Jana Wäldchen

3.2k citations
40 papers · 1.6k indexed · 2 hit papers · h-index 19

Impact in

Papers in

Jana Wäldchen

38 papers receiving 1.6k citations

Hit Papers

Machine learning for image based species identification 2018 · 308 citations
3082017202620202023100200300

Peers

Jana Wäldchen
Comparison fields: 5 of 120
  • Ecological Modeling 424
  • Analytical Chemistry 201
  • Ecology 505
  • Ecology, Evolution, Behavior and Systematics 318
  • Plant Science 600
Replace Alexis Joly with:
Alexis Joly France
Michael Rzanny Germany
Tae‐Soo Chon South Korea
Pablo González‐Moreno Spain
Hervé Goëau France
Solve Sæbø Norway
Jérôme Théau Canada
Hiroyoshi Iwata Japan
Richard E. Plant United States
Youqing Luo China
Jana Wäldchen relative to Alexis Joly France Alexis Joly's profile →
Citations per field
00.5×1.5×1.9×
Alexis Joly · 1×
Citations per year

Countries citing papers authored by Jana Wäldchen

Since Specialization
Citations

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

Fields of papers citing papers by Jana Wäldchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20248
4 20245
5 202417
6 20247
7 20242
8 202439
9 202314
10 20235
11 202246
12 202179
13 202119
14 201939
15 201954
16 201859
17
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
Hit paper breakdown →
2017313
18 201765
19
Forest management in the Hainich Dün region (northern Thuringia) during the 19th century under political, juridical and economic changes.
20112
20 201113

About Jana Wäldchen

Jana Wäldchen is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Insect Science and Plant Science, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (18 papers), Plant and animal studies (12 papers), Remote Sensing in Agriculture (7 papers), Animal and Plant Science Education (6 papers), Smart Agriculture and AI (6 papers), Identification and Quantification in Food (5 papers), Genomics and Phylogenetic Studies (5 papers) and Forest Ecology and Biodiversity Studies (4 papers). The work is most often cited by research in Ecological Modeling (424 citations), Analytical Chemistry (201 citations), Ecology (505 citations), Ecology, Evolution, Behavior and Systematics (318 citations) and Plant Science (600 citations). Jana Wäldchen has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Patrick Mäder, Michael Rzanny, Marco Seeland, David Boho, Hans Christian Wittich, Ernst‐Detlef Schulze, Susanne Dunker, Ingo Schöning, Marion Schrumpf and Meelis Pärtel. Their work appears in journals such as Frontiers in Plant Science, Methods in Ecology and Evolution, BMC Bioinformatics, People and Nature and Plant Methods.

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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