David Boho

512 total citations
14 papers, 345 citations indexed

About

David Boho is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Plant Science. According to data from OpenAlex, David Boho has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Ecological Modeling and 6 papers in Plant Science. Recurrent topics in David Boho's work include Species Distribution and Climate Change (7 papers), Plant and animal studies (6 papers) and Remote Sensing in Agriculture (4 papers). David Boho is often cited by papers focused on Species Distribution and Climate Change (7 papers), Plant and animal studies (6 papers) and Remote Sensing in Agriculture (4 papers). David Boho collaborates with scholars based in Germany and Czechia. David Boho's co-authors include Patrick Mäder, Jana Wäldchen, Michael Rzanny, Marco Seeland, Susanne Dunker, Hans Christian Wittich, Elena Motivans Švara, Demetra Rákosy, Tiffany M. Knight and Thomas Hornick and has published in prestigious journals such as SHILAP Revista de lepidopterología, New Phytologist and The Plant Journal.

In The Last Decade

David Boho

13 papers receiving 336 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Boho Germany	8	104	96	82	77	55	14	345
Johanna Ärje Finland	8	130 1.3×	90 0.9×	117 1.4×	82 1.1×	80 1.5×	11	404
Alexander E. White United States	10	221 2.1×	137 1.4×	199 2.4×	44 0.6×	49 0.9×	16	536
John Deck United States	10	168 1.6×	71 0.7×	228 2.8×	48 0.6×	132 2.4×	24	456
Sylvain Christin Canada	4	120 1.2×	53 0.6×	194 2.4×	20 0.3×	33 0.6×	7	413
Mitsunori Yoshimura Japan	8	52 0.5×	136 1.4×	141 1.7×	127 1.6×	31 0.6×	27	570
Elena Motivans Švara Germany	5	29 0.3×	63 0.7×	123 1.5×	27 0.4×	100 1.8×	5	223
Mathias Dillen Belgium	10	88 0.8×	57 0.6×	57 0.7×	176 2.3×	64 1.2×	28	387
Richardson United Kingdom	8	37 0.4×	58 0.6×	52 0.6×	25 0.3×	34 0.6×	15	339
Carolina Doran Portugal	12	22 0.2×	125 1.3×	66 0.8×	38 0.5×	75 1.4×	16	361
Marko Panić Serbia	14	40 0.4×	74 0.8×	63 0.8×	155 2.0×	19 0.3×	44	485

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-authorship network of co-authors of David Boho

This figure shows the co-authorship network connecting the top 25 collaborators of David Boho. A scholar is included among the top collaborators of David Boho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Boho. David Boho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Rzanny, Michael, Patrick Mäder, David Boho, et al.. (2025). Expanding phenological insights: automated phenostage annotation with community science plant images. International Journal of Biometeorology. 69(9). 2353–2367.

Rzanny, Michael, Patrick Mäder, Hans Christian Wittich, David Boho, & Jana Wäldchen. (2024). Opportunistic plant observations reveal spatial and temporal gradients in phenology. SHILAP Revista de lepidopterología. 3(1). 5–5. 8 indexed citations

Rzanny, Michael, et al.. (2024). More than rapid identification—Free plant identification apps can also be highly accurate. People and Nature. 6(6). 2178–2181. 5 indexed citations

Hodač, Ladislav, Kevin Karbstein, Michael Rzanny, et al.. (2024). Deep learning to capture leaf shape in plant images: Validation by geometric morphometrics. The Plant Journal. 120(4). 1343–1357. 5 indexed citations

Rzanny, Michael, Patrick Mäder, Christine Römermann, et al.. (2023). Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring. Frontiers in Plant Science. 14. 1150956–1150956. 6 indexed citations

Rzanny, Michael, et al.. (2022). Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives. Frontiers in Plant Science. 12. 804140–804140. 19 indexed citations

Mäder, Patrick, David Boho, Michael Rzanny, et al.. (2021). The Flora Incognita app – Interactive plant species identification. Methods in Ecology and Evolution. 12(7). 1335–1342. 79 indexed citations

Dunker, Susanne, Elena Motivans Švara, Demetra Rákosy, et al.. (2020). Pollen analysis using multispectral imaging flow cytometry and deep learning. New Phytologist. 229(1). 593–606. 60 indexed citations

Boho, David, Michael Rzanny, Jana Wäldchen, et al.. (2020). Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinformatics. 21(1). 576–576. 32 indexed citations

10.

König, Jörg, et al.. (2020). On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV. Measurement Science and Technology. 31(7). 74015–74015. 25 indexed citations

11.

Seeland, Marco, Michael Rzanny, David Boho, Jana Wäldchen, & Patrick Mäder. (2019). Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics. 20(1). 4–4. 39 indexed citations

12.

Dunker, Susanne, David Boho, Jana Wäldchen, & Patrick Mäder. (2018). Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton. BMC Ecology. 18(1). 51–51. 59 indexed citations

13.

Wäldchen, Jana, Marco Seeland, Michael Rzanny, et al.. (2016). Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone. Max Planck Digital Library. 53(3). 121–125. 3 indexed citations

14.

Seeland, Marco, et al.. (2016). Description of flower colors for image based plant species classification. MPG.PuRe (Max Planck Society). 145–154. 5 indexed citations

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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