Stefan Niemeyer

938 total citations
21 papers, 477 citations indexed

About

Stefan Niemeyer is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Global and Planetary Change. According to data from OpenAlex, Stefan Niemeyer has authored 21 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, Evolution, Behavior and Systematics, 9 papers in Plant Science and 8 papers in Global and Planetary Change. Recurrent topics in Stefan Niemeyer's work include Climate change impacts on agriculture (11 papers), Climate variability and models (5 papers) and Greenhouse Technology and Climate Control (5 papers). Stefan Niemeyer is often cited by papers focused on Climate change impacts on agriculture (11 papers), Climate variability and models (5 papers) and Greenhouse Technology and Climate Control (5 papers). Stefan Niemeyer collaborates with scholars based in Italy, Belgium and Germany. Stefan Niemeyer's co-authors include Davide Fumagalli, J. Wolf, Iwan Supit, M.K. van Ittersum, Hendrik Boogaard, Andrej Ceglar, Grégory Duveiller, Marcello Donatelli, Amit Kumar Srivastava and Andrea Toreti and has published in prestigious journals such as Field Crops Research, Environmental Research Letters and Hydrology and earth system sciences.

In The Last Decade

Stefan Niemeyer

19 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Niemeyer Italy 11 216 210 189 93 73 21 477
Reinder De Jong Canada 11 193 0.9× 238 1.1× 164 0.9× 70 0.8× 89 1.2× 18 427
Sabina Thaler Austria 11 242 1.1× 248 1.2× 206 1.1× 78 0.8× 117 1.6× 23 533
Kees van Diepen Netherlands 5 144 0.7× 231 1.1× 234 1.2× 110 1.2× 74 1.0× 6 460
Rémi Lecerf France 11 231 1.1× 287 1.4× 282 1.5× 159 1.7× 93 1.3× 17 630
M. D. M. Kadiyala India 12 164 0.8× 219 1.0× 250 1.3× 62 0.7× 86 1.2× 21 512
Bernard Šiška Slovakia 6 186 0.9× 288 1.4× 277 1.5× 92 1.0× 129 1.8× 20 520
Barış Çaldağ Türkiye 4 188 0.9× 311 1.5× 272 1.4× 80 0.9× 127 1.7× 14 490
Wilfried Mirschel Germany 5 155 0.7× 266 1.3× 238 1.3× 74 0.8× 105 1.4× 8 433
Syeda Refat Sultana Pakistan 12 215 1.0× 108 0.5× 272 1.4× 129 1.4× 92 1.3× 19 566
Yuji Masutomi Japan 15 272 1.3× 221 1.1× 283 1.5× 85 0.9× 40 0.5× 36 641

Countries citing papers authored by Stefan Niemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Niemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Niemeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Niemeyer. A scholar is included among the top collaborators of Stefan Niemeyer 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 Stefan Niemeyer. Stefan Niemeyer 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.
Gelati, Emiliano, Marijn van der Velde, Simona Bassu, et al.. (2022). Estimation of spatial distribution of irrigated crop areas in Europe for large-scale modelling applications. Agricultural Water Management. 266. 107527–107527. 22 indexed citations
2.
Bassu, Simona, Davide Fumagalli, Andrea Toreti, et al.. (2021). Modelling potential maize yield with climate and crop conditions around flowering. Field Crops Research. 271. 108226–108226. 23 indexed citations
3.
Toreti, Andrea, Thomas Fellmann, Christian Elleby, et al.. (2020). Analysis of climate change impacts on EU agriculture by 2050. Joint Research Centre (European Commission). 34 indexed citations
4.
Toreti, Andrea, Andrea Maiorano, Giacomo De Sanctis, et al.. (2018). Using reanalysis in crop monitoring and forecasting systems. Agricultural Systems. 168. 144–153. 34 indexed citations
5.
Velde, Marijn van der, et al.. (2018). Use and relevance of European Union crop monitoring and yield forecasts. Agricultural Systems. 168. 224–230. 28 indexed citations
6.
Pagani, Valentina, Tommaso Guarneri, Davide Fumagalli, et al.. (2017). Improving cereal yield forecasts in Europe – The impact of weather extremes. European Journal of Agronomy. 89. 97–106. 38 indexed citations
7.
Donatelli, Marcello, Amit Kumar Srivastava, Grégory Duveiller, Stefan Niemeyer, & Davide Fumagalli. (2015). Climate change impact and potential adaptation strategies under alternate realizations of climate scenarios for three major crops in Europe. Environmental Research Letters. 10(7). 75005–75005. 53 indexed citations
8.
Blanco, María, Andrej Ceglar, Robert M’barek, et al.. (2013). "Still a challenge - interaction of biophysical and economic models for crop production and market analysis". 2 indexed citations
9.
Rossi, Simone & Stefan Niemeyer. (2012). Drought Monitoring with Estimates of the Fraction of Absorbed Photosynthetically-Active Radiation (fAPAR) Derived from MERIS. Joint Research Centre (European Commission). 3 indexed citations
10.
Boogaard, Hendrik, J. Wolf, Iwan Supit, Stefan Niemeyer, & M.K. van Ittersum. (2012). A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union. Field Crops Research. 143. 130–142. 109 indexed citations
11.
Confalonieri, Roberto, Simone Bregaglio, G. Cappelli, et al.. (2012). Wheat modeling in Morocco unexpectedly reveals predominance of photosynthesis versus leaf area expansion plant traits. Agronomy for Sustainable Development. 33(2). 393–403. 8 indexed citations
12.
Baruth, Bettina, et al.. (2012). CROP MONITORING IN EUROPE. Joint Research Centre (European Commission). 13 indexed citations
13.
Donatelli, Marcello, Amit Kumar Srivastava, Grégory Duveiller, & Stefan Niemeyer. (2012). Estimating impact assessment and adaptation strategies under climate change scenarios for crops at EU27 scale. ScholarsArchive (Brigham Young University). 7 indexed citations
14.
Rossi, Simone, Stefan Niemeyer, & Nadine Gobron. (2010). MERIS fAPAR as a Drought Indicator: Performance in Different Contexts. ESASP. 686. 183. 1 indexed citations
15.
Niemeyer, Stefan, et al.. (2009). Current state of development of the European Drought Observatory. EGUGA. 12802. 9 indexed citations
16.
Niemeyer, Stefan, et al.. (2008). On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates. Hydrology and earth system sciences. 12(6). 1339–1351. 28 indexed citations
17.
Niemeyer, Stefan. (2008). New Drought Indices. Joint Research Centre (European Commission). 50 indexed citations
18.
Lavalle, Carlo, et al.. (2006). Pan European Assessment of Weather Driven Natural Risks. Joint Research Centre (European Commission). 5 indexed citations
19.
20.
Vogt, J., et al.. (1998). DROUGHT MONITORING FROM SPACE USING EMPIRICAL INDICES AND PHYSICAL INDICATORS. 8 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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