M.A. Oliver

3.1k citations
62 papers · 2.4k indexed · h-index 29

M.A. Oliver

60 papers receiving 2.2k citations

Peers

M.A. Oliver
Comparison fields: 5 of 107
  • Animal Science and Zoology 1.9k
  • Small Animals 524
  • Genetics 553
  • Food Science 339
  • Sensory Systems 71
Replace M. Gispert with:
M. Gispert Spain
Rod Polkinghorne Australia
S. D. Shackelford United States
D. L. VanOverbeke United States
C. B. Ramsey United States
D.N. D’Souza Australia
R.H. Jacob Australia
J.L. Olleta Spain
D. M. Wulf United States
S. C. Seideman United States
M.A. Oliver relative to M. Gispert Spain M. Gispert's profile →
Citations per field
00.5×1.5×
M. Gispert · 1×
Citations per year

Countries citing papers authored by M.A. Oliver

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20231
4 20222
5 202210
6 201717
7 201614
8 201515
9 201522
10
Eleccions mitjançant el vot d'aprovació. El mètode de Phragmén i algunes variants
20151
11 201320
12 201036
13 200897
14 200868
15 200528
16 200584
17 200368
18 200296
19 200096
20 2000128

About M.A. Oliver

M.A. Oliver is a scholar working on Animal Science and Zoology, Small Animals, Food Science, Tourism, Leisure and Hospitality Management and Immunology and Allergy, having authored 62 papers that have together received 2.4k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (43 papers), Animal Nutrition and Physiology (24 papers), Animal Behavior and Welfare Studies (10 papers), Sensory Analysis and Statistical Methods (10 papers), Genetic and phenotypic traits in livestock (7 papers), Pharmacological Effects and Assays (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Animal Science and Zoology (1.9k citations), Small Animals (524 citations), Genetics (553 citations), Food Science (339 citations) and Sensory Systems (71 citations). M.A. Oliver has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include M. Gispert, A. Diestre, María Dolors Guárdia, J. Estany, A. Blasco, Isabel Dı́az, S. Balasch, M. Pla, Antonio Velarde and Miguel Pérez‐Enciso. Their work appears in journals such as Meat Science, Livestock Science, Journal of Animal Science, Food Chemistry and ImmunoHorizons.

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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