Barbara Gravendeel

5.9k citations
140 papers · 3.5k · h-index 32

Impact in

Papers in

Barbara Gravendeel

133 papers receiving 3.4k citations

Peers

Barbara Gravendeel
Comparison fields: 5 of 149
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Plant Science 1.1k
  • Ecological Modeling 108
  • Molecular Biology 1.6k
  • Paleontology 169
Replace John H. Wiersema with:
John H. Wiersema United States
Gideon F. Smith South Africa
C. C. Wilcock United Kingdom
Pascal‐Antoine Christin United Kingdom
Anne K. Brysting Norway
Rafaël Govaerts United Kingdom
Guillaume Besnard France
Jerrold I. Davis United States
Klaas Vrieling Netherlands
Ole Seberg Denmark
Barbara Gravendeel relative to John H. Wiersema United States John H. Wiersema's profile →
Citations per field
00.5×3.2×
John H. Wiersema · 1×
Citations per year

Countries citing papers authored by Barbara Gravendeel

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Gravendeel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007208
2 2004182
3 2016164
4 2011144
5 2008114
6 2021111
7 2015111
8 2013103
9 202188
10 200287
11 200183
12 200475
13 201070
14 200369
15 201467
16 201460
17 200857
18 201755
19 201954
20 201651

About Barbara Gravendeel

Barbara Gravendeel is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Plant Science, Cell Biology and Ecology, having authored 140 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant and animal studies (65 papers), Plant and Fungal Species Descriptions (36 papers), Plant Diversity and Evolution (30 papers), Plant Pathogens and Fungal Diseases (17 papers), Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (10 papers), Identification and Quantification in Food (10 papers) and Environmental DNA in Biodiversity Studies (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.7k citations), Plant Science (1.1k citations), Ecological Modeling (108 citations), Molecular Biology (1.6k citations) and Paleontology (169 citations). Barbara Gravendeel has collaborated with scholars based in Netherlands, United Kingdom and Norway. Frequent co-authors include Hugo de Boer, Marcel Eurlings, Pieter B. Pelser, André Schuiteman, Ann Smithson, Ferry Slik, Santiago R. Ramírez, Charles R. Marshall, Naomi E. Pierce and Rodrigo B. Singer. Their work appears in journals such as Phytotaxa, Molecular Phylogenetics and Evolution, American Journal of Botany, PLoS ONE and Annals of Botany.

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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