Elena Simperl

6.6k total citations
199 papers, 2.1k citations indexed

About

Elena Simperl is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Elena Simperl has authored 199 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 65 papers in Information Systems and 41 papers in Computer Science Applications. Recurrent topics in Elena Simperl's work include Semantic Web and Ontologies (81 papers), Data Quality and Management (36 papers) and Service-Oriented Architecture and Web Services (33 papers). Elena Simperl is often cited by papers focused on Semantic Web and Ontologies (81 papers), Data Quality and Management (36 papers) and Service-Oriented Architecture and Web Services (33 papers). Elena Simperl collaborates with scholars based in United Kingdom, Germany and Austria. Elena Simperl's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Elena Simperl

187 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elena Simperl United Kingdom 23 954 712 412 322 290 199 2.1k
Lora Aroyo Netherlands 24 1.5k 1.6× 839 1.2× 669 1.6× 197 0.6× 201 0.7× 192 2.9k
Lydia B. Chilton United States 23 1.1k 1.1× 503 0.7× 995 2.4× 254 0.8× 141 0.5× 76 2.5k
Naif Radi Aljohani Saudi Arabia 30 1.1k 1.1× 613 0.9× 883 2.1× 125 0.4× 229 0.8× 120 2.7k
Jeffrey Parsons Canada 25 755 0.8× 769 1.1× 169 0.4× 291 0.9× 298 1.0× 88 2.1k
Ido Guy Israel 22 808 0.8× 1.3k 1.8× 246 0.6× 191 0.6× 323 1.1× 93 2.3k
Geert‐Jan Houben Netherlands 27 1.0k 1.1× 1.0k 1.5× 572 1.4× 110 0.3× 362 1.2× 126 2.7k
Saleema Amershi United States 26 1.9k 2.0× 794 1.1× 546 1.3× 162 0.5× 238 0.8× 52 3.7k
Jeffrey V. Nickerson United States 23 355 0.4× 425 0.6× 503 1.2× 133 0.4× 275 0.9× 134 3.2k
Nataša Milić-Frayling United Kingdom 20 812 0.9× 618 0.9× 426 1.0× 178 0.6× 133 0.5× 82 2.1k
Kieron O’Hara United Kingdom 23 816 0.9× 642 0.9× 106 0.3× 204 0.6× 203 0.7× 154 2.1k

Countries citing papers authored by Elena Simperl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Elena Simperl

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Simperl. A scholar is included among the top collaborators of Elena Simperl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elena Simperl. Elena Simperl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jain, Nitisha, et al.. (2025). Agreeing and disagreeing in collaborative knowledge graph construction: An analysis of Wikidata. Journal of Web Semantics. 86. 100868–100868.
3.
Meroño-Peñuela, Albert, et al.. (2024). KG.GOV: Knowledge graphs as the backbone of data governance in AI. Journal of Web Semantics. 85. 100847–100847. 3 indexed citations
4.
Neate, Timothy, et al.. (2024). Lights, Camera, Access: A Closeup on Audiovisual Media Accessibility and Aphasia. Research Portal (King's College London). 1–17. 2 indexed citations
5.
Cruice, Madeline, et al.. (2024). "I Wish You Could Make the Camera Stand Still": Envisioning Media Accessibility Interventions with People with Aphasia. Research Portal (King's College London). 1–17. 2 indexed citations
6.
Meroño-Peñuela, Albert, et al.. (2024). RevOnt: Reverse engineering of competency questions from knowledge graphs via language models. Journal of Web Semantics. 82. 100822–100822. 3 indexed citations
7.
Meroño-Peñuela, Albert, et al.. (2023). An analysis of discussions in collaborative knowledge engineering through the lens of Wikidata. Journal of Web Semantics. 78. 100799–100799. 2 indexed citations
8.
Maddalena, Eddy, et al.. (2023). Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives. ACM Transactions on Intelligent Systems and Technology. 14(5). 1–26. 3 indexed citations
9.
Simperl, Elena, et al.. (2023). A Survey of Data Quality Requirements That Matter in ML Development Pipelines. Journal of Data and Information Quality. 15(2). 1–39. 29 indexed citations
10.
Simperl, Elena, et al.. (2023). AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact Checking. Research Portal (King's College London). 26–37. 4 indexed citations
11.
Baroni, Ilaria, Eddy Maddalena, Elena Simperl, et al.. (2022). Participatory Science Toolkit Against Pollution. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Roman, Dumitru, Irene Celino, Ahmet Soylu, et al.. (2021). An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. Data Technologies and Applications. 55(5). 622–642. 8 indexed citations
13.
Ibáñez, Luis, et al.. (2019). Scholarly publishing on the blockchain – from smart papers to smart informetrics. ePrints Soton (University of Southampton). 2(1-2). 291–310. 7 indexed citations
14.
Carr, Leslie, et al.. (2019). A framework for data sharing for open innovation. ePrints Soton (University of Southampton). 1 indexed citations
15.
Ibáñez, Luis, Kieron O’Hara, & Elena Simperl. (2018). On Blockchains and the General Data Protection Regulation. ePrints Soton (University of Southampton). 17 indexed citations
16.
Mikroyannidis, Alexander, John Domingue, & Elena Simperl. (2014). Raising the stakes in Linked Data education. Open Research Online (The Open University). 2014. 1 indexed citations
17.
Hare, Jonathon, Maribel Acosta, Elena Simperl, et al.. (2013). An investigation of techniques that aim to improve the quality of labels provided by the crowd. ePrints Soton (University of Southampton). 1 indexed citations
18.
Simperl, Elena, Barry Norton, & Denny Vrandečić. (2012). Crowdsourcing Tasks in Open Query Answering. National Conference on Artificial Intelligence. 1 indexed citations
19.
Galis, Alex, Anastasius Gavras, Srdjan Krčo, et al.. (2010). Towards the Future Internet - Emerging Trends from European Research. UCL Discovery (University College London). 55 indexed citations
20.
Aroyo, Lora, Paolo Traverso, Fabio Ciravegna, et al.. (2009). The semantic Web : research and applications : 6th European Semantic Web Conference, ESWC 2009, Heraklion, Crete, Greece, May 31-June 4, 2009 : proceedings. Springer eBooks. 10 indexed citations

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.

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