Kheir Eddine Farfar
- Artificial Intelligence top 10%
- Semantic Web and Ontologies 5
- Topic Modeling 3
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- Data Quality and Management 1
- Grey System Theory Applications 1
- Information Systems top 10%
- Research Data Management Practices 2
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- Image and Signal Denoising Methods 1
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- Biomedical Text Mining and Ontologies 4
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- Energy Load and Power Forecasting 2
- Co-authors
- Sören AuerAllard OelenMohamad Yaser JaradehMarkus StockerJennifer D’SouzaManuel PrinzMohamed Tarek KhadirGábor Kismihók
- Cited by
- Information Systems and ManagementArtificial IntelligenceManagement Science and Operations Research
- Journals
- Neural Computing and Applications (1 paper)Scientific Data (1 paper)Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) (1 paper)
In The Last Decade
Kheir Eddine Farfar
6 papers receiving 165 citations
Peers
Comparison fields: 5 of 39
- Information Systems and Management 33
- Artificial Intelligence 119
- Management Science and Operations Research 42
- Information Systems 46
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Kheir Eddine Farfar
This map shows the geographic impact of Kheir Eddine Farfar'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 Kheir Eddine Farfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kheir Eddine Farfar more than expected).
Fields of papers citing papers by Kheir Eddine Farfar
This network shows the impact of papers produced by Kheir Eddine Farfar. 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 Kheir Eddine Farfar. The network helps show where Kheir Eddine Farfar may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Kheir Eddine Farfar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 16 | |
| 3 | 2020 | 33 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 2 | |
| 6 | 2019 | 90 | |
| 7 | 2018 | 25 |
About Kheir Eddine Farfar
Kheir Eddine Farfar is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems, having authored 7 papers that have together received 171 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers), Topic Modeling (3 papers), Energy Load and Power Forecasting (2 papers), Research Data Management Practices (2 papers), Image and Signal Denoising Methods (1 paper), Data Quality and Management (1 paper) and Grey System Theory Applications (1 paper). The work is most often cited by research in Information Systems and Management (33 citations), Artificial Intelligence (119 citations) and Management Science and Operations Research (42 citations). Kheir Eddine Farfar has collaborated with scholars based in Germany, Algeria and Finland. Frequent co-authors include Sören Auer, Allard Oelen, Mohamad Yaser Jaradeh, Markus Stocker, Jennifer D’Souza, Manuel Prinz, Mohamed Tarek Khadir, Gábor Kismihók, Muhammad Haris and Lars Vogt. Their work appears in journals such as Neural Computing and Applications, Scientific Data and Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover).
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.