Robert Allkinꝉ

1.2k citations
22 papers · 532 · h-index 9

Impact in

Papers in

Robert Allkinꝉ

22 papers receiving 522 citations

Peers

Robert Allkinꝉ
Comparison fields: 5 of 88
  • Ecological Modeling 57
  • Ecology, Evolution, Behavior and Systematics 190
  • Forestry 32
  • Complementary and alternative medicine 61
  • Plant Science 262
Replace Sushim Ranjan Baral with:
Sushim Ranjan Baral United Kingdom
Shreekar Pant India
Fu‐Wu Xing China
Deepika Bhatt India
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Eloy Solano Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Robert Allkinꝉ

Since Specialization
Citations

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

Fields of papers citing papers by Robert Allkinꝉ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013168
2 2008114
3 2016114
4 202029
5 201724
6 201620
7 201910
8 202010
9 19998
10 19927
11 19926
12 19886
13
PLANT NAME RESOURCES: BUILDING BRIDGES WITH USERS
20163
14 20232
15 20152
16 19842
17 19922
18
Transferencia de información taxonómica tradicional a un formato de base de datos
19841
19 19931
20 20231

About Robert Allkinꝉ

Robert Allkinꝉ is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Ecological Modeling and Artificial Intelligence, having authored 22 papers that have together received 532 indexed citations. Recurring topics across this work include Ethnobotanical and Medicinal Plants Studies (6 papers), Species Distribution and Climate Change (4 papers), Botanical Studies and Applications (4 papers), Genomics and Phylogenetic Studies (3 papers), Semantic Web and Ontologies (3 papers), Plant and animal studies (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Botany and Geology in Latin America and Caribbean (2 papers). The work is most often cited by research in Ecological Modeling (57 citations), Ecology, Evolution, Behavior and Systematics (190 citations), Forestry (32 citations), Complementary and alternative medicine (61 citations) and Plant Science (262 citations). Robert Allkinꝉ has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include Rafaël Govaerts, Eimear Nic Lughadha, Michael Heinrich, Francisco Alcaraz, Concepción Obón, Robert Verpoorte, Diego Rivera, Alan Paton, Neil Brummitt and Irina V. Belyaeva. Their work appears in journals such as Taxon, Mathematical and Computer Modelling, Planta Medica, Journal of Ethnopharmacology and Journal of Pharmacy and Pharmacology.

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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