Affiliation is wrong
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 0.5%
- Cognitive Science and Mapping
- Cognitive Computing and Networks
- Neural Networks and Applications
Papers in
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- Cognitive Science and Mapping 44
- Cognitive Computing and Networks 15
- Neural Networks and Applications 6
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- Multi-Criteria Decision Making 25
- Co-authors
- Elpiniki I. Papageorgiou (7 shared papers)Salvador Bueno (6 shared papers)Cristina López (10 shared papers)Wojciech Froelich (6 shared papers)Inés Herrero (2 shared papers)Rossitza Setchi (2 shared papers)Víctor A. Bañuls (6 shared papers)Rosario Vidal (3 shared papers)
In The Last Decade
Affiliation is wrong
89 papers receiving 3.4k citations
Affiliation is wrong's Hit Papers
Peers
Comparison fields: 5 of 133
- Management Science and Operations Research 1.2k
- Artificial Intelligence 2.2k
- Management Information Systems 536
- Health Informatics 52
- Information Systems and Management 276
Countries citing papers authored by Affiliation is wrong
This map shows the geographic impact of Affiliation is wrong'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 Affiliation is wrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Affiliation is wrong more than expected).
Fields of papers citing papers by Affiliation is wrong
This network shows the impact of papers produced by Affiliation is wrong. 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 Affiliation is wrong. The network helps show where Affiliation is wrong may publish in the future.
Co-authors
The 25 scholars most cited alongside Affiliation is wrong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of Fuzzy Cognitive Maps Research During the Last Decade Hit paper breakdown → | 2012 | 379 |
| 2 | 2008 | 282 | |
| 3 | 2010 | 163 | |
| 4 | 2008 | 160 | |
| 5 | 2004 | 142 | |
| 6 | 2006 | 142 | |
| 7 | 2012 | 123 | |
| 8 | 2009 | 116 | |
| 9 | 2016 | 99 | |
| 10 | 2007 | 91 | |
| 11 | 2011 | 90 | |
| 12 | 2018 | 90 | |
| 13 | 2014 | 86 | |
| 14 | 2011 | 82 | |
| 15 | 2012 | 81 | |
| 16 | 2021 | 80 | |
| 17 | 2012 | 75 | |
| 18 | 2007 | 67 | |
| 19 | 2010 | 66 | |
| 20 | 2013 | 65 |
About Affiliation is wrong
Affiliation is wrong is a scholar working on Artificial Intelligence, Management Science and Operations Research, Management Information Systems, Information Systems and Strategy and Management, having authored 92 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (44 papers), Multi-Criteria Decision Making (25 papers), Cognitive Computing and Networks (15 papers), ERP Systems Implementation and Impact (7 papers), Neural Networks and Applications (6 papers), Technology and Human Factors in Education and Health (6 papers), Competitive and Knowledge Intelligence (6 papers) and Big Data and Business Intelligence (5 papers). The work is most often cited by research in Management Science and Operations Research (1.2k citations), Artificial Intelligence (2.2k citations), Management Information Systems (536 citations), Health Informatics (52 citations) and Information Systems and Management (276 citations). Affiliation is wrong has collaborated with scholars based in Spain, Chile and Greece. Frequent co-authors include Elpiniki I. Papageorgiou, Salvador Bueno, Cristina López, Wojciech Froelich, Inés Herrero, Rossitza Setchi, Víctor A. Bañuls, Rosario Vidal, Ester Gutiérrez and Pedro R. Palos‐Sánchez. Their work appears in journals such as Expert Systems with Applications, Neurocomputing, Technovation, Knowledge-Based Systems and Computer Standards & Interfaces.
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.