Sergio Diz

619 citations
18 papers · 404 · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Antimicrobial Resistance in Staphylococcus
    • HIV/AIDS drug development and treatment

Papers in

Sergio Diz

18 papers receiving 388 citations

Peers

Sergio Diz
Comparison fields: 5 of 83
  • Hepatology 90
  • Infectious Diseases 124
  • Clinical Biochemistry 37
  • Applied Microbiology and Biotechnology 6
  • Molecular Medicine 16
Replace Ja Young Lee with:
Ja Young Lee South Korea
Debika Bhattacharya United States
Chun-Wen Cheng Taiwan
Thomas Gadacz United States
Yoshihiko Ogawa Japan
Vincenzo Vullo Italy
Sushil Kumar India
Prabha Desikan India
Nobuo Saito Japan
Christina König Germany
Sergio Diz relative to Ja Young Lee South Korea Ja Young Lee's profile →
Citations per field
00.5×3.4×
Ja Young Lee · 1×
Citations per year

Countries citing papers authored by Sergio Diz

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Diz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005113
2 200571
3 202257
4 200551
5 202342
6
Epidemiology and clinical features of tuberculosis in immigrants at an infectious diseases department in Madrid.
200722
7 200712
8 200612
9 20248
10 20236
11 20212
12 20032
13 20251
14 20111
15 20201
16 20251
17 20231
18 20231

About Sergio Diz

Sergio Diz is a scholar working on Electrical and Electronic Engineering, Epidemiology, Infectious Diseases, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 404 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (5 papers), Silicon Carbide Semiconductor Technologies (3 papers), Electric Power Systems and Control (3 papers), Railway Systems and Energy Efficiency (2 papers), Microgrid Control and Optimization (2 papers), Anomaly Detection Techniques and Applications (2 papers), HVDC Systems and Fault Protection (2 papers) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Hepatology (90 citations), Infectious Diseases (124 citations), Clinical Biochemistry (37 citations), Applied Microbiology and Biotechnology (6 citations) and Molecular Medicine (16 citations). Sergio Diz has collaborated with scholars based in Spain, Italy and Indonesia. Frequent co-authors include Santiago Moreno, Carmen Quereda, Jesús Fortün, Teresa M. Coque, Rafael Cantón, Francisco J. Rodríguez, Marı́a Jesús Pérez-Elı́as, Elena Loza, Antonio Antela and Rob J. L. Willems. Their work appears in journals such as Multimedia Tools and Applications, IEEE Open Journal of the Industrial Electronics Society, Journal of Viral Hepatitis, IEEE Journal of Emerging and Selected Topics in Power Electronics and Clinical Microbiology and Infection.

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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