Daniel Dítě

2.6k citations
93 papers · 1.4k · h-index 17

Impact in

Papers in

Daniel Dítě

85 papers receiving 1.3k citations

Peers

Daniel Dítě
Comparison fields: 5 of 58
  • Ecology 876
  • Ecology, Evolution, Behavior and Systematics 516
  • Nature and Landscape Conservation 288
  • Plant Science 804
  • Ecological Modeling 69
Replace Melanie M. Pollierer with:
Melanie M. Pollierer Germany
Jan Roleček Czechia
Milan Valachovič Slovakia
Anton Potapov Germany
L. Dennis Gignac Canada
Gabrielle Vivian‐Smith Australia
Johan Asplund Norway
Kateřina Kintrová Czechia
Richard Hrivnák Slovakia
Isabel W. Ashton United States
Daniel Dítě relative to Melanie M. Pollierer Germany Melanie M. Pollierer's profile →
Citations per field
00.5×2.6×
Melanie M. Pollierer · 1×
Citations per year

Countries citing papers authored by Daniel Dítě

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dítě

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006222
2 2011125
3 201594
4 201084
5 201270
6 200754
7 200754
8 201851
9 201250
10 200743
11 201839
12 201931
13 201330
14 201924
15 200721
16 202120
17 202017
18 201815
19 202015
20 201514

About Daniel Dítě

Daniel Dítě is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology, Atmospheric Science and Nature and Landscape Conservation, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Botany and Plant Ecology Studies (78 papers), Peatlands and Wetlands Ecology (38 papers), Bryophyte Studies and Records (34 papers), Lichen and fungal ecology (16 papers), Geology and Paleoclimatology Research (14 papers), Mediterranean and Iberian flora and fauna (13 papers), Coastal wetland ecosystem dynamics (13 papers) and Ecology and Vegetation Dynamics Studies (11 papers). The work is most often cited by research in Ecology (876 citations), Ecology, Evolution, Behavior and Systematics (516 citations), Nature and Landscape Conservation (288 citations), Plant Science (804 citations) and Ecological Modeling (69 citations). Daniel Dítě has collaborated with scholars based in Slovakia, Czechia and Spain. Frequent co-authors include Michal Hájek, Petra Hájková, Michal Horsák, Pavol Eliáš, Lubomír Tichý, Ján Kliment, Richard Hrivnák, Iva Apostolova, Viera Feráková and Jan Roleček. Their work appears in journals such as Hacquetia, Preslia, Applied Vegetation Science, Folia Geobotanica and Journal of Biogeography.

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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