Oana Inel

594 total citations
44 papers, 258 citations indexed

About

Oana Inel is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Oana Inel has authored 44 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 13 papers in Computer Science Applications and 11 papers in Information Systems. Recurrent topics in Oana Inel's work include Mobile Crowdsensing and Crowdsourcing (13 papers), Topic Modeling (10 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Oana Inel is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (13 papers), Topic Modeling (10 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Oana Inel collaborates with scholars based in Netherlands, Switzerland and United States. Oana Inel's co-authors include Nava Tintarev, Lora Aroyo, Tim Draws, Ujwal Gadiraju, Andrew Doyle, Helen Spiers, Veronika Cheplygina, Matthias Hirth, Christopher R. Madan and Chris Welty and has published in prestigious journals such as Language Resources and Evaluation, User Modeling and User-Adapted Interaction and Journal of Web Semantics.

In The Last Decade

Oana Inel

35 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oana Inel Netherlands	10	161	64	62	44	38	44	258
Bolaji David Oladokun Nigeria	8	93 0.6×	81 1.3×	24 0.4×	29 0.7×	14 0.4×	71	254
Claudia Müller-Birn Germany	9	79 0.5×	56 0.9×	42 0.7×	35 0.8×	22 0.6×	45	231
Srinath Srinivasa India	7	89 0.6×	59 0.9×	31 0.5×	22 0.5×	22 0.6×	60	195
Martin Schuessler Germany	6	164 1.0×	21 0.3×	40 0.6×	47 1.1×	75 2.0×	10	330
Katherine Lee United States	7	265 1.6×	55 0.9×	12 0.2×	20 0.5×	42 1.1×	13	375
Albert Meroño-Peñuela United Kingdom	8	154 1.0×	71 1.1×	11 0.2×	17 0.4×	50 1.3×	52	302
Theo Huibers Netherlands	9	141 0.9×	137 2.1×	30 0.5×	46 1.0×	10 0.3×	55	310
Annette Hautli-Janisz Germany	9	227 1.4×	26 0.4×	22 0.4×	21 0.5×	48 1.3×	40	346
Hongzhi Yang Australia	13	147 0.9×	73 1.1×	41 0.7×	15 0.3×	21 0.6×	35	407
Anne Lauscher Germany	12	384 2.4×	55 0.9×	13 0.2×	28 0.6×	54 1.4×	41	499

Countries citing papers authored by Oana Inel

Since Specialization

Citations

This map shows the geographic impact of Oana Inel'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 Oana Inel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oana Inel more than expected).

Fields of papers citing papers by Oana Inel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oana Inel. 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 Oana Inel. The network helps show where Oana Inel may publish in the future.

Co-authorship network of co-authors of Oana Inel

This figure shows the co-authorship network connecting the top 25 collaborators of Oana Inel. A scholar is included among the top collaborators of Oana Inel 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 Oana Inel. Oana Inel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Inel, Oana, et al.. (2025). D-RDW: Diversity-Driven Random Walks for News Recommender Systems. ArXiv.org. 558–563.

Inel, Oana, et al.. (2025). Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation. 3(4). 1–35.

Inel, Oana, et al.. (2024). ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. Zurich Open Repository and Archive (University of Zurich). 292–304.

Parrish, Alicia, Oana Inel, Hannah Rose Kirk, et al.. (2024). Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. 388–406. 3 indexed citations

Inel, Oana, et al.. (2024). Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media. UvA-DARE (University of Amsterdam). 11(1). 1–28. 1 indexed citations

Inel, Oana, et al.. (2024). Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge. UvA-DARE (University of Amsterdam). 22–26. 3 indexed citations

Inel, Oana, et al.. (2024). Casual Users and Rational Choices within Differential Privacy. Zurich Open Repository and Archive (University of Zurich). 932–950. 2 indexed citations

Inel, Oana, et al.. (2023). QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. VU Research Portal. 1241–1243.

Rossetto, Luca, et al.. (2023). Multi-Mode Clustering for Graph-Based Lifelog Retrieval. Zurich Open Repository and Archive (University of Zurich). 36–40. 5 indexed citations

10.

Draws, Tim, et al.. (2023). Evaluating explainable social choice-based aggregation strategies for group recommendation. User Modeling and User-Adapted Interaction. 34(1). 1–58. 4 indexed citations

11.

Inel, Oana & Lora Aroyo. (2022). Fine-tuning machine confidence with human relevance for video discovery. interactions. 29(4). 78–82. 1 indexed citations

12.

Inel, Oana, et al.. (2021). Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. Frontiers in Artificial Intelligence. 4. 712072–712072.

13.

Doyle, Andrew, Matthias Hirth, Oana Inel, et al.. (2020). A Survey of Crowdsourcing in Medical Image Analysis. Research Repository (Delft University of Technology). 7. 1–26. 23 indexed citations

14.

Inel, Oana, et al.. (2018). Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation. University of Groningen research database (University of Groningen / Centre for Information Technology). 44–54. 1 indexed citations

15.

Inel, Oana, et al.. (2018). Resource Interoperability for Sustainable Benchmarking: The Case of Events. Language Resources and Evaluation. 2 indexed citations

16.

Inel, Oana, et al.. (2018). A study of narrative creation by means of crowds and niches. University of Groningen research database (University of Groningen / Centre for Information Technology). 2173. 1–4. 2 indexed citations

17.

Inel, Oana, Dan Li, C Gysel, et al.. (2018). Studying Topical Relevance with Evidence-based Crowdsourcing. VU Research Portal. 1253–1262. 10 indexed citations

18.

Caselli, Tommaso, Rachele Sprugnoli, & Oana Inel. (2016). Temporal Information Annotation: Crowd vs. Experts. Language Resources and Evaluation. 3502–3509. 3 indexed citations

19.

Martínez-Ortiz, Carlos, et al.. (2015). Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis. VU Research Portal. 300–303. 1 indexed citations

20.

Soberón, Guillermo, et al.. (2013). Content and Behaviour Based Metrics for Crowd Truth.. 45–58. 2 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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