Ashkan Pakseresht

650 total citations · 1 hit paper
17 papers, 424 citations indexed

About

Ashkan Pakseresht is a scholar working on Strategy and Management, Food Science and Plant Science. According to data from OpenAlex, Ashkan Pakseresht has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Strategy and Management, 5 papers in Food Science and 5 papers in Plant Science. Recurrent topics in Ashkan Pakseresht's work include Food Waste Reduction and Sustainability (5 papers), Genetically Modified Organisms Research (5 papers) and Blockchain Technology Applications and Security (4 papers). Ashkan Pakseresht is often cited by papers focused on Food Waste Reduction and Sustainability (5 papers), Genetically Modified Organisms Research (5 papers) and Blockchain Technology Applications and Security (4 papers). Ashkan Pakseresht collaborates with scholars based in Sweden, United Kingdom and Italy. Ashkan Pakseresht's co-authors include Sina Ahmadi Kaliji, Maurizio Canavari, Carl Johan Lagerkvist, Ali Yavari, Sebastian Heß, Stefanie Bröring, Brandon R. McFadden, Cecilia Mark‐Herbert, Aleksandar Vidaković and Lynn J. Frewer and has published in prestigious journals such as PLoS ONE, Trends in Food Science & Technology and Technological Forecasting and Social Change.

In The Last Decade

Ashkan Pakseresht

16 papers receiving 412 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of factors affecting consumer acceptance of cultured meat

2021 193 citations Ashkan Pakseresht, Sina Ahmadi Kaliji et al. Appetite profile →

Peers

Ashkan Pakseresht

ECOLO

MARKE

Sina Ahmadi Kaliji Italy

Juan Buitrago‐Vera Spain

Meike Rombach New Zealand

Kyösti Pennanen Finland

Fredrik Fernqvist Sweden

Carlos Díaz‐Caro Spain

Peter Slade Canada

Giulia Maesano Italy

Dian Zhu China

Sina Ahmadi Kaliji Italy

Ashkan Pakseresht

231 ×1.4

154 ×1.1

ECOLO

67 ×0.7

101 ×1.4

MARKE

61 ×1.1

Citations per year, relative to Ashkan Pakseresht Ashkan Pakseresht (= 1×) peers Sina Ahmadi Kaliji

Countries citing papers authored by Ashkan Pakseresht

Since Specialization

Citations

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

Fields of papers citing papers by Ashkan Pakseresht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Pakseresht

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

All Works

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17 of 17 papers shown

Pakseresht, Ashkan, et al.. (2025). Towards a sustainable and circular blue bioeconomy: A scoping review. Technological Forecasting and Social Change. 216. 124157–124157. 3 indexed citations

Kaliji, Sina Ahmadi, Ashkan Pakseresht, & Jean-François J.-F. Hocquette. (2025). Can blockchain revolutionize meat production? Addressing transparency, trust, and compliance in conventional and cultured meat. Trends in Food Science & Technology. 163. 105197–105197. 1 indexed citations

Pakseresht, Ashkan, et al.. (2025). Digital twin role for sustainable and resilient renewable power plants: A systematic literature review. Sustainable Energy Technologies and Assessments. 75. 104197–104197. 9 indexed citations

Pakseresht, Ashkan, et al.. (2024). Blockchain technology characteristics essential for the agri-food sector: A systematic review. Food Control. 165. 110661–110661. 7 indexed citations

Azar, Goudarz, Georgios Batsakis, Rian Drogendijk, Ashkan Pakseresht, & Ruoqi Geng. (2024). Institutional distance and location choice: an experimental approach to the perception puzzle. International Marketing Review. 41(3/4). 717–744. 1 indexed citations

Pakseresht, Ashkan, Aleksandar Vidaković, & Lynn J. Frewer. (2023). Factors affecting consumers’ evaluation of food derived from animals fed insect meal: A systematic review. Trends in Food Science & Technology. 138. 310–322. 9 indexed citations

Pakseresht, Ashkan, et al.. (2022). How Blockchain Facilitates the Transition toward Circular Economy in the Food Chain?. Sustainability. 14(18). 11754–11754. 28 indexed citations

Pakseresht, Ashkan, et al.. (2022). The intersection of blockchain technology and circular economy in the agri-food sector. Sustainable Production and Consumption. 35. 260–274. 69 indexed citations

Pakseresht, Ashkan, Sina Ahmadi Kaliji, & Maurizio Canavari. (2021). Review of factors affecting consumer acceptance of cultured meat. Appetite. 170. 105829–105829. 193 indexed citations breakdown →

10.

Pakseresht, Ashkan, Anna Kristina Edenbrandt, & Carl Johan Lagerkvist. (2021). Genetically modified food and consumer risk responsibility: The effect of regulatory design and risk type on cognitive information processing. PLoS ONE. 16(6). e0252580–e0252580. 2 indexed citations

11.

Baum, Chad M., et al.. (2019). Examining the social acceptance of genetically modified bioenergy in Germany: Labels, information valence, corporate actors, and consumer decisions. Energy Research & Social Science. 60. 101308–101308. 8 indexed citations

12.

Pakseresht, Ashkan, Brandon R. McFadden, & Carl Johan Lagerkvist. (2017). Consumer acceptance of food biotechnology based on policy context and upstream acceptance: evidence from an artefactual field experiment. European Review of Agricultural Economics. 44(5). 757–780. 15 indexed citations

13.

Pakseresht, Ashkan, et al.. (2017). Debunking the myth of general consumer rejection of green genetic engineering: Empirical evidence from Germany. International Journal of Consumer Studies. 41(6). 723–734. 14 indexed citations

14.

Heß, Sebastian, et al.. (2016). Consumers’ evaluation of biotechnologically modified food products: new evidence from a meta-survey. European Review of Agricultural Economics. 43(5). 703–736. 54 indexed citations

15.

Pakseresht, Ashkan & Cecilia Mark‐Herbert. (2016). Thought Piece A review of sustainable development in brand value assessments. 6(3). 219–247. 4 indexed citations

16.

Pakseresht, Ashkan & Cecilia Mark‐Herbert. (2014). Leveraging brand value through corporate responsibility. International Journal of Sustainable Development. 17(3). 281–281.

17.

Mark‐Herbert, Cecilia, et al.. (2010). A triple bottom line to ensure Corporate Responsibility. Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences)). 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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