Spain
F.J. Madrid-Cuevas Spain
Antonis Argyros Greece
Atsushi Yamashita Japan
Ryo Kurazume Japan
Alper Yılmaz United States
Jun Miura Japan
Luis M. Bergasa Spain
Jizhong Xiao United States
Sergio Garrido-Jurado Spain
Manuel J. Marín‐Jiménez relative to Rafael Muñoz‐Salinas Spain Rafael Muñoz‐Salinas's profile →
Citations per field
00.5×1.5×
Rafael Muñoz‐Salinas · 1×
Citations per year

Countries citing papers authored by Manuel J. Marín‐Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Manuel J. Marín‐Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel J. Marín‐Jiménez. 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 Manuel J. Marín‐Jiménez. The network helps show where Manuel J. Marín‐Jiménez may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Manuel J. Marín‐Jiménez, 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 Manuel J. Marín‐Jiménez Line = papers co-authored together Manuel J. Marín‐Jiménez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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12 202318
13 20203
14 201911
15 201941
16 201634
17 201318
18 20097
19
Oxford/IIIT TRECVID 2008 - Notebook paper
20082
20
Oxford TRECVid 2007 \u2013 Notebook paper.
20071

About Manuel J. Marín‐Jiménez

Manuel J. Marín‐Jiménez is a scholar working on Computer Vision and Pattern Recognition, Geology and Human-Computer Interaction, having authored 65 papers that have together received 3.5k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (38 papers), Video Surveillance and Tracking Methods (29 papers), Gait Recognition and Analysis (20 papers), Robotics and Sensor-Based Localization (11 papers), Anomaly Detection Techniques and Applications (10 papers), Indoor and Outdoor Localization Technologies (7 papers), Advanced Vision and Imaging (6 papers) and 3D Surveying and Cultural Heritage (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Human-Computer Interaction (561 citations) and Geology (256 citations). Manuel J. Marín‐Jiménez has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Rafael Muñoz‐Salinas, Sergio Garrido-Jurado, F.J. Madrid-Cuevas, Andrew Zisserman, Vittorio Ferrari, Vittorio Ferrari, Francisco M. Castro, Nicolás Guil, R. Medina-Carnicer and Marcin Eichner. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

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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