Jan‐Henning Feil

700 total citations
26 papers, 458 citations indexed

About

Jan‐Henning Feil is a scholar working on General Agricultural and Biological Sciences, Economics and Econometrics and Finance. According to data from OpenAlex, Jan‐Henning Feil has authored 26 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Agricultural and Biological Sciences, 11 papers in Economics and Econometrics and 4 papers in Finance. Recurrent topics in Jan‐Henning Feil's work include Agricultural Economics and Policy (8 papers), Agricultural Innovations and Practices (6 papers) and Rural development and sustainability (4 papers). Jan‐Henning Feil is often cited by papers focused on Agricultural Economics and Policy (8 papers), Agricultural Innovations and Practices (6 papers) and Rural development and sustainability (4 papers). Jan‐Henning Feil collaborates with scholars based in Germany, China and Switzerland. Jan‐Henning Feil's co-authors include Oliver Mußhoff, Xiaohua Yu, Hanjie Wang, Marius Michels, Alfons Balmann, Hermine Mitter, Calum Brown, Birgit Müller, Nadja El Benni and Robert Huber and has published in prestigious journals such as Sustainability, Biomass and Bioenergy and Land Use Policy.

In The Last Decade

Jan‐Henning Feil

24 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan‐Henning Feil Germany	11	174	161	71	69	48	26	458
Shemei Zhang China	10	171 1.0×	280 1.7×	108 1.5×	71 1.0×	44 0.9×	23	627
Marcelo José Carrer Brazil	12	89 0.5×	195 1.2×	113 1.6×	75 1.1×	34 0.7×	32	471
Hildo Meirelles de Souza Filho Brazil	14	129 0.7×	291 1.8×	169 2.4×	93 1.3×	39 0.8×	51	664
Cristian Rogério Foguesatto Brazil	11	69 0.4×	196 1.2×	131 1.8×	64 0.9×	48 1.0×	35	558
Woldegebrial Zeweld Ethiopia	8	97 0.6×	287 1.8×	109 1.5×	115 1.7×	58 1.2×	22	554
Sylvester Ogutu Germany	10	177 1.0×	321 2.0×	73 1.0×	103 1.5×	16 0.3×	16	617
Getaw Tadesse United States	11	341 2.0×	237 1.5×	57 0.8×	120 1.7×	34 0.7×	21	741
Bismark Amfo Ghana	12	228 1.3×	139 0.9×	57 0.8×	65 0.9×	22 0.5×	34	556
Haroon Sseguya Tanzania	13	78 0.4×	221 1.4×	93 1.3×	48 0.7×	26 0.5×	40	460
Maria Fay Rola‐Rubzen Australia	11	92 0.5×	180 1.1×	46 0.6×	78 1.1×	31 0.6×	62	442

Countries citing papers authored by Jan‐Henning Feil

Since Specialization

Citations

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

Fields of papers citing papers by Jan‐Henning Feil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan‐Henning Feil. 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 Jan‐Henning Feil. The network helps show where Jan‐Henning Feil may publish in the future.

Co-authorship network of co-authors of Jan‐Henning Feil

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

All Works

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20 of 20 papers shown

Pölling, Bernd, et al.. (2025). Towards better tailored new entrant support in European agriculture: Analysing the differences between family successors and newcomers. Journal of Rural Studies. 119. 103787–103787.

Rötter, Reimund P., et al.. (2024). Typologies of South African small-scale farmers and their risk perceptions: an unsupervised machine learning approach. China Agricultural Economic Review. 16(4). 804–827. 1 indexed citations

Pölling, Bernd, et al.. (2023). Clustering Business Models of Heterogeneous Nature-Based Solutions Implementing Innovative Governance and Financing Concepts. Land. 12(12). 2116–2116. 2 indexed citations

Wang, Hanjie, Jan‐Henning Feil, & Xiaohua Yu. (2023). Let the data speak about the cut-off values for multidimensional index: Classification of human development index with machine learning. Socio-Economic Planning Sciences. 87. 101523–101523. 13 indexed citations

Pölling, Bernd, et al.. (2023). Holistic Business Model Conceptualisation—Capturing Sustainability Contributions Illustrated by Nature-Based Solutions. Sustainability. 15(19). 14091–14091. 4 indexed citations

Wang, Jing, et al.. (2021). The Impact of Mobile Finance Use on Livelihoods of Farmers in Rural China. Emerging Markets Finance and Trade. 58(10). 2867–2879. 8 indexed citations

Yu, Xiaohua, et al.. (2021). Farmer typology and implications for policy design – An unsupervised machine learning approach. Land Use Policy. 103. 105328–105328. 44 indexed citations

Michels, Marius, et al.. (2020). “Anytime, anyplace, anywhere”—A sample selection model of mobile internet adoption in german agriculture. Agribusiness. 36(2). 192–207. 25 indexed citations

Wang, Hanjie, Jan‐Henning Feil, & Xiaohua Yu. (2020). Disagreement on sunspots and soybeans futures price. Economic Modelling. 95. 385–393. 7 indexed citations

10.

Yu, Xiaohua, et al.. (2020). The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces. China Agricultural Economic Review. 12(3). 445–458. 89 indexed citations

11.

Michels, Marius, et al.. (2019). An Empirical Study of Internet Use Intensity in German Agriculture. German Journal of Agricultural Economics. 68(1). 6 indexed citations

12.

Meyer, Johannes, et al.. (2019). Internationalization Strategies in the German Dairy Industry and their Influence on the Economic Performance of Firms. International journal on food system dynamics. 10(4). 332–346. 1 indexed citations

13.

Michels, Marius, et al.. (2019). Smartphone adoption and use in agriculture: empirical evidence from Germany. Precision Agriculture. 21(2). 403–425. 124 indexed citations

14.

Feil, Jan‐Henning & Oliver Mußhoff. (2017). Modelling investments in short rotation coppice under uncertainty: A value chain perspective. Biomass and Bioenergy. 108. 224–235. 6 indexed citations

15.

Feil, Jan‐Henning, et al.. (2016). Determinants of loan demand in agriculture: empirical evidence from Germany. Agricultural Finance Review. 76(4). 462–476. 19 indexed citations

16.

Feil, Jan‐Henning, et al.. (2014). Analysing Farmers’ Use of Price Hedging Instruments: An Experimental Approach. Journal of Agricultural & Food Industrial Organization. 12(1). 181–192. 18 indexed citations

17.

Feil, Jan‐Henning, et al.. (2014). Farm level effects of policy reforms in Germany: First empirical evidence. Journal of Policy Modeling. 36(6). 1036–1047. 4 indexed citations

18.

Feil, Jan‐Henning, et al.. (2014). ANALYSING FARMERS’ USE OF PRICE HEDGING IN-STRUMENTS: AN EXPERIMENTAL APPROACH. AgEcon Search (University of Minnesota, USA). 50. 3 indexed citations

19.

Feil, Jan‐Henning, Oliver Mußhoff, & Alfons Balmann. (2012). Policy impact analysis in competitive agricultural markets: a real options approach. European Review of Agricultural Economics. 40(4). 633–658. 18 indexed citations

20.

Gould, Wilbur A., et al.. (1957). Establishment and use of a consumer panel for the evaluation of quality of foods. The Knowledge Bank (The Ohio State University). 1 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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