Manuel Ujaldón

955 total citations
47 papers, 581 citations indexed

About

Manuel Ujaldón is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Manuel Ujaldón has authored 47 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Hardware and Architecture and 14 papers in Computer Networks and Communications. Recurrent topics in Manuel Ujaldón's work include Parallel Computing and Optimization Techniques (15 papers), Medical Image Segmentation Techniques (10 papers) and Image Retrieval and Classification Techniques (7 papers). Manuel Ujaldón is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Medical Image Segmentation Techniques (10 papers) and Image Retrieval and Classification Techniques (7 papers). Manuel Ujaldón collaborates with scholars based in Spain, United States and United Kingdom. Manuel Ujaldón's 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 and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition Letters and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Manuel Ujaldón

45 papers receiving 559 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manuel Ujaldón Spain 13 193 185 165 128 93 47 581
Fumihiko Ino Japan 15 235 1.2× 105 0.6× 228 1.4× 192 1.5× 22 0.2× 72 598
Kenichi Hagihara Japan 17 229 1.2× 139 0.8× 474 2.9× 312 2.4× 51 0.5× 101 928
Mohamed Wahib Japan 12 88 0.5× 139 0.8× 122 0.7× 124 1.0× 51 0.5× 55 403
Yoshiki Yamaguchi Japan 11 130 0.7× 141 0.8× 180 1.1× 211 1.6× 28 0.3× 77 570
Jyh‐Charn Liu United States 13 338 1.8× 135 0.7× 191 1.2× 143 1.1× 59 0.6× 56 745
Tao B. Schardl United States 11 142 0.7× 150 0.8× 298 1.8× 260 2.0× 80 0.9× 27 644
Jyrki Katajainen Denmark 14 154 0.8× 284 1.5× 181 1.1× 71 0.6× 204 2.2× 60 678
Canqun Yang China 14 213 1.1× 186 1.0× 322 2.0× 282 2.2× 83 0.9× 84 904
Minghai Qin United States 11 293 1.5× 216 1.2× 236 1.4× 24 0.2× 86 0.9× 42 709
Wangdong Yang China 12 145 0.8× 209 1.1× 236 1.4× 240 1.9× 66 0.7× 52 670

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-authorship network of co-authors of Manuel Ujaldón

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Ujaldón. A scholar is included among the top collaborators of Manuel Ujaldón based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Ujaldón. Manuel Ujaldón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sandes, Edans F. O., et al.. (2018). DNA sequences alignment in multi-GPUs: acceleration and energy payoff. BMC Bioinformatics. 19(S14). 421–421. 4 indexed citations
2.
Cecilia, José M., et al.. (2016). Dynamic load balancing on heterogeneous clusters for parallel ant colony optimization. Cluster Computing. 19(1). 1–11. 31 indexed citations
3.
Ujaldón, Manuel. (2016). HPC Accelerators with 3D Memory. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 320–328. 8 indexed citations
4.
Moscato, Pablo, et al.. (2013). Efficient data partitioning for the GPU computation of moment functions. Journal of Parallel and Distributed Computing. 74(1). 1994–2004. 7 indexed citations
5.
Cooper, Lee, Kun Huang, & Manuel Ujaldón. (2011). Parallel Automatic Registration of Large Scale Microscopic Images on Multiprocessor CPUs and GPUs. 1367–1376. 2 indexed citations
6.
Bernabé, Gregorio, et al.. (2011). The 2D wavelet transform on emerging architectures: GPUs and multicores. Journal of Real-Time Image Processing. 7(3). 145–152. 19 indexed citations
7.
Cecilia, José M., José M. Garcı́a, Ginés D. Guerrero, et al.. (2011). The GPU on the simulation of cellular computing models. Soft Computing. 16(2). 231–246. 17 indexed citations
8.
Bernabé, Gregorio, et al.. (2010). Parallel 3D fast wavelet transform on manycore GPUs and multicore CPUs. Procedia Computer Science. 1(1). 1101–1110. 27 indexed citations
9.
Sertel, Olcay, et al.. (2009). Stroma classification for neuroblastoma on graphics processors. International Journal of Data Mining and Bioinformatics. 3(3). 280–280. 14 indexed citations
10.
Ujaldón, Manuel. (2009). GPU acceleration of Zernike moments for large-scale images. 1–8. 6 indexed citations
11.
Ujaldón, Manuel, et al.. (2008). Non-rigid Registration for Large Sets of Microscopic Images on Graphics Processors. Journal of Signal Processing Systems. 55(1-3). 229–250. 28 indexed citations
12.
Guil, Nicolás, et al.. (2008). Recognition of circular patterns on GPUs: Performance analysis and contributions. Journal of Parallel and Distributed Computing. 68(10). 1329–1338. 4 indexed citations
13.
Ujaldón, Manuel, et al.. (2007). On the computation of the Circle Hough Transform by a GPU rasterizer. Pattern Recognition Letters. 29(3). 309–318. 15 indexed citations
14.
Sertel, Olcay, et al.. (2007). Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. 78–88. 18 indexed citations
15.
Ujaldón, Manuel & Joel Saltz. (2006). The GPU on irregular computing: Performance issues and contributions. 442–450. 3 indexed citations
16.
Ujaldón, Manuel & Joel Saltz. (2005). Exploiting Parallelism on Irregular Applications Using the GPU. 35(3). 639–646. 2 indexed citations
17.
Ujaldón, Manuel, Shamik D. Sharma, & Joel Saltz. (1997). Page replacement using marginal loss functions. 1–12. 1 indexed citations
18.
Ujaldón, Manuel, Shamik D. Sharma, Emilio L. Zapata, & Joel Saltz. (1996). Experimental evaluation of efficient sparse matrix distributions. 78–85. 11 indexed citations
19.
Ujaldón, Manuel, Emilio L. Zapata, Shamik D. Sharma, & Joel Saltz. (1996). Parallelization Techniques for Sparse Matrix Applications. Journal of Parallel and Distributed Computing. 38(2). 256–266. 24 indexed citations
20.
Enciso, E., et al.. (1994). Molecular-dynamics simulation on simple fluids: Departure from linearized hydrodynamic behavior of the dynamical structure factor. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 50(2). 1336–1340. 8 indexed citations

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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