Mohammed Jabreel
- Transportation top 10%
- Artificial Intelligence top 10%
- Topic Modeling 4
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 3
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification 3
- Sociology and Political Science top 10%
- Digital Marketing and Social Media 6
- Diverse Aspects of Tourism Research 3
- Information Systems top 10%
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- Biomedical Text Mining and Ontologies 2
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- Culinary Culture and Tourism 2
Mohammed Jabreel
19 papers receiving 354 citations
Peers
Comparison fields: 5 of 70
- Transportation 50
- Artificial Intelligence 161
- Marketing 45
- Sociology and Political Science 118
- Information Systems 55
Countries citing papers authored by Mohammed Jabreel
This map shows the geographic impact of Mohammed Jabreel'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 Mohammed Jabreel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Jabreel more than expected).
Fields of papers citing papers by Mohammed Jabreel
This network shows the impact of papers produced by Mohammed Jabreel. 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 Mohammed Jabreel. The network helps show where Mohammed Jabreel may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Mohammed Jabreel, 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 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 5 | |
| 5 | End-to-End Neural Coder for Tumor Named Entity Recognition. | 2020 | 1 |
| 6 | 2020 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 2 | |
| 9 | E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks. | 2019 | 2 |
| 10 | ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF. | 2019 | 1 |
| 11 | 2019 | 32 | |
| 12 | 2019 | 111 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 24 | |
| 15 | 2018 | 15 | |
| 16 | 2017 | 7 | |
| 17 | 2017 | 25 | |
| 18 | 2016 | 45 | |
| 19 | 2016 | 50 | |
| 20 | 2015 | 3 |
About Mohammed Jabreel
Mohammed Jabreel is a scholar working on Tourism, Leisure and Hospitality Management, Marketing, Transportation, Artificial Intelligence and Ophthalmology, having authored 22 papers that have together received 372 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Diverse Aspects of Tourism Research (3 papers), Natural Language Processing Techniques (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Culinary Culture and Tourism (2 papers). The work is most often cited by research in Transportation (50 citations), Artificial Intelligence (161 citations), Marketing (45 citations), Sociology and Political Science (118 citations) and Information Systems (55 citations). Mohammed Jabreel has collaborated with scholars based in Spain, Yemen and Austria. Frequent co-authors include Antonio Moreno, Assumpció Huertas, Baraq Ghaleb, Lidija Lalicic, Antoni Martínez-Ballesté, Aı̈da Valls, Domènec Puig, Hatem A. Rashwan, Habib Shah and Sylvie Chambon. Their work appears in journals such as Applied Sciences, Electronics, Journal of Destination Marketing & Management, Pattern Recognition Letters and Information Technology & Tourism.
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.