David Boho

14 papers receiving 365 citations

Peers

David Boho
Comparison fields: 5 of 82
  • Ecological Modeling 103
  • Ecology, Evolution, Behavior and Systematics 94
  • Biophysics 22
  • Ecology 85
  • Immunology and Allergy 16
Replace Elena Motivans Švara with:
Elena Motivans Švara Germany
Mathias Dillen Belgium
Alexander E. White United States
Sylvain Christin Canada
Katelin D. Pearson United States
Mitsunori Yoshimura Japan
Marko Panić Serbia
Alexandra Farkas Hungary
John Deck United States
Elspeth Haston United Kingdom
David Boho relative to Elena Motivans Švara Germany Elena Motivans Švara's profile →
Citations per field
00.5×3.5×
Elena Motivans Švara · 1×
Citations per year

Countries citing papers authored by David Boho

Since Specialization
Citations

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

Fields of papers citing papers by David Boho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside David Boho, 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 David Boho Line = papers co-authored together David Boho links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202185
2 202066
3 201862
4 201941
5 202032
6 202026
7 202220
8 202411
9 20247
10 20236
11 20246
12
Description of flower colors for image based plant species classification
20165
13
Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone
20163
14 20251
15 20260

About David Boho

David Boho is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Plant Science, Ecology and Molecular Biology, having authored 15 papers that have together received 371 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), Plant and animal studies (5 papers), Remote Sensing in Agriculture (4 papers), Leaf Properties and Growth Measurement (3 papers), Botany and Plant Ecology Studies (1 paper), Allergic Rhinitis and Sensitization (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Ecological Modeling (103 citations), Ecology, Evolution, Behavior and Systematics (94 citations), Biophysics (22 citations), Ecology (85 citations) and Immunology and Allergy (16 citations). David Boho has collaborated with scholars based in Germany and Czechia. Frequent co-authors include Patrick Mäder, Jana Wäldchen, Michael Rzanny, Marco Seeland, Susanne Dunker, Hans Christian Wittich, Thomas Hornick, Demetra Rákosy, Elena Motivans Švara and Tiffany M. Knight. Their work appears in journals such as Frontiers in Plant Science, BMC Bioinformatics, New Phytologist, Measurement Science and Technology and The Plant Journal.

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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