Faiçal Akaichi

898 total citations
50 papers, 593 citations indexed

About

Faiçal Akaichi is a scholar working on Economics and Econometrics, Plant Science and Ecology. According to data from OpenAlex, Faiçal Akaichi has authored 50 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 15 papers in Plant Science and 14 papers in Ecology. Recurrent topics in Faiçal Akaichi's work include Economic and Environmental Valuation (26 papers), Organic Food and Agriculture (15 papers) and Agriculture Sustainability and Environmental Impact (14 papers). Faiçal Akaichi is often cited by papers focused on Economic and Environmental Valuation (26 papers), Organic Food and Agriculture (15 papers) and Agriculture Sustainability and Environmental Impact (14 papers). Faiçal Akaichi collaborates with scholars based in United Kingdom, United States and Spain. Faiçal Akaichi's co-authors include Rodolfo M. Nayga, José María Gil Roig, Cesar Revoredo‐Giha, Klaus Glenk, Simon P. Turner, Irene Camerlink, Lawton Lanier Nalley, Laura Boyle, Jürgen Meyerhoff and Julia Martín-Ortega and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Faiçal Akaichi

46 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faiçal Akaichi United Kingdom 16 218 181 154 126 116 50 593
Sari Forsman‐Hugg Finland 7 93 0.4× 158 0.9× 179 1.2× 159 1.3× 193 1.7× 20 502
Jae Bong Chang South Korea 9 274 1.3× 151 0.8× 136 0.9× 64 0.5× 51 0.4× 31 522
Morten Raun Mørkbak Denmark 17 687 3.2× 182 1.0× 182 1.2× 88 0.7× 85 0.7× 33 1.0k
Gemma Harper United Kingdom 4 53 0.2× 288 1.6× 225 1.5× 149 1.2× 123 1.1× 5 617
Trey Malone United States 17 268 1.2× 243 1.3× 127 0.8× 184 1.5× 86 0.7× 70 748
Janneke de Jonge Netherlands 16 81 0.4× 223 1.2× 241 1.6× 497 3.9× 144 1.2× 16 1.0k
Sigrid Denver Denmark 16 333 1.5× 528 2.9× 270 1.8× 329 2.6× 235 2.0× 48 1.1k
Laping Wu China 13 327 1.5× 338 1.9× 172 1.1× 320 2.5× 86 0.7× 50 928
Marcus Mergenthaler Germany 11 93 0.4× 212 1.2× 47 0.3× 78 0.6× 57 0.5× 67 524
Samuele Trestini Italy 12 213 1.0× 213 1.2× 69 0.4× 94 0.7× 54 0.5× 52 786

Countries citing papers authored by Faiçal Akaichi

Since Specialization
Citations

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

Fields of papers citing papers by Faiçal Akaichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faiçal Akaichi

This figure shows the co-authorship network connecting the top 25 collaborators of Faiçal Akaichi. A scholar is included among the top collaborators of Faiçal Akaichi 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 Faiçal Akaichi. Faiçal Akaichi 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.
Siegford, Janice M., et al.. (2025). Precision livestock farming usage among a subset of U.S. swine producers: Insights through a structural equation modeling approach. Smart Agricultural Technology. 10. 100839–100839. 4 indexed citations
2.
Akaichi, Faiçal, et al.. (2025). What Drives Pet Food Choices? A Systematic Literature Review. Animals. 15(22). 3235–3235.
3.
Moro, Daniele, José María Gil Roig, Cesar Revoredo‐Giha, et al.. (2024). Simulating the impact of a carbon tax on food in four European countries. QRU Quaderns de Recerca en Urbanisme. 4(2). 1 indexed citations
4.
Mtimet, Nadhem, Eric M. Fèvre, Lian F. Thomas, et al.. (2024). Consumer preferences and willingness to pay for safe pork products in rural Kenya. Meat Science. 211. 109450–109450. 3 indexed citations
5.
Akaichi, Faiçal, et al.. (2024). Effectiveness of implemented global dietary interventions: a scoping review of fiscal policies. BMC Public Health. 24(1). 2552–2552. 1 indexed citations
6.
Akaichi, Faiçal, et al.. (2023). US Swine Industry Stakeholder Perceptions of Precision Livestock Farming Technology: A Q-Methodology Study. Animals. 13(18). 2930–2930. 1 indexed citations
7.
Roig, José María Gil, et al.. (2023). Assessment of social demand for environmental and cultural heritage preservation: evidence from a discrete choice experiment in Tunisia. SHILAP Revista de lepidopterología. 2. 1 indexed citations
8.
Vigors, Belinda, Simon P. Turner, Faiçal Akaichi, et al.. (2023). Precision livestock farming: a qualitative exploration of swine industry stakeholders. SHILAP Revista de lepidopterología. 4. 9 indexed citations
9.
Revoredo‐Giha, Cesar, Luiza Toma, Faiçal Akaichi, & Ian K. Dawson. (2022). Exploring the effects of increasing underutilized crops on consumers’ diets: the case of millet in Uganda. Agricultural and Food Economics. 10(1). 1–1. 14 indexed citations
10.
Revoredo‐Giha, Cesar, et al.. (2022). Expenditure and Nutritional Impact of Banning the Promotion of Foods High in Fat, Sugar and Salt in Scotland. Frontiers in Nutrition. 9. 874018–874018. 2 indexed citations
11.
Turner, Simon P., et al.. (2021). An estimation of the financial consequences of reducing pig aggression. PLoS ONE. 16(5). e0250556–e0250556. 8 indexed citations
12.
Akaichi, Faiçal, et al.. (2019). Pig farmers’ willingness to pay for management strategies to reduce aggression between pigs. PLoS ONE. 14(11). e0224924–e0224924. 8 indexed citations
13.
Akaichi, Faiçal, et al.. (2016). Substitutes or Complements? Consumers’ Preferences and Willingness to Pay for Animal Welfare, Organic, Local and Low Fat Food Attributes. AgEcon Search (University of Minnesota, USA). 1 indexed citations
14.
de‐Magistris, Tiziana, Faiçal Akaichi, & Kamel Ben Youssef. (2016). Testing the effectiveness of the oath script in reducing the hypothetical bias in the Contingent Valuation Method. Agricultural Economics (Zemědělská ekonomika). 62(8). 378–384. 4 indexed citations
15.
Akaichi, Faiçal, et al.. (2015). Vitamin D deficiency and posterior subcapsular cataract. Clinical ophthalmology. 9. 1093–1093. 29 indexed citations
16.
Latvala, Terhi, et al.. (2015). What are domestic apples worth? Hedonic responses and sensory information as drivers of willingness to pay. Food Quality and Preference. 43. 97–105. 20 indexed citations
17.
Akaichi, Faiçal, et al.. (2014). The demand for dairy products in Malawi. African Journal of Agricultural and Resource Economics. 9(3). 12–225. 1 indexed citations
18.
Lawless, Lydia J.R., Rodolfo M. Nayga, Faiçal Akaichi, et al.. (2012). Willingness‐to‐Pay for a Nutraceutical‐Rich Juice Blend. Journal of Sensory Studies. 27(5). 375–383. 17 indexed citations
19.
Akaichi, Faiçal, et al.. (2011). Initial Endowment Effects in Multi-Unit Vickrey Auctions. Advances in management and applied economics. 2(4). 1–21. 2 indexed citations
20.
Akaichi, Faiçal, et al.. (2009). ASSESSING CONSUMERS’ WILLINGNESS TO PAY FOR DIFFERENT UNITS OF ORGANIC MILK: EVIDENCE FROM MULTI-UNIT AUCTIONS. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 2 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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