Daniela Csencsics

768 citations
17 papers · 631 indexed · h-index 13

Daniela Csencsics

17 papers receiving 610 citations

Peers

Daniela Csencsics
Comparison fields: 5 of 43
  • Ecology, Evolution, Behavior and Systematics 378
  • Ecological Modeling 49
  • Nature and Landscape Conservation 116
  • Plant Science 316
  • Insect Science 90
Replace Xiao‐Xin Wei with:
Xiao‐Xin Wei China
Marlene Hahn United States
Susan E. Hoebee Australia
A. Madaghiele Italy
Barbara E. Giles Sweden
Kenneth Oberlander South Africa
Zaida Lorenzo Spain
Monika Dering Poland
Richard C. Winkworth New Zealand
John Syring United States
Daniela Csencsics relative to Xiao‐Xin Wei China Xiao‐Xin Wei's profile →
Citations per field
00.5×1.6×
Xiao‐Xin Wei · 1×
Citations per year

Countries citing papers authored by Daniela Csencsics

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Csencsics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202010
2 20193
3 201620
4 20162
5 20164
6 201373
7 201113
8 201163
9 2010103
10 201028
11 200913
12 200917
13 200827
14 200758
15 2006152
16 200533
17 200512

About Daniela Csencsics

Daniela Csencsics is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Genetics and Nature and Landscape Conservation, having authored 17 papers that have together received 631 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Species Distribution and Climate Change (5 papers), Lichen and fungal ecology (4 papers), Plant and animal studies (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Bioenergy crop production and management (3 papers), Forest Ecology and Biodiversity Studies (3 papers) and Botany and Plant Ecology Studies (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (378 citations), Ecological Modeling (49 citations), Nature and Landscape Conservation (116 citations), Plant Science (316 citations) and Insect Science (90 citations). Daniela Csencsics has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Rolf Holderegger, Sabine Brodbeck, Christoph Scheidegger, Félix Gugerli, Silke Werth, Helene H. Wagner, Jesse M. Kalwij, Sonia Angelone, Susan E. Hoebee and Inga Jüriado. Their work appears in journals such as Journal for Nature Conservation, Journal of Heredity, Biodiversity and Conservation, Ecological Entomology and Flora.

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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