Pedro Tomás

891 citations
86 papers · 626 · h-index 14

Impact in

Papers in

Pedro Tomás

73 papers receiving 620 citations

Peers

Pedro Tomás
Comparison fields: 5 of 75
  • Hardware and Architecture 294
  • Computer Networks and Communications 195
  • Computer Vision and Pattern Recognition 100
  • Signal Processing 41
  • Electrical and Electronic Engineering 193
Replace M. Nirmala Devi with:
M. Nirmala Devi India
Michiko Inoue Japan
Norbert Felber Switzerland
Nikolaos Athanasios Anagnostopoulos Germany
Jintao Zhang China
Amr Talaat Abdel-Hamid Egypt
Daniel Ziener Germany
Eric Petit France
Răzvan Nane Netherlands
Pedro Tomás relative to M. Nirmala Devi India M. Nirmala Devi's profile →
Citations per field
00.5×2×3×4.0×
M. Nirmala Devi · 1×
Citations per year

Countries citing papers authored by Pedro Tomás

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Tomás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201836
3 200535
4 202333
5 202027
6 201525
7 201925
8 202124
9 201424
10 201921
11 201520
12 202220
13 201717
14 202117
15 201514
16 201514
17 201412
18 202011
19 20109
20 20149

About Pedro Tomás

Pedro Tomás is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Cognitive Neuroscience and Signal Processing, having authored 86 papers that have together received 626 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (46 papers), Advanced Data Storage Technologies (23 papers), Advanced Memory and Neural Computing (14 papers), Embedded Systems Design Techniques (11 papers), Interconnection Networks and Systems (9 papers), Cloud Computing and Resource Management (8 papers), Distributed and Parallel Computing Systems (8 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Hardware and Architecture (294 citations), Computer Networks and Communications (195 citations), Computer Vision and Pattern Recognition (100 citations), Signal Processing (41 citations) and Electrical and Electronic Engineering (193 citations). Pedro Tomás has collaborated with scholars based in Portugal, Spain and United States. Frequent co-authors include Nuno Roma, Aleksandar D. Ilic, Nuno Neves, Leonel A. Sousa, Helena Aidos, Gabriel Falcão, Frederico Pratas, Nuno C. Garcia, Mário A. T. Figueiredo and M.S. Piedade. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, The International Journal of High Performance Computing Applications, IEEE Access, Expert Systems with Applications and Parallel Computing.

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.

Explore authors with similar magnitude of impact