The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Exploring strengths and weaknesses of bioethanol production from bio-waste in Greece using Fuzzy Cognitive Maps
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“However, both transferring, or adoption of AD techniques may require the involvement of different organisational stakeholders (i.e. multinational corporations) whose culture or strategic drivers could enter into conflict with the affordances or potentialities of AD (Konti and Damigos, 2018).”
From A critical review for the impact of anaerobic digestion on the sustainable development goals (2024) · cites this paper as Konti and Damigos, 2018
Citations
Cites
Kosko, B. (1986) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(86)80040-2 · Cited by 3,576
Structure of Decision: The Cognitive Maps of Political Elites
(2015) · Princeton University Press eBooks · doi:10.1515/9781400871957 · Cited by 1,505
Structure of Decision: The Cognitive Maps of Political Elites
Hill, C. R. (1977) · International Affairs · doi:10.2307/2616237 · Cited by 1,216
Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach
Özesmi, U., & Özesmi, S. L. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2003.10.027 · Cited by 1,048
Reflections on shared cognition
Cannon‐Bowers, J. A., & Salas, E. (2001) · Journal of Organizational Behavior · doi:10.1002/job.82 · Cited by 848
Eden, C., Ackermann, F., & Cropper, S. (1992) · Journal of Management Studies · doi:10.1111/j.1467-6486.1992.tb00667.x · Cited by 549
Green conversion of municipal solid wastes into fuels and chemicals
Matsakas, L., Gao, Q., Jansson, S., Rova, U., & Christakopoulos, P. (2017) · Electronic Journal of Biotechnology · doi:10.1016/j.ejbt.2017.01.004 · Cited by 309
van Vliet, M., Kok, K., & Veldkamp, T. (2010) · Futures · doi:10.1016/j.futures.2009.08.005 · Cited by 288
Gray, S. A., Gray, S., De Kok, J. L., Helfgott, A. E. R., O'Dwyer, B., Jordan, R., & Nyaki, A. (2015) · Ecology and Society · doi:10.5751/es-07396-200211 · Cited by 284
Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs
Gray, S. A., Zanre, E., & Gray, S. (2013) · Intelligent systems reference library · doi:10.1007/978-3-642-39739-4_2 · Cited by 259
Cited by
A critical review for the impact of anaerobic digestion on the sustainable development goals
Piadeh, F., Offie, I., Behzadian, K., Rizzuto, J. P., Bywater, A., Córdoba-Pachón, J.-R., & Walker, M. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.119458 · Cited by 177
“However, both transferring, or adoption of AD techniques may require the involvement of different organisational stakeholders (i.e. multinational corporations) whose culture or strategic drivers could enter into conflict with the affordances or potentialities of AD (Konti and Damigos, 2018).”
Metadata
- Authors
- Konti, A., & Damigos, D.
- Affiliations
- National Technical University of Athens (GR)
- Corresponding author
- Konti, A.
- ORCID
- Damigos, D.
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 112
- Pages
- 4-11
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W2762483633
- Cited by
- 34
- References
- 30
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 8 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 6 · 2019: 6 · 2018: 4
- FWCI
- 2.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Energy Policy (publishedVersion)
- Funders
- IKY Fellowships of Excellence for Postgraduate Studies in Greece – Siemens Programme (2016-017-0173-10290)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
- Physical Sciences › Environmental Science › Waste Management and Disposal › Municipal Solid Waste Management
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Bioeconomy and Sustainability Development
- Keywords
- bioethanol production, organic waste, municipal solid waste, fuzzy cognitive maps, stakeholder perspectives, political factors, social factors, renewable energy, waste valorization, Greece
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Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Exploring strengths and weaknesses of bioethanol production from bio-waste in Greece using Fuzzy Cognitive Maps. https://app.cochat.ai/papers/10.1016/j.enpol.2017.09.053
- The paper
- Konti, A., & Damigos, D. (2018). Exploring strengths and weaknesses of bioethanol production from bio-waste in Greece using Fuzzy Cognitive Maps. Energy Policy. https://doi.org/10.1016/j.enpol.2017.09.053
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
