Urs Schulthess

1.7k total citations
37 papers, 1.2k citations indexed

About

Urs Schulthess is a scholar working on Plant Science, Ecology and Agronomy and Crop Science. According to data from OpenAlex, Urs Schulthess has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 15 papers in Ecology and 9 papers in Agronomy and Crop Science. Recurrent topics in Urs Schulthess's work include Remote Sensing in Agriculture (15 papers), Climate change impacts on agriculture (8 papers) and Crop Yield and Soil Fertility (8 papers). Urs Schulthess is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Climate change impacts on agriculture (8 papers) and Crop Yield and Soil Fertility (8 papers). Urs Schulthess collaborates with scholars based in United States, Mexico and China. Urs Schulthess's co-authors include Zia Ahmed, Lee A. Vierling, Jan U.H. Eitel, M. E. Litvak, Andrew J. McDonald, Daniel Krofcheck, Timothy J. Krupnik, Hartmut Asche, Ingmar Nitze and E. A. Paul and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Frontiers in Plant Science.

In The Last Decade

Urs Schulthess

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Urs Schulthess United States 17 541 508 253 249 222 37 1.2k
Kiril Manevski Denmark 23 376 0.7× 429 0.8× 312 1.2× 195 0.8× 393 1.8× 64 1.3k
Amy L. Kaleita United States 19 305 0.6× 304 0.6× 227 0.9× 352 1.4× 303 1.4× 84 1.2k
Philippe Burger France 10 602 1.1× 906 1.8× 394 1.6× 367 1.5× 274 1.2× 12 1.5k
Christopher Seifert United States 8 696 1.3× 427 0.8× 328 1.3× 254 1.0× 123 0.6× 9 1.1k
Roberto Confalonieri Italy 24 484 0.9× 729 1.4× 435 1.7× 202 0.8× 265 1.2× 67 1.5k
Nithya Rajan United States 23 456 0.8× 803 1.6× 513 2.0× 267 1.1× 454 2.0× 88 1.5k
Peter Lootens Belgium 24 630 1.2× 1.1k 2.1× 234 0.9× 269 1.1× 391 1.8× 87 1.9k
Nathaniel K. Newlands Canada 19 407 0.8× 325 0.6× 339 1.3× 189 0.8× 134 0.6× 56 1.1k
Ruixiu Sui United States 21 285 0.5× 621 1.2× 315 1.2× 331 1.3× 495 2.2× 80 1.3k
Wang Zhou United States 19 313 0.6× 259 0.5× 416 1.6× 308 1.2× 248 1.1× 52 1.2k

Countries citing papers authored by Urs Schulthess

Since Specialization
Citations

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

Fields of papers citing papers by Urs Schulthess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urs Schulthess

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

All Works

20 of 20 papers shown
1.
Ngoma, Hambulo, Brian P. Mulenga, P.S. Setimela, et al.. (2025). The dawn of a legume revolution in Southern Africa: trends, drivers, and implications. Food Security. 17(6). 1493–1515.
2.
Kayad, Ahmed, Francelino A. Rodrigues, Marco Sozzi, et al.. (2022). Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – Retrieving maize LAI to access biomass and grain yield. Field Crops Research. 282. 108449–108449. 40 indexed citations
3.
Zhou, Weiqi, Preeti Rao, M.L. Jat, et al.. (2021). Using Sentinel-2 to Track Field-Level Tillage Practices at Regional Scales in Smallholder Systems. Remote Sensing. 13(24). 5108–5108. 9 indexed citations
4.
Xiong, Wei, Matthew Reynolds, José Crossa, et al.. (2021). Increased ranking change in wheat breeding under climate change. Nature Plants. 7(9). 1207–1212. 46 indexed citations
5.
Yang, Ruoyu, et al.. (2020). Detecting functional field units from satellite images in smallholder farming systems using a deep learning based computer vision approach: A case study from Bangladesh. Remote Sensing Applications Society and Environment. 20. 100413–100413. 31 indexed citations
6.
Kubitza, Christoph, Vijesh V. Krishna, Urs Schulthess, & Meha Jain. (2020). Estimating adoption and impacts of agricultural management practices in developing countries using satellite data. A scoping review. Agronomy for Sustainable Development. 40(3). 27 indexed citations
7.
Schulthess, Urs, et al.. (2019). Farming on the fringe: Shallow groundwater dynamics and irrigation scheduling for maize and wheat in Bangladesh’s coastal delta. Field Crops Research. 239. 135–148. 26 indexed citations
8.
Krupnik, Timothy J., Urs Schulthess, Zia Ahmed, & Andrew J. McDonald. (2019). What Contribution Can Surface Water Irrigation Make to Sustainable Crop Intensification in Bangladesh's Feed the Future Zone?. Faculty of 1000 Research Ltd. 3. 1042.
9.
Rodrigues, Francelino A., Gerald Blasch, Pierre Defourny, et al.. (2018). Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content. Remote Sensing. 10(6). 930–930. 48 indexed citations
10.
Reynolds, Matthew, M.J. Kropff, José Crossa, et al.. (2018). Role of Modelling in International Crop Research: Overview and Some Case Studies. Agronomy. 8(12). 291–291. 49 indexed citations
11.
Krupnik, Timothy J., Urs Schulthess, Zia Ahmed, & Andrew J. McDonald. (2016). Sustainable crop intensification through surface water irrigation in Bangladesh? A geospatial assessment of landscape-scale production potential. Land Use Policy. 60. 206–222. 81 indexed citations
12.
Krofcheck, Daniel, Jan U.H. Eitel, Christopher D. Lippitt, et al.. (2015). Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.. Remote Sensing. 8(1). 20–20. 13 indexed citations
13.
Krofcheck, Daniel, Jan U.H. Eitel, Lee A. Vierling, et al.. (2013). Detecting mortality induced structural and functional changes in a piñon-juniper woodland using Landsat and RapidEye time series. Remote Sensing of Environment. 151. 102–113. 25 indexed citations
14.
Nitze, Ingmar, Urs Schulthess, & Hartmut Asche. (2012). Comparison of machine learning algorithms Random Forest, Artificial Neural Network and Support Vector Machine to Maximum Likelihood for supervised crop type classification. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 87 indexed citations
15.
16.
Schulthess, Urs, Jagadish Timsina, Juan M. Herrera, & Andrew J. McDonald. (2012). Mapping field-scale yield gaps for maize: An example from Bangladesh. Field Crops Research. 143. 151–156. 41 indexed citations
17.
Wang, Shiying, Richard W. Ward, J. T. Ritchie, Ralph Fischer, & Urs Schulthess. (1995). Vernalization in wheat I. A model based on the interchangeability of plant age and vernalization duration. Field Crops Research. 41(2). 91–100. 47 indexed citations
18.
El-Beltagy, Samhaa R., Ahmed Rafea, Ahmed Kamel, et al.. (1995). An Expert System for Wheat Disorders Diagnosis and Treatment Using a Hierarchical Classification Problem Solver. IFAC Proceedings Volumes. 28(4). 257–261. 5 indexed citations
19.
Schulthess, Urs, et al.. (1995). Effects of Variety, Altitude, and Undersowing with Legumes on the Nutritive Value of Wheat Straw. Experimental Agriculture. 31(2). 169–176. 6 indexed citations
20.
Sticklen, Jon, et al.. (1994). Guiding object-oriented design via the knowledge level architecture: The irrigated wheat testbed. Mathematical and Computer Modelling. 20(8). 1–16. 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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