Daniel Dörler

2.3k citations
19 papers · 466 indexed · h-index 10

Impact in

Papers in

Daniel Dörler

18 papers receiving 433 citations

Peers

Daniel Dörler
Comparison fields: 5 of 102
  • Ecological Modeling 235
  • Social Psychology 128
  • Computer Science Applications 27
  • Information Systems and Management 25
  • Ecology 91
Replace Florian Heigl with:
Florian Heigl Austria
Lucy D. Robinson United Kingdom
Anett Richter Germany
Rebecca Ellis United Kingdom
Wesley R. Brooks United States
Christopher Kullenberg Sweden
Darlene Cavalier United States
Kirstin A. Holfelder United States
Alison N. Young United States
Susanne Hecker Germany
Daniel Dörler relative to Florian Heigl Austria Florian Heigl's profile →
Citations per field
00.5×1.5×
Florian Heigl · 1×
Citations per year

Countries citing papers authored by Daniel Dörler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dörler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Daniel Dörler, 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 Daniel Dörler Line = papers co-authored together Daniel Dörler links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20241
2 20240
3 20228
4 20212
5 20217
6 20211
7 202113
8 20213
9 202014
10 20192
11 201911
12 2019138
13 201824
14 2018165
15 201818
16 201719
17 201721
18 20176
19 201613

About Daniel Dörler

Daniel Dörler is a scholar working on Ecological Modeling, Information Systems and Management, Developmental Biology, Museology and Ecology, having authored 19 papers that have together received 466 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (12 papers), Animal and Plant Science Education (4 papers), Wildlife-Road Interactions and Conservation (4 papers), Research Data Management Practices (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Scientific Computing and Data Management (3 papers), Mollusks and Parasites Studies (3 papers) and Animal Ecology and Behavior Studies (2 papers). The work is most often cited by research in Ecological Modeling (235 citations), Social Psychology (128 citations), Computer Science Applications (27 citations), Information Systems and Management (25 citations) and Ecology (91 citations). Daniel Dörler has collaborated with scholars based in Austria, Germany and Bulgaria. Frequent co-authors include Florian Heigl, Aletta Bonn, Anett Richter, Barbara Kieslinger, Tabea Turrini, Katharina T. Paul, Johann G. Zaller, Gregor Laaha, Matthias Kropf and Johannes Rüdisser. Their work appears in journals such as Scientific Reports, PeerJ, Nature, Biological Conservation and BMC Ecology.

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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