N. Muñoz‐Ferreiro

25 total papers · 454 total citations
22 papers, 359 citations indexed

About

N. Muñoz‐Ferreiro is a scholar working on Food Science, Nutrition and Dietetics and Animal Science and Zoology. According to data from OpenAlex, N. Muñoz‐Ferreiro has authored 22 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Food Science, 8 papers in Nutrition and Dietetics and 5 papers in Animal Science and Zoology. Recurrent topics in N. Muñoz‐Ferreiro's work include Sensory Analysis and Statistical Methods (8 papers), Proteins in Food Systems (8 papers) and Meat and Animal Product Quality (5 papers). N. Muñoz‐Ferreiro is often cited by papers focused on Sensory Analysis and Statistical Methods (8 papers), Proteins in Food Systems (8 papers) and Meat and Animal Product Quality (5 papers). N. Muñoz‐Ferreiro collaborates with scholars based in Spain, Brazil and Mexico. N. Muñoz‐Ferreiro's co-authors include Ma Ángeles Romero‐Rodríguez, Ma Lourdes Vázquez‐Odériz, Manuel Vázquez, A. Rigueiro‐Rodríguez, M. R. Mosquera‐Losada, José Javier Santiago-Freijanes, N. Ferreiro‐Domínguez, M. R. Mosquera‐Losada, Michele Miranda and Marta López‐Alonso and has published in prestigious journals such as Waste Management, Journal of the Science of Food and Agriculture and LWT.

In The Last Decade

N. Muñoz‐Ferreiro

22 papers receiving 354 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Muñoz‐Ferreiro 196 85 58 53 38 22 359
Andi Febrisiantosa 239 1.2× 95 1.1× 44 0.8× 49 0.9× 24 0.6× 37 360
C. W. Blessin 56 0.3× 100 1.2× 39 0.7× 132 2.5× 13 0.3× 26 351
Marek Zdaniewicz 235 1.2× 84 1.0× 33 0.6× 136 2.6× 10 0.3× 32 355
Defu Tang 62 0.3× 38 0.4× 126 2.2× 39 0.7× 14 0.4× 35 316
Kacem Mourad 147 0.8× 61 0.7× 18 0.3× 100 1.9× 32 0.8× 16 309
Luděk Hřivna 173 0.9× 129 1.5× 22 0.4× 109 2.1× 7 0.2× 47 368
Qi An 97 0.5× 25 0.3× 19 0.3× 113 2.1× 15 0.4× 17 375
Luca Ferrari 103 0.5× 73 0.9× 71 1.2× 96 1.8× 20 0.5× 17 373
A. A. L. Furtado 105 0.5× 33 0.4× 54 0.9× 60 1.1× 16 0.4× 34 293
Zhiwen Ge 141 0.7× 75 0.9× 11 0.2× 101 1.9× 11 0.3× 32 388

Countries citing papers authored by N. Muñoz‐Ferreiro

Since Specialization
Citations

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

Fields of papers citing papers by N. Muñoz‐Ferreiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Muñoz‐Ferreiro

This figure shows the co-authorship network connecting the top 25 collaborators of N. Muñoz‐Ferreiro. A scholar is included among the top collaborators of N. Muñoz‐Ferreiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Muñoz‐Ferreiro. N. Muñoz‐Ferreiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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