Michael Schirrmann

2.6k total citations · 1 hit paper
51 papers, 1.6k citations indexed

About

Michael Schirrmann is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Michael Schirrmann has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 24 papers in Ecology and 16 papers in Environmental Engineering. Recurrent topics in Michael Schirrmann's work include Remote Sensing in Agriculture (17 papers), Smart Agriculture and AI (17 papers) and Soil Geostatistics and Mapping (9 papers). Michael Schirrmann is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Smart Agriculture and AI (17 papers) and Soil Geostatistics and Mapping (9 papers). Michael Schirrmann collaborates with scholars based in Germany, United States and Indonesia. Michael Schirrmann's co-authors include Michael Pflanz, Karl‐Heinz Dammer, Nils Borchard, Antje Giebel, Robin Gebbers, N. Wrage, J. M. Estavillo, Teresa Fuertes‐Mendizábal, Kurt A. Spokas and Claudia Kammann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Michael Schirrmann

50 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biochar, soil and land-use interactions that reduce nitrate leaching and N2O emissions: A meta-analysis

2018 406 citations Nils Borchard, Michael Schirrmann et al. The Science of The Total Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Schirrmann Germany	21	640	563	441	366	230	51	1.6k
Xiaoping Xin China	25	452 0.7×	748 1.3×	324 0.7×	383 1.0×	406 1.8×	112	1.9k
José Dorado Spain	29	1.4k 2.1×	540 1.0×	267 0.6×	426 1.2×	126 0.5×	103	2.3k
Bappa Das India	25	733 1.1×	459 0.8×	372 0.8×	319 0.9×	402 1.7×	114	1.9k
David W. Franzen United States	27	866 1.4×	484 0.9×	591 1.3×	735 2.0×	98 0.4×	103	1.9k
Anna Maria Stellacci Italy	22	916 1.4×	294 0.5×	269 0.6×	678 1.9×	201 0.9×	77	1.8k
Rômulo Simões Cézar Menezes Brazil	29	702 1.1×	515 0.9×	198 0.4×	832 2.3×	623 2.7×	192	2.7k
J. Mataix‐Beneyto Spain	21	335 0.5×	371 0.7×	365 0.8×	909 2.5×	442 1.9×	41	1.9k
Binbin Li China	21	236 0.4×	366 0.7×	155 0.4×	413 1.1×	329 1.4×	109	1.4k
Kristin Piikki Sweden	19	872 1.4×	395 0.7×	390 0.9×	291 0.8×	214 0.9×	44	1.6k
Xiangtian Meng China	19	254 0.4×	556 1.0×	620 1.4×	474 1.3×	116 0.5×	63	1.4k

Countries citing papers authored by Michael Schirrmann

Since Specialization

Citations

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

Fields of papers citing papers by Michael Schirrmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schirrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schirrmann. A scholar is included among the top collaborators of Michael Schirrmann 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 Michael Schirrmann. Michael Schirrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pflanz, Michael, et al.. (2025). Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard. Drones. 9(1). 60–60. 2 indexed citations

Schirrmann, Michael, et al.. (2024). Drought Monitoring and Prediction in Agriculture: Employing Earth Observation Data, Climate Scenarios and Data Driven Methods; a Case Study: Mango Orchard in Tamale, Ghana. Remote Sensing. 16(11). 1942–1942. 7 indexed citations

Schirrmann, Michael, et al.. (2024). Exploring biodiversity patterns at the landscape scale by linking landscape energy and land use/land cover heterogeneity. The Science of The Total Environment. 916. 170163–170163. 15 indexed citations

Alirezazadeh, Pendar, Michael Schirrmann, & Frieder Stolzenburg. (2023). A comparative analysis of deep learning methods for weed classification of high-resolution UAV images. Journal of Plant Diseases and Protection. 131(1). 227–236. 11 indexed citations

Wang, Meinan, Michael Schirrmann, Karl‐Heinz Dammer, et al.. (2023). Affordable High Throughput Field Detection of Wheat Stripe Rust Using Deep Learning with Semi-Automated Image Labeling. Computers and Electronics in Agriculture. 207. 107709–107709. 29 indexed citations

Alirezazadeh, Pendar, Michael Schirrmann, & Frieder Stolzenburg. (2023). Weeds detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery. 367–376. 1 indexed citations

Landwehr, Niels, et al.. (2022). Deep Learning Object Detection for Image Analysis of Cherry Fruit Fly (Rhagoletis cerasi L.) on Yellow Sticky Traps. Gesunde Pflanzen. 75(1). 37–48. 10 indexed citations

Lati, Ran Nisim, Jesper Rasmussen, Dionisio Andújar, et al.. (2021). Site‐specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research. 61(3). 147–153. 31 indexed citations

Schirrmann, Michael, et al.. (2021). Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps. Scientific Reports. 11(1). 10419–10419. 21 indexed citations

10.

Schirrmann, Michael, et al.. (2021). Early Detection of Stripe Rust in Winter Wheat Using Deep Residual Neural Networks. Frontiers in Plant Science. 12. 469689–469689. 45 indexed citations

11.

Schirrmann, Michael, et al.. (2021). Publisher Correction: Rapid and low-cost insect detection for analysing species trapped on yellow sticky traps. Scientific Reports. 11(1). 12854–12854. 2 indexed citations

12.

Shamshiri, Redmond R., et al.. (2021). Impact of Camera Viewing Angle for Estimating Leaf Parameters of Wheat Plants from 3D Point Clouds. Agriculture. 11(6). 563–563. 20 indexed citations

13.

Bieganowski, Andrzej, Karl‐Heinz Dammer, Anna Siedliska, et al.. (2020). Sensor‐based outdoor monitoring of insects in arable crops for their precise control. Pest Management Science. 77(3). 1109–1114. 12 indexed citations

14.

Pflanz, Michael, Michael Schirrmann, & Hannes Nordmeyer. (2018). Drone based weed monitoring with an image feature classifier.. Julius-Kühn-Archiv. 379–384. 2 indexed citations

15.

Pflanz, Michael, et al.. (2018). Räumlich hochauflösende Unkrauterkennung mittels Flugroboter und merkmalsextrahierender Bildverarbeitung. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Borchard, Nils, Michael Schirrmann, María Luz Cayuela, et al.. (2018). Biochar, soil and land-use interactions that reduce nitrate leaching and N2O emissions: A meta-analysis. The Science of The Total Environment. 651(Pt 2). 2354–2364. 406 indexed citations breakdown →

17.

Wooster, Martin J., David Gaveau, Mohammad Salim, et al.. (2018). New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply. Remote Sensing. 10(4). 495–495. 56 indexed citations

18.

Schirrmann, Michael, María Luz Cayuela, Teresa Fuertes‐Mendizábal, et al.. (2017). Biochar reduces N2O emissions from soils: A meta-analysis. EGU General Assembly Conference Abstracts. 8265. 9 indexed citations

19.

Schirrmann, Michael, Monika Joschko, Robin Gebbers, et al.. (2016). Proximal Soil Sensing – A Contribution for Species Habitat Distribution Modelling of Earthworms in Agricultural Soils?. PLoS ONE. 11(6). e0158271–e0158271. 5 indexed citations

20.

Schirrmann, Michael, Robin Gebbers, & Eckart Krämer. (2013). Performance of Automated Near‐Infrared Reflectance Spectrometry for Continuous in Situ Mapping of Soil Fertility at Field Scale. Vadose Zone Journal. 12(4). 1–14. 42 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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