Suparna De
Impact in
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- IoT and Edge/Fog Computing
- Information Systems top 2%
- Service-Oriented Architecture and Web Services
Papers in
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- Mobile Crowdsensing and Crowdsourcing 8
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- Service-Oriented Architecture and Web Services 14
- Co-authors
- Klaus MoessnerWei WangYuchao ZhouPayam BarnaghiStefan MeißnerMartin BauerQi ChenCharith Perera
- Journals
- Sensors (3 papers)IEEE Access (2 papers)Expert Systems with Applications (2 papers)Scientific Reports (1 paper)Information Sciences (1 paper)
- Partner nations
- United KingdomChinaIndia
In The Last Decade
Suparna De
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Computer Networks and Communications 539
- Information Systems 331
- Computer Vision and Pattern Recognition 282
- Transportation 80
- Computer Science Applications 57
Countries citing papers authored by Suparna De
This map shows the geographic impact of Suparna De'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 Suparna De with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suparna De more than expected).
Fields of papers citing papers by Suparna De
This network shows the impact of papers produced by Suparna De. 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 Suparna De. The network helps show where Suparna De may publish in the future.
Co-authors
The 25 scholars most cited alongside Suparna De, 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 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 60 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 99 | |
| 14 | 2018 | 16 | |
| 15 | 2017 | 52 | |
| 16 | 2014 | 14 | |
| 17 | 2013 | 21 | |
| 18 | 2012 | 65 | |
| 19 | Service modelling for the Internet of Things | 2011 | 133 |
| 20 | 2008 | 1 |
About Suparna De
Suparna De is a scholar working on Computer Science Applications, Information Systems, Computer Networks and Communications, Transportation and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (14 papers), Context-Aware Activity Recognition Systems (12 papers), IoT and Edge/Fog Computing (9 papers), Topic Modeling (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Semantic Web and Ontologies (8 papers), Human Mobility and Location-Based Analysis (5 papers) and Privacy, Security, and Data Protection (4 papers). The work is most often cited by research in Computer Networks and Communications (539 citations), Information Systems (331 citations), Computer Vision and Pattern Recognition (282 citations), Transportation (80 citations) and Computer Science Applications (57 citations). Suparna De has collaborated with scholars based in United Kingdom, China and India. Frequent co-authors include Klaus Moessner, Wei Wang, Yuchao Zhou, Payam Barnaghi, Stefan Meißner, Wei Wang, Martin Bauer, Qi Chen, Charith Perera and Santanu Bhattacharya. Their work appears in journals such as Sensors, IEEE Access, Expert Systems with Applications, Scientific Reports and Information Sciences.
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.