Dhavalkumar Thakker
Impact in
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- Technology Adoption and User Behaviour
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- Digital Transformation in Industry
Papers in
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- Semantic Web and Ontologies 23
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- Service-Oriented Architecture and Web Services 9
- Co-authors
- Jyoti Mishra (3 shared papers)Suvodeep Mazumdar (8 shared papers)Mohamad Osmani (1 shared paper)Vishanth Weerakkody (1 shared paper)Kawaljeet Kaur Kapoor (1 shared paper)Ramzi El‐Haddadeh (1 shared paper)Vania Dimitrova (12 shared papers)Taha Osman (10 shared papers)
- Journals
- Sensors (4 papers)Transactions on Emerging Telecommunications Technologies (2 papers)Semantic Web (2 papers)Computing (2 papers)Future Internet (1 paper)
- Partner nations
- United KingdomIndiaChina
In The Last Decade
Dhavalkumar Thakker
61 papers receiving 620 citations
Peers
Comparison fields: 5 of 108
- Information Systems and Management 52
- Industrial and Manufacturing Engineering 72
- Media Technology 60
- Information Systems 120
- Marketing 48
Countries citing papers authored by Dhavalkumar Thakker
This map shows the geographic impact of Dhavalkumar Thakker'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 Dhavalkumar Thakker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhavalkumar Thakker more than expected).
Fields of papers citing papers by Dhavalkumar Thakker
This network shows the impact of papers produced by Dhavalkumar Thakker. 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 Dhavalkumar Thakker. The network helps show where Dhavalkumar Thakker may publish in the future.
Co-authors
The 25 scholars most cited alongside Dhavalkumar Thakker, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2020 | 84 | |
| 3 | 2021 | 52 | |
| 4 | 2020 | 36 | |
| 5 | 2013 | 29 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2006 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2013 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2019 | 8 |
About Dhavalkumar Thakker
Dhavalkumar Thakker is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 652 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Service-Oriented Architecture and Web Services (9 papers), Air Quality Monitoring and Forecasting (6 papers), Data Management and Algorithms (5 papers), IoT and Edge/Fog Computing (5 papers), Data Quality and Management (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Information Systems and Management (52 citations), Industrial and Manufacturing Engineering (72 citations), Media Technology (60 citations), Information Systems (120 citations) and Marketing (48 citations). Dhavalkumar Thakker has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include Jyoti Mishra, Suvodeep Mazumdar, Mohamad Osmani, Vishanth Weerakkody, Kawaljeet Kaur Kapoor, Ramzi El‐Haddadeh, Vania Dimitrova, Taha Osman, Irfan‐Ullah Awan and Savas Konur. Their work appears in journals such as Sensors, Transactions on Emerging Telecommunications Technologies, Semantic Web, Computing and Future Internet.
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.