Elena Simperl
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing 32
- Ecological Modeling top 5%
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- Scientific Computing and Data Management 16
- Information Systems top 1%
- Service-Oriented Architecture and Web Services 33
- Communication top 2%
- Wikis in Education and Collaboration 24
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- Semantic Web and Ontologies 81
- Topic Modeling 27
- Natural Language Processing Techniques 19
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- Data Quality and Management 36
Elena Simperl
187 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 124
- Computer Science Applications 412
- Ecological Modeling 148
- Information Systems and Management 227
- Information Systems 712
- Communication 214
Countries citing papers authored by Elena Simperl
This map shows the geographic impact of Elena Simperl'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 Elena Simperl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Simperl more than expected).
Fields of papers citing papers by Elena Simperl
This network shows the impact of papers produced by Elena Simperl. 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 Elena Simperl. The network helps show where Elena Simperl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena Simperl, 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 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 40 | |
| 15 | 2020 | 1 | |
| 16 | A framework for data sharing for open innovation | 2019 | 1 |
| 17 | Data Sharing Toolkit: Lessons learned, resources and recommendations for sharing data | 2019 | 1 |
| 18 | Structured and uncertainty-aware data storytelling | 2019 | 1 |
| 19 | On Blockchains and the General Data Protection Regulation | 2018 | 17 |
| 20 | Raising the stakes in Linked Data education | 2014 | 1 |
About Elena Simperl
Elena Simperl is a scholar working on Computer Science Applications, Communication and Artificial Intelligence, having authored 199 papers that have together received 2.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (81 papers), Data Quality and Management (36 papers), Service-Oriented Architecture and Web Services (33 papers), Mobile Crowdsensing and Crowdsourcing (32 papers), Topic Modeling (27 papers), Wikis in Education and Collaboration (24 papers), Natural Language Processing Techniques (19 papers) and Scientific Computing and Data Management (16 papers). The work is most often cited by research in Computer Science Applications (412 citations), Ecological Modeling (148 citations) and Information Systems and Management (227 citations). Elena Simperl has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Markus Luczak–Roesch, Ramine Tinati, Wendy Hall, Laura Koesten, Katharina Siorpaes, Max Van Kleek, Luis Ibáñez, Nigel Shadbolt, Reto Krummenacher and Pavlos Vougiouklis. Their work appears in journals such as Journal of Web Semantics, Semantic Web, IEEE Intelligent Systems, Proceedings of the ACM on Human-Computer Interaction and Journal of Data and Information Quality.
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.