Fernando Alda

1.5k citations
49 papers · 955 · h-index 20

Impact in

Papers in

    • Genetic diversity and population structure 26
    • Genetic and phenotypic traits in livestock 6
    • Fish biology, ecology, and behavior 18
    • Fish Ecology and Management Studies 10
    • Ichthyology and Marine Biology 8

Fernando Alda

48 papers receiving 940 citations

Peers

Fernando Alda
Comparison fields: 5 of 63
  • Nature and Landscape Conservation 411
  • Aquatic Science 237
  • Ecological Modeling 62
  • Ecology 336
  • Genetics 351
Replace Dietmar Lieckfeldt with:
Dietmar Lieckfeldt Germany
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Marcelo Vallinoto Brazil
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Thomas B. Smith United States
Jonathan Stuart Ready Brazil
Sarah Lutteropp Germany
Andres Aguilar United States
Albert Martı́nez Silvestre Spain
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Fernando Alda relative to Dietmar Lieckfeldt Germany Dietmar Lieckfeldt's profile →
Citations per field
00.5×2.9×
Dietmar Lieckfeldt · 1×
Citations per year

Countries citing papers authored by Fernando Alda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Alda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201760
2 201857
3 201552
4 201252
5 201151
6 201045
7 201737
8 200835
9 201033
10 201131
11 201730
12 201630
13 201430
14 201129
15 201529
16 202027
17 201227
18 202125
19 200623
20 201121

About Fernando Alda

Fernando Alda is a scholar working on Genetics, Nature and Landscape Conservation, Ecology, Aquatic Science and Molecular Biology, having authored 49 papers that have together received 955 indexed citations. Recurring topics across this work include Genetic diversity and population structure (26 papers), Fish biology, ecology, and behavior (18 papers), Fish Biology and Ecology Studies (12 papers), Wildlife Ecology and Conservation (11 papers), Fish Ecology and Management Studies (10 papers), Ichthyology and Marine Biology (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Nature and Landscape Conservation (411 citations), Aquatic Science (237 citations), Ecological Modeling (62 citations), Ecology (336 citations) and Genetics (351 citations). Fernando Alda has collaborated with scholars based in United States, Spain and Panama. Frequent co-authors include Ignacio Doadrio, Eldredge Bermingham, Prosanta Chakrabarty, Jesús T. García, William B. Ludt, Omár Domínguez‐Domínguez, Brant C. Faircloth, Michael E. Alfaro, James S. Albert and Rüdiger Krahe. Their work appears in journals such as PLoS ONE, Molecular Phylogenetics and Evolution, Animal Conservation, Systematic Biology and BMC Evolutionary Biology.

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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