Manuel Rivas

526 citations
31 papers · 448 · h-index 13

Impact in

Papers in

Manuel Rivas

31 papers receiving 440 citations

Peers

Manuel Rivas
Comparison fields: 5 of 89
  • Biomaterials 85
  • Process Chemistry and Technology 17
  • Orthodontics 22
  • Cellular and Molecular Neuroscience 67
  • Biomedical Engineering 158
Replace Eeseul Shin with:
Eeseul Shin South Korea
David Jaroch United States
Xinru Zhao China
Masumi Suzuki Japan
Zequn Ma China
Dawid Peter Warwas Germany
Yingtong Pan China
Vladimir Bystrov Russia
Hanif Kazerooni Iran
Manuel Rivas relative to Eeseul Shin South Korea Eeseul Shin's profile →
Citations per field
00.5×1.5×1.9×
Eeseul Shin · 1×
Citations per year

Countries citing papers authored by Manuel Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 201442
3 200641
4 201736
5 201428
6 201826
7 201825
8 201820
9 201020
10 201516
11 201216
12 201713
13 200813
14 201912
15 201910
16 20179
17 20178
18 20178
19 20206
20 20176

About Manuel Rivas

Manuel Rivas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 31 papers that have together received 448 indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (10 papers), Advanced Memory and Neural Computing (8 papers), Bone Tissue Engineering Materials (7 papers), Neuroscience and Neural Engineering (6 papers), Acoustic Wave Resonator Technologies (6 papers), CCD and CMOS Imaging Sensors (6 papers), Neural dynamics and brain function (5 papers) and Microwave Dielectric Ceramics Synthesis (4 papers). The work is most often cited by research in Biomaterials (85 citations), Process Chemistry and Technology (17 citations), Orthodontics (22 citations), Cellular and Molecular Neuroscience (67 citations) and Biomedical Engineering (158 citations). Manuel Rivas has collaborated with scholars based in Spain, United States and Mozambique. Frequent co-authors include Carlos Alemán, Luís J. del Valle, Jordi Puiggalı́, Pau Turón, Oscar Bertrán, Alejandro Linares-Barranco, G. Jiménez, F. Gómez-Rodríguez, Jordi Casanovas and Guillem Revilla‐López. Their work appears in journals such as Journal of Applied Physics, Gels, Chemistry - A European Journal, Journal of Crystal Growth and Applied Physics Letters.

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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