Anna Alba

480 citations
17 papers · 283 · h-index 10

Impact in

Papers in

Anna Alba

17 papers receiving 274 citations

Peers

Anna Alba
Comparison fields: 5 of 49
  • Agronomy and Crop Science 176
  • Infectious Diseases 150
  • Ecology, Evolution, Behavior and Systematics 102
  • Animal Science and Zoology 48
  • Epidemiology 82
Replace Dae‐Sung Yoo with:
Dae‐Sung Yoo South Korea
M. Nielen Netherlands
C. Zepeda United States
Caroline Sharpe United Kingdom
Amy H. Delgado United States
Olajide A. Owolodun Nigeria
Lijun Xu China
Martin Beer Germany
Claire Colenutt United Kingdom
Kinga Urbaniak Poland
Anna Alba relative to Dae‐Sung Yoo South Korea Dae‐Sung Yoo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna Alba

Since Specialization
Citations

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

Fields of papers citing papers by Anna Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200850
2 201736
3 201031
4 201131
5 201524
6 201123
7 201820
8 201217
9 201111
10 20139
11 20168
12 20168
13 20177
14 20124
15 20172
16 20091
17
Enhancing syndromic surveillance for fallen dairy cattle: modelling and detecting mortality peaks at different administrative levels
20171

About Anna Alba

Anna Alba is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Epidemiology, having authored 17 papers that have together received 283 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (6 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Influenza Virus Research Studies (3 papers), Viral Infections and Vectors (3 papers), Agriculture and Farm Safety (2 papers) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Agronomy and Crop Science (176 citations), Infectious Diseases (150 citations), Ecology, Evolution, Behavior and Systematics (102 citations), Animal Science and Zoology (48 citations) and Epidemiology (82 citations). Anna Alba has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Sebastián Napp, Alberto Allepuz, Jordi Casal, Ignacio García‐Bocanegra, Pedro Puig, Antonio Arenas, Núria Busquets, Natàlia Majó, Anselmo Perea and Andrés M. Perez. Their work appears in journals such as PLoS ONE, Journal of Veterinary Diagnostic Investigation, The Veterinary Journal, Virus Research and Frontiers in Veterinary Science.

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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