Marı́a Muñoz

95 papers receiving 2.7k citations

Peers

Marı́a Muñoz
Comparison fields: 5 of 105
  • Energy Engineering and Power Technology 223
  • Catalysis 466
  • Electrochemistry 268
  • Bioengineering 174
  • Materials Chemistry 1.3k
Replace Altaf Hussain Pandith with:
Altaf Hussain Pandith India
Robert W. Coughlin United States
Jimmy Yun China
Taniya Manzoor India
Chuanhui Huang China
Jihui Gao China
Fabián Suárez‐García Spain
Lin Luo China
Toshishige M. Suzuki Japan
Mohamed Abdel Salam Saudi Arabia
Marı́a Muñoz relative to Altaf Hussain Pandith India Altaf Hussain Pandith's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marı́a Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007255
2 2008154
3 2010146
4 2007121
5 2009121
6 2009120
7 2011103
8 202080
9 201069
10 200359
11 200655
12 200049
13 201246
14 200043
15 200640
16 199839
17 200637
18 200536
19 200134
20 199333

About Marı́a Muñoz

Marı́a Muñoz is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Organic Chemistry, Biomedical Engineering and Mechanical Engineering, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Extraction and Separation Processes (23 papers), Nanomaterials for catalytic reactions (22 papers), Electrochemical Analysis and Applications (18 papers), Analytical Chemistry and Sensors (18 papers), Electrochemical sensors and biosensors (15 papers), Conducting polymers and applications (12 papers), Analytical chemistry methods development (11 papers) and Membrane-based Ion Separation Techniques (11 papers). The work is most often cited by research in Energy Engineering and Power Technology (223 citations), Catalysis (466 citations), Electrochemistry (268 citations), Bioengineering (174 citations) and Materials Chemistry (1.3k citations). Marı́a Muñoz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Jorge Macanás, Lluís Soler, Juan Casado, Dmitri Muraviev, Angélica María Candela, Manuel Valiente, Zhi Gang Wu, Josefina de Gyves, Cristina Palet and María Ramos‐Payán. Their work appears in journals such as Analytica Chimica Acta, Journal of Membrane Science, Nanoscale Research Letters, RSC Advances and International Journal of Hydrogen Energy.

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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