Michael Schirrmann

2.6k citations
51 papers · 1.6k · 1 hit paper · h-index 21

Impact in

Papers in

    • Smart Agriculture and AI 17
    • Plant Disease Management Techniques 5
    • Remote Sensing in Agriculture 17

Michael Schirrmann

50 papers receiving 1.5k citations

Michael Schirrmann's Hit Papers

Biochar, soil and land-use interactions that reduce nitrate leaching and N2O emissions: A meta-analysis 2018 · 406 citations
4060+2+5Years since publication100200300400

Peers

Michael Schirrmann
Comparison fields: 5 of 102
  • Soil Science 366
  • Environmental Engineering 441
  • Ecology 563
  • Plant Science 640
  • Analytical Chemistry 114
Replace Xiaoping Xin with:
Xiaoping Xin China
José Dorado Spain
A. B. Riche United Kingdom
Frank Liebisch Switzerland
Aimrun Wayayok Malaysia
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biochar, soil and land-use interactions that reduce nitrate leaching and N2O emissions: A meta-analysis
Hit paper breakdown →
2018406
2 2016164
3 201187
4 202270
5 201661
6 201856
7 202056
8 201852
9 202149
10 202145
11 201342
12 202237
13 202236
14 202131
15 201730
16 202329
17 201728
18 201527
19 201522
20 202121

About Michael Schirrmann

Michael Schirrmann is a scholar working on Plant Science, Ecology, Environmental Engineering, Soil Science and Global and Planetary Change, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Smart Agriculture and AI (17 papers), Soil Geostatistics and Mapping (9 papers), Remote Sensing and LiDAR Applications (7 papers), Soil Carbon and Nitrogen Dynamics (7 papers), Plant Disease Management Techniques (5 papers), Plant Pathogens and Fungal Diseases (4 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Soil Science (366 citations), Environmental Engineering (441 citations), Ecology (563 citations), Plant Science (640 citations) and Analytical Chemistry (114 citations). Michael Schirrmann has collaborated with scholars based in Germany, United States and Indonesia. Frequent co-authors include Michael Pflanz, Karl‐Heinz Dammer, Nils Borchard, Antje Giebel, Robin Gebbers, Kurt A. Spokas, Teresa Fuertes‐Mendizábal, Claudia Kammann, J. M. Novak and N. Wrage. Their work appears in journals such as Remote Sensing, Pest Management Science, Scientific Reports, Computers and Electronics in Agriculture and The Science of The Total Environment.

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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