Timo Conradi

1.2k total citations · 1 hit paper
28 papers, 552 citations indexed

About

Timo Conradi is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Timo Conradi has authored 28 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nature and Landscape Conservation, 11 papers in Ecology and 11 papers in Global and Planetary Change. Recurrent topics in Timo Conradi's work include Ecology and Vegetation Dynamics Studies (14 papers), Species Distribution and Climate Change (7 papers) and Botany and Plant Ecology Studies (6 papers). Timo Conradi is often cited by papers focused on Ecology and Vegetation Dynamics Studies (14 papers), Species Distribution and Climate Change (7 papers) and Botany and Plant Ecology Studies (6 papers). Timo Conradi collaborates with scholars based in Germany, Denmark and South Africa. Timo Conradi's co-authors include Steven I. Higgins, Johannes Kollmann, Vicky M. Temperton, Andreas Schweiger, Jens‐Christian Svenning, Henning Nottebrock, Matt Davis, Isabelle Boulangeat, Jasper A. Slingsby and Matthew J. Larcombe and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Timo Conradi

26 papers receiving 544 citations

Hit Papers

Shifts in vegetation activity of terrestrial ecosystems a... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timo Conradi Germany 14 265 248 211 105 103 28 552
Bruno De Cinti Italy 12 234 0.9× 180 0.7× 165 0.8× 91 0.9× 77 0.7× 27 461
Jarrod Cusens New Zealand 10 217 0.8× 193 0.8× 196 0.9× 77 0.7× 80 0.8× 16 460
Masahiro Aiba Japan 16 238 0.9× 344 1.4× 135 0.6× 111 1.1× 65 0.6× 32 564
Wubing Xu China 12 229 0.9× 310 1.3× 193 0.9× 166 1.6× 195 1.9× 17 619
Sarah E. Johnson United States 14 262 1.0× 398 1.6× 276 1.3× 94 0.9× 62 0.6× 25 654
Charly Géron Belgium 8 126 0.5× 215 0.9× 153 0.7× 95 0.9× 87 0.8× 15 408
Ezequiel Aráoz Argentina 13 375 1.4× 206 0.8× 192 0.9× 81 0.8× 87 0.8× 38 554
Ángel de Frutos Spain 14 232 0.9× 157 0.6× 199 0.9× 92 0.9× 93 0.9× 19 517
Jonathan A. Knott United States 9 259 1.0× 331 1.3× 193 0.9× 92 0.9× 188 1.8× 15 592
Lucas N. Paolucci Brazil 11 270 1.0× 201 0.8× 141 0.7× 175 1.7× 53 0.5× 26 523

Countries citing papers authored by Timo Conradi

Since Specialization
Citations

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

Fields of papers citing papers by Timo Conradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Conradi

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Conradi. A scholar is included among the top collaborators of Timo Conradi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timo Conradi. Timo Conradi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Higgins, Steven I., et al.. (2025). TTR.PGM: An R package for modelling the distributions and dynamics of plants using the Thornley transport resistance plant growth model. Methods in Ecology and Evolution. 16(8). 1599–1608.
3.
Lhermitte, Stef, Marina Hirota, Timo Conradi, et al.. (2024). Critical slowing down of the Amazon forest after increased drought occurrence. Proceedings of the National Academy of Sciences. 121(22). e2316924121–e2316924121. 16 indexed citations
4.
Higgins, Steven I., Mara Baudena, David M. J. S. Bowman, et al.. (2024). Reassessing the alternative ecosystem states proposition in the African savanna‐forest domain. New Phytologist. 243(5). 1660–1669. 5 indexed citations
5.
Conradi, Timo, U. Eggli, Holger Kreft, et al.. (2024). Reassessment of the risks of climate change for terrestrial ecosystems. Nature Ecology & Evolution. 8(5). 888–900. 26 indexed citations
6.
Higgins, Steven I., et al.. (2023). Changes in How Climate Forces the Vegetation of Southern Africa. Ecosystems. 26(8). 1716–1733. 3 indexed citations
7.
Higgins, Steven I., et al.. (2023). Shifts in vegetation activity of terrestrial ecosystems attributable to climate trends. Nature Geoscience. 16(2). 147–153. 137 indexed citations breakdown →
8.
Higgins, Steven I., et al.. (2023). Publisher Correction: Shifts in vegetation activity of terrestrial ecosystems attributable to climate trends. Nature Geoscience. 16(6). 546–546. 3 indexed citations
9.
Ladouceur, Emma, Nancy Shackelford, Lars A. Brudvig, et al.. (2022). Knowledge sharing for shared success in the decade on ecosystem restoration. SHILAP Revista de lepidopterología. 3(1). 30 indexed citations
11.
Higgins, Steven I., Matthew J. Larcombe, Nicholas J. Beeton, & Timo Conradi. (2021). Transferability of correlative and process‐based species distribution models revisited: A response to Booth. Ecology and Evolution. 11(19). 13613–13617. 5 indexed citations
12.
13.
Conradi, Timo, Jasper A. Slingsby, Guy F. Midgley, et al.. (2020). An operational definition of the biome for global change research. New Phytologist. 227(5). 1294–1306. 35 indexed citations
14.
Higgins, Steven I., Matthew J. Larcombe, Nicholas J. Beeton, Timo Conradi, & Henning Nottebrock. (2020). Predictive ability of a process‐based versus a correlative species distribution model. Ecology and Evolution. 10(20). 11043–11054. 32 indexed citations
15.
Schweiger, Andreas, Isabelle Boulangeat, Timo Conradi, Matt Davis, & Jens‐Christian Svenning. (2018). The importance of ecological memory for trophic rewilding as an ecosystem restoration approach. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 94(1). 1–15. 53 indexed citations
16.
Dengler, Jürgen, et al.. (2017). GrassVeg.DE – die neue kollaborative Vegetationsdatenbank für alle Offenlandhabitate Deutschlands. Tuexenia. 37(1). 447–455. 1 indexed citations
17.
Conradi, Timo, Vicky M. Temperton, & Johannes Kollmann. (2016). Beta diversity of plant species in human-transformed landscapes: Control of community assembly by regional productivity and historical connectivity. Perspectives in Plant Ecology Evolution and Systematics. 24. 1–10. 19 indexed citations
18.
Conradi, Timo, et al.. (2016). Das Kronwinkelmoos in den Ammergauer Alpen: ein Beitrag zur Kenntnis der Vegetation bayerischer Hochlagenmoore. ERef Bayreuth (University of Bayreuth). 227–240. 1 indexed citations
19.
Andrade, Bianca Ott, Gerhard E. Overbeck, Julia‐Maria Hermann, et al.. (2014). Intraspecific trait variation and allocation strategies of calcareous grassland species: Results from a restoration experiment. Basic and Applied Ecology. 15(7). 590–598. 13 indexed citations
20.
Conradi, Timo, et al.. (2013). Plant communities and environmental gradients in mires of the Ammergauer Alps (Bavaria, Germany). Tuexenia. 33(33). 133–163. 5 indexed citations

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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