Katja Schiffers

6.0k citations
40 papers · 3.1k indexed · 1 hit paper · h-index 22
Topics
Ecology and Vegetation Dynamics Studies (21 papers)Species Distribution and Climate Change (16 papers)Plant and animal studies (12 papers)

In The Last Decade

Katja Schiffers

37 papers receiving 3.0k citations

Hit Papers

How to measure and test phylogenetic signal20122026201620212012250500750

Peers

Katja Schiffers
Comparison fields: 5 of 125
  • Nature and Landscape Conservation 1.5k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Ecological Modeling 1.1k
  • Ecology 1.1k
  • Global and Planetary Change 687
Replace Gunnar Keppel with:
Gunnar Keppel Australia
Robert Muscarella United States
Ignacio Morales‐Castilla Spain
David Štorch Czechia
Caroline M. Tucker Canada
Brian L. Anacker United States
Christine N. Meynard France
Healy Hamilton United States
Dan F. Rosauer Australia
Joanne Clavel France
Katja Schiffers relative to Gunnar Keppel Australia Gunnar Keppel's profile →
Citations per field
00.5×
Gunnar Keppel · 1×
Citations per year

Countries citing papers authored by Katja Schiffers

Since Specialization
Citations

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

Fields of papers citing papers by Katja Schiffers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Schiffers

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Schiffers. A scholar is included among the top collaborators of Katja Schiffers 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 Katja Schiffers. Katja Schiffers 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
#WorkIndexed citations
1 2
2 0
3 0
4 3
5 0
6
Quantitative Support of Decision Making under Uncertainty [R package decisionSupport version 1.106]
2
7 1
8 75
9 116
10 158
11 176
12 19
13 132
14 47
15 39
16 322
17 13
18 12
19 31
20 12

About Katja Schiffers

Katja Schiffers is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (21 papers), Species Distribution and Climate Change (16 papers) and Plant and animal studies (12 papers). The work is most often cited by research in Ecological Modeling (1.1k citations), Nature and Landscape Conservation (1.5k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). Katja Schiffers has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Wilfried Thuiller, Tamara Münkemüller, Sébastien Lavergne, Bruno Bzeznik, Stéphane Dray, Thibaut Jombart, Katja Tielbörger, Dominique Gravel, Justin M. J. Travis and Frank M. Schurr. Their work appears in journals such as PLoS ONE, Ecology and The American Naturalist.

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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