J. Schmidt

591 total citations
17 papers, 428 citations indexed

About

J. Schmidt is a scholar working on Soil Science, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, J. Schmidt has authored 17 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Soil Science, 7 papers in Water Science and Technology and 4 papers in Civil and Structural Engineering. Recurrent topics in J. Schmidt's work include Soil erosion and sediment transport (8 papers), Hydrology and Watershed Management Studies (7 papers) and Soil and Unsaturated Flow (4 papers). J. Schmidt is often cited by papers focused on Soil erosion and sediment transport (8 papers), Hydrology and Watershed Management Studies (7 papers) and Soil and Unsaturated Flow (4 papers). J. Schmidt collaborates with scholars based in Germany, United States and Russia. J. Schmidt's co-authors include Frank Kreienkamp, Wolfgang Enke, H. Fölster, Christian Geißler, Thomas Iserloh, J. B. Ries, Artemi Cerdà, Francisco J. García-Dé León, Manuel Seeger and Wolfgang Fister and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Geomorphology.

In The Last Decade

J. Schmidt

16 papers receiving 395 citations

Peers

J. Schmidt
F. Mannocchi Italy
Sílvio Carlos Rodrigues Brazil
Kenneth M. Wacha United States
Darcy Molnar United States
DM Silburn Australia
Anton Pijl Italy
Kamlesh Narayan Tiwari India
Roel Vining United States
Fatih Topaloğlu Türkiye
Modeste Meliho Morocco
F. Mannocchi Italy
J. Schmidt
Citations per year, relative to J. Schmidt J. Schmidt (= 1×) peers F. Mannocchi

Countries citing papers authored by J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schmidt

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

All Works

17 of 17 papers shown
1.
Neugirg, Fabian, et al.. (2015). Monitoring and modeling slope dynamics in an Alpine watershed – a combined approach of soil science, remote sensing and geomorphology. SHILAP Revista de lepidopterología. 371. 181–187. 2 indexed citations
2.
Krause, Sabine, et al.. (2014). G.P.256. Neuromuscular Disorders. 24(9-10). 893–894. 1 indexed citations
3.
4.
Schmidt, J., et al.. (2013). Future soil erosion risk — Results of GIS-based model simulations for a catchment in Saxony/Germany. Geomorphology. 206. 299–306. 19 indexed citations
5.
Iserloh, Thomas, J. B. Ries, Artemi Cerdà, et al.. (2012). Comparative measurements with seven rainfall simulators on uniform bare fallow land. Zeitschrift für Geomorphologie. 57(1). 11–26. 77 indexed citations
6.
Schmidt, J., R. J. Gilkes, & N. Prakongkep. (2010). Effects of soil slaking and sealing on infiltration - experiments and model approach.. 29–32. 7 indexed citations
7.
Schmidt, J., et al.. (2009). Wind effects on soil erosion by water.. 201–206. 3 indexed citations
8.
Schmidt, J., et al.. (2005). Impact of expected increase in precipitation intensities on soil loss—results of comparative model simulations. CATENA. 61(2-3). 155–164. 67 indexed citations
9.
Schmidt, J., et al.. (2004). RAINFALL INFILTRATION UNDER URBAN SOIL SURFACE CONDITIONS - EXPERIMENT AND MODEL RESULTS. 1 indexed citations
10.
Miller, Preston J., et al.. (2003). Are Banking Supervisory Data Useful for Macroeconomic Forecasts?. 3(1). 5 indexed citations
11.
Schmidt, J., et al.. (2001). Simulation of water drainage of a rain forest and forest conversion plots using a soil water model. Journal of Hydrology. 246(1-4). 82–95. 24 indexed citations
12.
Schmidt, J., et al.. (1999). Application of the EROSION 3D model to the CATSOP watershed, The Netherlands. CATENA. 37(3-4). 449–456. 65 indexed citations
13.
Oltchev, A., Julie Constantin, G. Gravenhorst, et al.. (1996). Application of a six-layer SVAT model for simulation of evapotranspiration and water uptake in a spruce forest. Physics and Chemistry of the Earth. 21(3). 195–199. 18 indexed citations
14.
Schmidt, J., et al.. (1990). Ultraviolet-Induced Changes in Corneal Transmission Properties and Influence on Scheimpflug Photography. Ophthalmic Research. 22(6). 365–370. 3 indexed citations
15.
Schmidt, J.. (1971). A semigroup in function algebra. Semigroup Forum. 2(1). 119–129. 1 indexed citations
16.
Schmidt, J.. (1966). A general existence theorem on partial algebras and its special cases. Colloquium Mathematicum. 14(1). 73–87. 16 indexed citations
17.
Schmidt, J.. (1962). Algebraic operations and algebraic independence in algebras with infinitary operations.. Mathematica japonica. 6(3). 13 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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