Eduardo Diez

907 citations
26 papers · 710 indexed · h-index 9

Eduardo Diez

19 papers receiving 696 citations

Peers

Eduardo Diez
Comparison fields: 5 of 97
  • Endocrinology 198
  • Immunology 244
  • Human-Computer Interaction 48
  • Industrial and Manufacturing Engineering 54
  • Molecular Biology 340
Replace Attila Magyar with:
Attila Magyar Hungary
Aparna Srinivasan United States
Takahiro Murata United States
Heather A. Parker New Zealand
Tsuyoshi Matsuo Japan
Y G He United States
Marko Vuskovic United States
Qin Qin China
Sung-Kwon Kim United States
Eduardo Diez relative to Attila Magyar Hungary Attila Magyar's profile →
Citations per field
00.5×10×13.5×
Attila Magyar · 1×
Citations per year

Countries citing papers authored by Eduardo Diez

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Diez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20210
2
Cooperación nuclear y espacial. El caso argentino-brasileño: de la competencia a la colaboración
20161
3 201363
4
Instrumentos para la gestión de proyectos de explotación de información
20131
5 201328
6
ASEGURAMIENTO DE LA CALIDAD PARA PROYECTOS DE EXPLOTACIÓN DE INFORMACIÓN
20121
7 20116
8
[Otomastoiditis as an initial clinical manifestation of Wegener's granulomatosis].
20110
9 20105
10
Estimación basada en Escenarios Principales
20070
11
Tool Selection Methodology in Data Mining.
20060
12 20065
13
Metodología de selección de herramientas de explotacion de datos
20051
14
Gestión asistida de documentos en una metodología de explotación de información
20051
15 200542
16
Generador del mapa de actividades de un proyecto de desarrollo de software
20031
17 2002228
18 200197
19 200059
20 199719

About Eduardo Diez

Eduardo Diez is a scholar working on Endocrinology, Software, Parasitology, Occupational Therapy and Molecular Medicine, having authored 26 papers that have together received 710 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (4 papers), Engineering and Information Technology (4 papers), Vibrio bacteria research studies (2 papers), melanin and skin pigmentation (2 papers), Retinal Development and Disorders (2 papers), Bacterial Genetics and Biotechnology (2 papers), Escherichia coli research studies (2 papers) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Endocrinology (198 citations), Immunology (244 citations), Human-Computer Interaction (48 citations), Industrial and Manufacturing Engineering (54 citations) and Molecular Biology (340 citations). Eduardo Diez has collaborated with scholars based in Canada, United States and Argentina. Frequent co-authors include Philippe Gros, Zahra Yaraghi, Susan A. Gauthier, Michel L. Tremblay, Seung Hwan Lee, Silvia M. Vidal, Rubén Usamentiaga, Daniel F. García, Luis Pérez and Danielle Malo. Their work appears in journals such as European Psychiatry, Genomics, Trends in Microbiology, Nature Genetics and Computers in Industry.

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

Rankless by CCL
2026