Pedro Tomás

820 citations
71 papers · 505 · h-index 14

Impact in

Papers in

Pedro Tomás

62 papers receiving 495 citations

Peers

Pedro Tomás
Comparison fields: 5 of 75
  • Hardware and Architecture 226
  • Computer Networks and Communications 152
  • Computer Vision and Pattern Recognition 91
  • Signal Processing 40
  • Electrical and Electronic Engineering 170
Replace Amr T. Abdel-Hamid with:
Amr T. Abdel-Hamid Egypt
Daniel Ziener Germany
Răzvan Nane Netherlands
Guohao Dai China
Weixia Xu China
Yuanwu Lei China
Avinash Lingamneni United States
M. B. Abdelhalim Egypt
Pedro Tomás relative to Amr T. Abdel-Hamid Egypt Amr T. Abdel-Hamid's profile →
Citations per field
00.5×1.5×2.3×
Amr T. Abdel-Hamid · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201835
2 201832
3 200528
4 202326
5 201522
6 201922
7 201421
8 202020
9 202219
10 201518
11 202118
12 201918
13 202115
14 201714
15 201513
16 201513
17 202011
18 20109
19 20138
20 20198

About Pedro Tomás

Pedro Tomás is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 71 papers that have together received 505 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (37 papers), Advanced Data Storage Technologies (18 papers), Advanced Memory and Neural Computing (12 papers), Embedded Systems Design Techniques (10 papers), Interconnection Networks and Systems (7 papers), Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Hardware and Architecture (226 citations), Computer Networks and Communications (152 citations), Computer Vision and Pattern Recognition (91 citations), Signal Processing (40 citations) and Electrical and Electronic Engineering (170 citations). Pedro Tomás has collaborated with scholars based in Portugal, United States and Switzerland. Frequent co-authors include Nuno Roma, Aleksandar Ilić, Nuno Neves, Leonel Sousa, Helena Aidos, Gabriel Falcão, Nuno C. Garcia, M.S. Piedade, Frederico Pratas and Mamede de Carvalho. 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, IEEE Transactions on Circuits & Systems II Express Briefs and Nature Communications.

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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