L. Matía

21 papers receiving 469 citations

Peers

L. Matía
Comparison fields: 5 of 72
  • Process Chemistry and Technology 39
  • Bioengineering 57
  • Industrial and Manufacturing Engineering 83
  • Radiological and Ultrasound Technology 37
  • Water Science and Technology 103
Replace M. Ottaviani with:
M. Ottaviani Italy
Shulei Tian China
Farrukh Ahmad United States
T.E. Ward United States
Münevver Arısoy Türkiye
Shengkun Dong China
Zhenqiang Xu China
Tae‐Hun Kim South Korea
Zahra Asadgol Iran
Phillip R. Scheuerman United States
L. Matía relative to M. Ottaviani Italy M. Ottaviani's profile →
Citations per field
00.5×7.8×
M. Ottaviani · 1×
Citations per year

Countries citing papers authored by L. Matía

Since Specialization
Citations

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

Fields of papers citing papers by L. Matía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009138
2 201376
3 199936
4 201034
5 200222
6 200921
7 200418
8 200417
9 199916
10 200116
11 199115
12 200713
13 199112
14 200711
15 19959
16 20048
17 19957
18 20076
19 20046
20 20112

About L. Matía

L. Matía is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis, Biomedical Engineering and Process Chemistry and Technology, having authored 21 papers that have together received 484 indexed citations. Recurring topics across this work include Analytical chemistry methods development (5 papers), Advanced Chemical Sensor Technologies (5 papers), Analytical Chemistry and Sensors (4 papers), Water Treatment and Disinfection (4 papers), Odor and Emission Control Technologies (4 papers), Water Quality Monitoring and Analysis (3 papers), Environmental Chemistry and Analysis (3 papers) and Dye analysis and toxicity (2 papers). The work is most often cited by research in Process Chemistry and Technology (39 citations), Bioengineering (57 citations), Industrial and Manufacturing Engineering (83 citations), Radiological and Ultrasound Technology (37 citations) and Water Science and Technology (103 citations). L. Matía has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include R. Devesa, Josep Maria Huguet, Marize Pereira Miagostovich, Rosina Gironés, Néstor Albiñana-Giménez, Byron Calgua, I. Vallés, A. Camacho, Isabel Serrano and J. Alonso. Their work appears in journals such as Water Science & Technology, Analytica Chimica Acta, Journal of Environmental Radioactivity, Analytical Chemistry 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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