Otto Wildi

2.3k citations
57 papers · 1.5k · h-index 21

Impact in

Papers in

Otto Wildi

56 papers receiving 1.3k citations

Peers

Otto Wildi
Comparison fields: 5 of 93
  • Nature and Landscape Conservation 849
  • Ecological Modeling 238
  • Global and Planetary Change 464
  • Ecology 499
  • Ecology, Evolution, Behavior and Systematics 363
Replace T. J. Stohlgren with:
T. J. Stohlgren United States
Neil D. Mitchell New Zealand
Paul B. Alaback United States
Angela Stanisci Italy
Dylan Keon United States
László Erdős Hungary
Roberto Canullo Italy
Paul M. Ramsay United Kingdom
Zdenka Otýpková Czechia
Shiro Tsuyuzaki Japan
Otto Wildi relative to T. J. Stohlgren United States T. J. Stohlgren's profile →
Citations per field
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T. J. Stohlgren · 1×
Citations per year

Countries citing papers authored by Otto Wildi

Since Specialization
Citations

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

Fields of papers citing papers by Otto Wildi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000240
2 1993132
3
Numerical Exploration of Community Patterns
199093
4 199584
5 200782
6 200773
7
Numerical exploration of community patterns. A guide to the use of MULVA-5
199668
8 199863
9 201353
10 199650
11 201049
12 200841
13
Management and multivariate analysis of vegetation data
198340
14 198937
15 200734
16 200032
17 200625
18 200224
19 200622
20 200421

About Otto Wildi

Otto Wildi is a scholar working on Nature and Landscape Conservation, Plant Science, Ecology, Global and Planetary Change and Ecological Modeling, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (31 papers), Botany and Plant Ecology Studies (24 papers), Species Distribution and Climate Change (8 papers), Peatlands and Wetlands Ecology (8 papers), Forest Management and Policy (7 papers), Rangeland and Wildlife Management (6 papers), Botany, Ecology, and Taxonomy Studies (6 papers) and Mediterranean and Iberian flora and fauna (5 papers). The work is most often cited by research in Nature and Landscape Conservation (849 citations), Ecological Modeling (238 citations), Global and Planetary Change (464 citations), Ecology (499 citations) and Ecology, Evolution, Behavior and Systematics (363 citations). Otto Wildi has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Felix Kienast, Bogdan Brzeziecki, László Orlóci, Helene H. Wagner, Klaus C. Ewald, Martin Schütz, Sucharita Ghosh, Bertil Krüsi, M. Schütz and Anita C. Risch. Their work appears in journals such as Journal of Vegetation Science, Plant Ecology, Community Ecology, Flora and Forest Ecology and Management.

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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