Most Cited Article Award
Anna Foka
Uppsala University, Sweden
Anna Foka is Professor in Digital Humanities at Uppsala University, Sweden, and Director of the Centre for Digital Humanities and Social Sciences Uppsala. Her research integrates computational methods with cultural history, and her article on AI, cultural heritage, and bias has been recognised for outstanding citation impact [1].
Abstract
This article documents the recognition of Anna Foka, Professor in Digital Humanities at Uppsala University, whose co-authored paper on artificial intelligence, cultural heritage, and bias has been honoured with the Most Cited Article Award under the Top Teachers Awards programme [1]. The entry summarises her research profile, scholarly contributions, and citation record [2].
Keywords
- Digital Humanities
- Visualisations
- Cultural History
- Gender
- Status
Introduction
Anna Foka holds a PhD from the University of Liverpool and has held positions at Umeå University and Uppsala University, where she now leads the Centre for Digital Humanities and Social Sciences [2]. Her work bridges classical studies, gender research, and computational analysis of heritage collections [3]. The awarded article examines bias in generative AI applied to cultural heritage [1].
Research Profile
Her Scopus record lists 38 documents, 415 citations, and an h-index of 11, while Google Scholar reports 100 documents, 1,119 citations, and an h-index of 17 [2] [3]. She has led externally funded projects including AI Futures of Culture and Memory and Quantifying Culture, supported by WASP-HS and the Swedish Research Council [4].
Research Contributions
- Digital editions and semantic annotation of ancient travel texts, including the Periegesis tool [5].
- Critical analysis of bias in generative AI for cultural heritage documentation [1].
- Foundational work on historical game studies and digital historiography [5].
- National research infrastructure leadership through HumInfra and DASH [4].
Publications
Key publications include Anna Foka and Griffin (2024) on AI, cultural heritage, and bias in Heritage [1]; Chapman, Foka, and Westin (2017) on historical game studies [5]; and Foka et al. (2025) on bias-mitigating practice in AI & Society [6].
Research Impact
The awarded article has attracted substantial citation attention within heritage science and AI ethics, reflecting growing scholarly interest in bias mitigation for cultural data [1] [6]. Her broader citation profile indicates sustained influence across digital humanities and historical game studies [3] [5].
Award Suitability
The Most Cited Article Award recognises the paper by Anna Foka and Griffin (2024) for its citation record and topical relevance to responsible AI in heritage institutions [1]. The award is administered under the Top Teachers Awards event, which documents teaching and research excellence [7].
Conclusion
Anna Foka’s recognition reflects a sustained contribution to digital humanities, cultural heritage computing, and critical AI studies [2] [4]. Her citation record and infrastructure leadership support the suitability of this award [1] [3].
External Links
References
- Foka, A., & Griffin, G. (2024). AI, cultural heritage, and bias: Some key queries that arise from the use of GenAI. Heritage, 7(11), 6125–6136.
https://doi.org/10.3390/heritage7110287
- Elsevier. (n.d.). Scopus author details: Anna Foka, Author ID 56610140500. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56610140500
- Google Scholar. (n.d.). Anna Foka: Citations and h-index profile. Google Scholar.
https://scholar.google.com/citations?user=dq13rksAAAAJ&hl=en&oi=sra
- Foka, A. (2023). AI, authenticity and archives: Research project description. NetX/WASP.
https://doi.org/10.3390/heritage7110287
- Chapman, A., Foka, A., & Westin, J. (2017). Introduction: What is historical game studies? Rethinking History, 21(3), 358–371.
https://doi.org/10.1080/13642529.2016.1256638
- Foka, A., Griffin, G., Ortiz Pablo, D., Rajkowska, P., & Badri, S. (2025). Tracing the bias loop: AI, cultural heritage and bias-mitigating in practice. AI & Society, 40(8), 5835–5847.
https://link.springer.com/article/10.1007/s00146-025-02349-z
- Top Teachers Awards. (n.d.). Most Cited Article Award: Event documentation. Top Teachers Network.
https://topteachers.net