Alberto Olmo

524 citations
47 papers · 360 · h-index 11

Impact in

Papers in

Alberto Olmo

44 papers receiving 349 citations

Peers

Alberto Olmo
Comparison fields: 5 of 97
  • Transplantation 12
  • Biomedical Engineering 163
  • Cellular and Molecular Neuroscience 63
  • Bioengineering 18
  • Obstetrics and Gynecology 19
Replace Nicoleta Anton with:
Nicoleta Anton Romania
Mohamed El Sharkawy Egypt
Chenning Liu China
Thuy Thi Thanh Pham United States
Hiromichi OBARA Japan
Jeong-Seon Lee South Korea
Qianhao Li China
G. Li China
Nursakinah Suardi Malaysia
Marie Semmler Germany
Alberto Olmo relative to Nicoleta Anton Romania Nicoleta Anton's profile →
Citations per field
00.5×
Nicoleta Anton · 1×
Citations per year

Countries citing papers authored by Alberto Olmo

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Olmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201248
2 201835
3 201832
4 199432
5 201518
6 201018
7 200715
8 199814
9 202013
10 201713
11 201810
12 20199
13 20198
14 20217
15 20236
16 20206
17 20166
18 20226
19 19985
20 20205

About Alberto Olmo

Alberto Olmo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 360 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (15 papers), Electrical and Bioimpedance Tomography (13 papers), Body Composition Measurement Techniques (9 papers), Neuroscience and Neural Engineering (9 papers), 3D Printing in Biomedical Research (9 papers), Muscle activation and electromyography studies (5 papers), Hemodynamic Monitoring and Therapy (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Transplantation (12 citations), Biomedical Engineering (163 citations), Cellular and Molecular Neuroscience (63 citations), Bioengineering (18 citations) and Obstetrics and Gynecology (19 citations). Alberto Olmo has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alberto Yúfera, Paula Daza, Gloria Huertas, Pablo Pérez, Ramón Risco, María E. Martín, Octavio Rivera-Romero, Roberto Baena-Gallé, Rocío Múñoz‐Hernández and Daniel V. Santi. Their work appears in journals such as Sensors, Cryobiology, Reviews in Cardiovascular Medicine, Scientific Reports and JMIR mhealth and uhealth.

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