Jürgen Schmidt
- Soil Science top 5%
- Water Science and Technology top 10%
- Ecology
- Earth-Surface Processes
- Atmospheric Science
- Co-authors
- Marc SchindewolfH. KrügerPawel J. JastreboffM. SuckfüllAlexander GebauerAndreas KaiserRoman GörtelmeyerWerner W. Wittmann
- Topics
- Soil erosion and sediment transport (11 papers)Hydrology and Watershed Management Studies (6 papers)Advanced Algebra and Logic (5 papers)
- Partner nations
- GermanySwitzerlandIndia
In The Last Decade
Jürgen Schmidt
26 papers receiving 277 citations
Peers
Comparison fields: 5 of 54
- Soil Science 190
- Water Science and Technology 124
- Ecology 111
- Earth-Surface Processes 37
- Atmospheric Science 33
Countries citing papers authored by Jürgen Schmidt
This map shows the geographic impact of Jürgen Schmidt'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 Jürgen Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Schmidt more than expected).
Fields of papers citing papers by Jürgen Schmidt
This network shows the impact of papers produced by Jürgen Schmidt. 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 Jürgen Schmidt. The network helps show where Jürgen Schmidt may publish in the future.
Co-authorship network of co-authors of Jürgen Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Schmidt. A scholar is included among the top collaborators of Jürgen Schmidt 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 Jürgen Schmidt. Jürgen Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | Effects of Contour Banks and No-Till Measures on Run-Off and Sediment Yield in Campo Verde Region, Mato Grosso | 3 |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | Soil erosion and sediment yield prediction on catchment and regional scale using a process based simulation model | 1 |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 1 |
About Jürgen Schmidt
Jürgen Schmidt is a scholar working on Soil Science, Water Science and Technology and Computational Theory and Mathematics, having authored 27 papers that have together received 308 indexed citations. Recurring topics across this work include Soil erosion and sediment transport (11 papers), Hydrology and Watershed Management Studies (6 papers) and Advanced Algebra and Logic (5 papers). The work is most often cited by research in Soil Science (190 citations), Water Science and Technology (124 citations) and Earth-Surface Processes (37 citations). Jürgen Schmidt has collaborated with scholars based in Germany, Switzerland and India. Frequent co-authors include Marc Schindewolf, H. Krüger, Pawel J. Jastreboff, M. Suckfüll, Alexander Gebauer, Andreas Kaiser, Roman Görtelmeyer, Werner W. Wittmann, Luigi Mariani and R. Wymann. Their work appears in journals such as CATENA, Acta Neurochirurgica and Review of Palaeobotany and Palynology.
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.