Wolfram Spreer

1.4k total citations
41 papers, 965 citations indexed

About

Wolfram Spreer is a scholar working on Plant Science, Soil Science and Global and Planetary Change. According to data from OpenAlex, Wolfram Spreer has authored 41 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 11 papers in Soil Science and 9 papers in Global and Planetary Change. Recurrent topics in Wolfram Spreer's work include Plant Physiology and Cultivation Studies (17 papers), Irrigation Practices and Water Management (11 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Wolfram Spreer is often cited by papers focused on Plant Physiology and Cultivation Studies (17 papers), Irrigation Practices and Water Management (11 papers) and Plant Water Relations and Carbon Dynamics (9 papers). Wolfram Spreer collaborates with scholars based in Germany, Thailand and Japan. Wolfram Spreer's co-authors include Joachim Müller, Somchai Ongprasert, Marcus Nagle, Shamaila Zia, Reinhold Carle, Jill E. Cairns, J. L. Araus, Giuseppe Romano, Ciro Sánchez and Shinji Fukuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Food Engineering and Computers and Electronics in Agriculture.

In The Last Decade

Wolfram Spreer

38 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfram Spreer Germany 17 718 215 154 149 136 41 965
G. Roccuzzo Italy 14 443 0.6× 211 1.0× 106 0.7× 76 0.5× 82 0.6× 42 643
Luigi Manfrini Italy 19 1.0k 1.4× 192 0.9× 272 1.8× 95 0.6× 108 0.8× 114 1.2k
Brunella Morandi Italy 19 968 1.3× 208 1.0× 300 1.9× 63 0.4× 92 0.7× 78 1.1k
Antônio José Steidle Neto Brazil 15 292 0.4× 110 0.5× 104 0.7× 150 1.0× 154 1.1× 76 720
Lutz Damerow Germany 20 768 1.1× 71 0.3× 64 0.4× 154 1.0× 129 0.9× 72 1.1k
M.G. O’Connell Australia 17 470 0.7× 183 0.9× 233 1.5× 47 0.3× 191 1.4× 52 766
Angelo Petrozza Italy 18 958 1.3× 60 0.3× 69 0.4× 92 0.6× 111 0.8× 43 1.3k
Jesús A. Gil-Ribes Spain 20 749 1.0× 154 0.7× 55 0.4× 61 0.4× 198 1.5× 47 1.1k
Sérgio Zolnier Brazil 20 684 1.0× 327 1.5× 188 1.2× 86 0.6× 239 1.8× 92 1.2k
Johannes Ravn Jørgensen Denmark 18 455 0.6× 173 0.8× 105 0.7× 144 1.0× 221 1.6× 38 835

Countries citing papers authored by Wolfram Spreer

Since Specialization
Citations

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

Fields of papers citing papers by Wolfram Spreer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfram Spreer

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfram Spreer. A scholar is included among the top collaborators of Wolfram Spreer 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 Wolfram Spreer. Wolfram Spreer 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.
Spreer, Wolfram, et al.. (2022). Thermal imaging for assessment of maize water stress and yield prediction under drought conditions. Journal of Agronomy and Crop Science. 209(1). 56–70. 41 indexed citations
2.
Yasunaga, Eriko, et al.. (2018). Quality Changes in Fresh Mango Fruits (<i>Mangifera indica</i> L. ‘Nam Dok Mai’) Under Actual Distribution Temperature Profile from Thailand to Japan. Environment Control in Biology. 56(2). 45–49. 11 indexed citations
3.
Yasunaga, Eriko, Shinji Fukuda, Marcus Nagle, & Wolfram Spreer. (2018). Effect of Storage Conditions on the Postharvest Quality Changes of Fresh Mango Fruits for Export during Transportation. Environment Control in Biology. 56(2). 39–44. 10 indexed citations
4.
Nagle, Marcus, et al.. (2015). Development and assessment of different modeling approaches for size-mass estimation of mango fruits (Mangifera indica L., cv. ‘Nam Dokmai’). Computers and Electronics in Agriculture. 114. 269–276. 49 indexed citations
5.
Spreer, Wolfram, et al.. (2014). Effect of Dust Deposition on Stomatal Conductance and Leaf Temperature of Cotton in Northwest China. Water. 7(1). 116–131. 72 indexed citations
6.
7.
Zia, Shamaila, et al.. (2013). Rapid phenotyping of different maize varieties under drought stress by using thermal images. University writing server of the University of Hohenheim (Universität Hohenheim). 4 indexed citations
8.
Yasunaga, Eriko, et al.. (2013). COMPARISON OF POSTHARVEST QUALITY CHANGES OF EXPORT MANGO FRUIT FROM DIFFERENT HARVEST SITES IN THAILAND. Acta Horticulturae. 423–428. 2 indexed citations
9.
Zia, Shamaila, et al.. (2012). Assessing crop water stress of winter wheat by thermography under different irrigation regimes in North China Plain. International journal of agricultural and biological engineering. 5(3). 24–34. 22 indexed citations
10.
Sruamsiri, Pittaya, et al.. (2012). Harvest maturity detection for ‘Nam Dokmai #4’ mango fruit (Mangifera indica L.) in consideration of long supply chains. Postharvest Biology and Technology. 72. 64–75. 35 indexed citations
11.
Fukuda, Shinji, et al.. (2012). Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes. Agricultural Water Management. 116. 142–150. 69 indexed citations
12.
Yasunaga, Eriko, et al.. (2012). EFFECT OF POST-HARVEST DISTRIBUTION ENVIRONMENT ON QUALITY DETERIORATION OF MANGO FRUITS. Acta Horticulturae. 921–927. 4 indexed citations
13.
14.
Romano, Giuseppe, Shamaila Zia, Wolfram Spreer, et al.. (2011). Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress. Computers and Electronics in Agriculture. 79(1). 67–74. 91 indexed citations
15.
Sringarm, Korawan, et al.. (2011). BIOMASS FORMATION AND NUTRIENT PARTITIONING IN POTTED LONGAN TREES UNDER PARTIAL ROOTZONE DRYING. Acta Horticulturae. 587–592. 2 indexed citations
16.
Zia, Shamaila, et al.. (2010). Conference on International Research on Food Security, Natural Resource Management and Rural Development Effect of Wind and Radiation on the Crop Water Stress Index Derived by Infrared Thermography. 1 indexed citations
17.
Ongprasert, Somchai, et al.. (2010). THE FACTORS AFFECTING LONGAN FLOWER INDUCTION BY CHLORATE. Acta Horticulturae. 375–380. 2 indexed citations
18.
Spreer, Wolfram, Somchai Ongprasert, M. Hegele, J. Wünsche, & Joachim Müller. (2008). Yield and fruit development in mango (Mangifera indica L. cv. Chok Anan) under different irrigation regimes. Agricultural Water Management. 96(4). 574–584. 75 indexed citations
19.
Spreer, Wolfram, et al.. (2007). Water Consumption of Greenhouse Lychee Trees under Partial Rootzone Drying. eCommons (Cornell University). 5 indexed citations
20.
Spreer, Wolfram, et al.. (2007). The Potential of Bamboo as a Source of Renewable Energy in Northern Laos. 7 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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