Manuel Ujaldón

960 citations
47 papers · 581 · h-index 13

Impact in

Papers in

Manuel Ujaldón

45 papers receiving 559 citations

Peers

Manuel Ujaldón
Comparison fields: 5 of 80
  • Hardware and Architecture 128
  • Computer Vision and Pattern Recognition 190
  • Computer Networks and Communications 165
  • Computational Theory and Mathematics 93
  • Artificial Intelligence 182
Replace Yoshiki Yamaguchi with:
Yoshiki Yamaguchi Japan
L.O. Hertzberger Netherlands
Kenichi Hagihara Japan
D.E. Van den Bout United States
Anne C. Elster Norway
Alí Emre Pusane Türkiye
Chi-Jen Lu Taiwan
Tong Geng United States
Tianyi David Han Canada
Chunyuan Zhang China
Manuel Ujaldón relative to Yoshiki Yamaguchi Japan Yoshiki Yamaguchi's profile →
Citations per field
00.5×3.3×
Yoshiki Yamaguchi · 1×
Citations per year

Countries citing papers authored by Manuel Ujaldón

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Ujaldón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201296
2 200869
3 199741
4 201631
5 200828
6 201027
7 200825
8 199624
9 201119
10 200718
11 201117
12 200715
13 200914
14 201212
15 199611
16 200710
17 19959
18 20148
19 20138
20 20148

About Manuel Ujaldón

Manuel Ujaldón is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 47 papers that have together received 581 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Medical Image Segmentation Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Distributed and Parallel Computing Systems (7 papers), Matrix Theory and Algorithms (5 papers), Advanced Data Storage Technologies (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (128 citations), Computer Vision and Pattern Recognition (190 citations), Computer Networks and Communications (165 citations), Computational Theory and Mathematics (93 citations) and Artificial Intelligence (182 citations). Manuel Ujaldón has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include José M. Cecilia, José M. Garcı́a, Martyn Amos, Emilio L. Zapata, Ümit V. Çatalyürek, Andy Nisbet, Francisco D. Igual, Rafael Mayo, Juan Fernández and Joel Saltz. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Systems, International Journal for Numerical Methods in Biomedical Engineering, BMC Bioinformatics and The International Journal of High Performance Computing Applications.

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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