Carmen Perich

1.6k citations
41 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Carmen Perich

41 papers receiving 1.1k citations

Peers

Carmen Perich
Comparison fields: 5 of 99
  • Statistics, Probability and Uncertainty 424
  • Physiology 752
  • Statistics and Probability 221
  • Nephrology 166
  • Medical Laboratory Technology 21
Replace Joana Minchinela with:
Joana Minchinela Spain
Virtudes Álvarez Spain
Thomas Røraas Norway
Margarita Sánchez Simón Spain
Carmen Biosca Spain
Carmen Ricós Spain
Mercè Ibarz Spain
Michael P. Cornes United Kingdom
Jean-Claude Libeer Belgium
Alex Katayev United States
Carmen Perich relative to Joana Minchinela Spain Joana Minchinela's profile →
Citations per field
00.5×1.5×
Joana Minchinela · 1×
Citations per year

Countries citing papers authored by Carmen Perich

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Perich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202117
2 202030
3 201928
4 201832
5 201815
6 201615
7 201625
8 201538
9 201319
10 201333
11 201213
12 2007150
13 200529
14 20048
15 200428
16 199913
17 199710
18 19974
19 19961
20 19933

About Carmen Perich

Carmen Perich is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Medical Laboratory Technology, Physiology and Clinical Biochemistry, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (31 papers), Meta-analysis and systematic reviews (21 papers), Statistical Methods in Clinical Trials (14 papers), Health and Medical Research Impacts (5 papers), Pesticide Residue Analysis and Safety (4 papers), Reliability and Agreement in Measurement (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and Quality and Safety in Healthcare (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (424 citations), Physiology (752 citations), Statistics and Probability (221 citations), Nephrology (166 citations) and Medical Laboratory Technology (21 citations). Carmen Perich has collaborated with scholars based in Spain, Norway and Netherlands. Frequent co-authors include Carmen Ricós, Joana Minchinela, Margarita Sánchez Simón, Virtudes Álvarez, Fernando Cava, Pilar Fernández–Calle, Carmen Biosca, Beatriz Boned, Sverre Sandberg and Jorge Díaz–Garzón. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Biochemia Medica.

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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