M.P. Malumbres

1.6k citations
107 papers · 1.0k indexed · h-index 19

Impact in

Papers in

M.P. Malumbres

97 papers receiving 954 citations

Peers

M.P. Malumbres
Comparison fields: 5 of 87
  • Signal Processing 255
  • Computer Networks and Communications 489
  • Hardware and Architecture 132
  • Computer Vision and Pattern Recognition 333
  • Ocean Engineering 89
Replace Yun Liang with:
Yun Liang China
Yuping Zhao China
Philo Juang United States
Limin Zhang China
Jiansong Zhang China
Hidekazu Oki United States
Marco Álvarez United States
Brijendra Kumar Joshi India
H. S. Jamadagni India
Beatriz Prieto Spain
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Citations per field
00.5×9.8×
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Citations per year

Countries citing papers authored by M.P. Malumbres

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Malumbres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200656
2 200256
3 201254
4 201349
5 201234
6 200032
7 200632
8 200831
9 200930
10 200430
11 200226
12 201622
13 200822
14 200721
15 200920
16 201420
17
Efficient implementation of tree-based multicast routing for distributed shared-memory multiprocessors
199619
18 200419
19 201218
20 200217

About M.P. Malumbres

M.P. Malumbres is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 107 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (35 papers), Video Coding and Compression Technologies (29 papers), Mobile Ad Hoc Networks (21 papers), Image and Signal Denoising Methods (20 papers), Advanced Vision and Imaging (15 papers), Wireless Networks and Protocols (15 papers), Opportunistic and Delay-Tolerant Networks (14 papers) and Interconnection Networks and Systems (14 papers). The work is most often cited by research in Signal Processing (255 citations), Computer Networks and Communications (489 citations), Hardware and Architecture (132 citations), Computer Vision and Pattern Recognition (333 citations) and Ocean Engineering (89 citations). M.P. Malumbres has collaborated with scholars based in Spain, United States and India. Frequent co-authors include Otoniel López-Granado, J. Duato, Carlos T. Calafate, J. Oliver, Pietro Manzoni, Héctor Migallón, Josep Torrellas, A. Rodríguez, Antonio J. González and Pedro López. Their work appears in journals such as Sensors, Electronics, IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication and IEEE Transactions on Parallel and Distributed Systems.

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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