M.C. Ortiz

4.8k citations
176 papers · 3.5k · h-index 33

Impact in

    • Spectroscopy and Chemometric Analyses
    • Analytical chemistry methods development
    • Analytical Chemistry and Chromatography

Papers in

M.C. Ortiz

174 papers receiving 3.4k citations

Peers

M.C. Ortiz
Comparison fields: 5 of 167
  • Analytical Chemistry 1.8k
  • Spectroscopy 906
  • Electrochemistry 307
  • Food Science 743
  • Industrial and Manufacturing Engineering 340
Replace L.A. Sarabia with:
L.A. Sarabia Spain
J. Smeyers–Verbeke Belgium
Luis Cuadros-Rodrı́guez Spain
M. Pilar Callao Spain
Riccardo Leardi Italy
Márcia M. C. Ferreira Brazil
Douglas N. Rutledge France
Davide Ballabio Italy
Jure Zupan Slovenia
Peter de B. Harrington United States
M.C. Ortiz relative to L.A. Sarabia Spain L.A. Sarabia's profile →
Citations per field
00.5×1.5×
L.A. Sarabia · 1×
Citations per year

Countries citing papers authored by M.C. Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Ortiz. 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 M.C. Ortiz. The network helps show where M.C. Ortiz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004163
2 1994122
3 2003102
4 201093
5 199776
6 200371
7 200770
8 200466
9 200361
10 200555
11 201051
12 201748
13 200648
14 201145
15 199743
16 199943
17 200343
18 200941
19 200839
20 199339

About M.C. Ortiz

M.C. Ortiz is a scholar working on Analytical Chemistry, Food Science, Spectroscopy, Biomedical Engineering and Animal Science and Zoology, having authored 176 papers that have together received 3.5k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (91 papers), Analytical Chemistry and Chromatography (50 papers), Pesticide Residue Analysis and Safety (41 papers), Advanced Chemical Sensor Technologies (30 papers), Advanced Statistical Methods and Models (16 papers), Water Quality Monitoring and Analysis (15 papers), Meat and Animal Product Quality (14 papers) and Fault Detection and Control Systems (13 papers). The work is most often cited by research in Analytical Chemistry (1.8k citations), Spectroscopy (906 citations), Electrochemistry (307 citations), Food Science (743 citations) and Industrial and Manufacturing Engineering (340 citations). M.C. Ortiz has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include L.A. Sarabia, Ana Herrero, M.S. Sánchez, M. Julia Arcos‐Martínez, S. Sanllorente, Inmaculada García-Romera, David Arroyo-Manzano, M. D. Luque de Castro, Noelia Rodríguez and Reinaldo Pis Diez. Their work appears in journals such as Analytica Chimica Acta, Chemometrics and Intelligent Laboratory Systems, Talanta, Journal of Chromatography A and Analytical and Bioanalytical Chemistry.

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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