Miguel Luengo-Oroz

2.5k citations
51 papers · 996 indexed · 1 hit paper · h-index 16
Topics
Cell Image Analysis Techniques (11 papers)Digital Imaging for Blood Diseases (9 papers)COVID-19 epidemiological studies (7 papers)
Partner nations
SpainUnited StatesFrance

In The Last Decade

Miguel Luengo-Oroz

48 papers receiving 967 citations

Hit Papers

Integrating artificial intelligence in drug discovery and...202520262025102030

Peers

Miguel Luengo-Oroz
Comparison fields: 5 of 165
  • Biophysics 254
  • Molecular Biology 215
  • Biomedical Engineering 149
  • Computer Vision and Pattern Recognition 110
  • Cell Biology 94
Replace Jeffrey M. Perkel with:
Jeffrey M. Perkel United States
Melissa Gymrek United States
John H. Phan United States
Daniele Ramazzotti Italy
Soumya Banerjee United Kingdom
David Borland United States
Richard Röttger Denmark
Julian Gilbey United Kingdom
Fernando Loizides United Kingdom
Jaline Gerardin United States
Miguel Luengo-Oroz relative to Jeffrey M. Perkel United States Jeffrey M. Perkel's profile →
Citations per field
00.5×3.0×
Jeffrey M. Perkel · 1×
Citations per year

Countries citing papers authored by Miguel Luengo-Oroz

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Luengo-Oroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Luengo-Oroz. 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 Miguel Luengo-Oroz. The network helps show where Miguel Luengo-Oroz may publish in the future.

Co-authorship network of co-authors of Miguel Luengo-Oroz

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Luengo-Oroz. A scholar is included among the top collaborators of Miguel Luengo-Oroz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miguel Luengo-Oroz. Miguel Luengo-Oroz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 15
4 7
5 12
6 4
7 8
8 29
9 19
10 6
11 23
12 16
13 9
14 23
15 80
16 22
17 277
18 10
19 6
20 7

About Miguel Luengo-Oroz

Miguel Luengo-Oroz is a scholar working on Biophysics, Modeling and Simulation and Health Informatics, having authored 51 papers that have together received 996 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (11 papers), Digital Imaging for Blood Diseases (9 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Biophysics (254 citations), Health Informatics (55 citations) and Aging (20 citations). Miguel Luengo-Oroz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include A. Santos, Emmanuel Faure, Nadine Peyriéras, Paul Bourgine, Louise Duloquin, Thierry Savy, John Frean, Emmanuel Beaurepaire, Xavier Solinas and Delphine Débarre. Their work appears in journals such as Nature, Science and Blood.

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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