Valdemar Danry

672 total citations
19 papers, 364 citations indexed

About

Valdemar Danry is a scholar working on Human-Computer Interaction, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Valdemar Danry has authored 19 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Human-Computer Interaction, 6 papers in Artificial Intelligence and 5 papers in Social Psychology. Recurrent topics in Valdemar Danry's work include Virtual Reality Applications and Impacts (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Valdemar Danry is often cited by papers focused on Virtual Reality Applications and Impacts (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Valdemar Danry collaborates with scholars based in United States, Japan and Australia. Valdemar Danry's co-authors include Pat Pataranutaporn, Pattie Maes, Misha Sra, Joanne Leong, Parinya Punpongsanon, Pattie Maes, Alyssa P. Lawson, Sang-won Leigh, Florian Perteneder and Florian Mueller and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Nature Machine Intelligence.

In The Last Decade

Valdemar Danry

16 papers receiving 347 citations

Peers

Valdemar Danry

CSA

CVPR

Katy Ilonka Gero United States

Qiaosi Wang United States

Sungwoo Lee South Korea

John Joon Young Chung United States

Peter Worthy Australia

Maria Rauschenberger Germany

Vivien Lin Taiwan

Jutta Treviranus Canada

Anton Kunnari Finland

Bingsheng Yao United States

Katy Ilonka Gero United States

Valdemar Danry

225 ×2.1

84 ×1.2

55 ×1.1

39 ×0.8

CSA

38 ×0.8

CVPR

Citations per year, relative to Valdemar Danry Valdemar Danry (= 1×) peers Katy Ilonka Gero

Countries citing papers authored by Valdemar Danry

Since Specialization

Citations

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

Fields of papers citing papers by Valdemar Danry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valdemar Danry

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

All Works

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19 of 19 papers shown

Danry, Valdemar, et al.. (2026). Mind Mapper: Modeling and Predicting Behavioral Patterns from Everyday Conversations with Wearable AI Systems and LLMs. 2059–2083.

Danry, Valdemar, et al.. (2025). ReLive: Walking into Virtual Reality Spaces from Video Recordings of One's Past Can Increase the Experiential Detail and Affect of Autobiographical Memories. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2664–2674. 1 indexed citations

Danry, Valdemar, Pat Pataranutaporn, Matthew Groh, & Ziv Epstein. (2025). Deceptive Explanations by Large Language Models Lead People to Change their Beliefs About Misinformation More Often than Honest Explanations. 1–31. 2 indexed citations

Leong, Joanne, et al.. (2024). Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. 1–15. 20 indexed citations

Fang, Cathy Mengying, et al.. (2024). PhysioLLM: Supporting Personalized Health Insights with Wearables and Large Language Models. 1–8. 6 indexed citations

Danry, Valdemar, et al.. (2024). Synthetic Visual Sensations: Augmenting Human Spatial Awareness with a Wearable Retinal Electric Stimulation Device. 15–27.

Danry, Valdemar, et al.. (2024). From Words to Worlds: Exploring Generative 3D Models in Design and Fabrication. 3D Printing and Additive Manufacturing. 12(1). 1–10.

Danry, Valdemar, et al.. (2023). Wearable systems without experiential disruptions: exploring the impact of device feedback changes on explicit awareness, physiological synchrony, sense of agency, and device-body ownership. Frontiers in Computer Science. 5. 2 indexed citations

Danry, Valdemar, et al.. (2023). Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations. 1–13. 39 indexed citations

10.

Pataranutaporn, Pat, et al.. (2023). Living Memories: AI-Generated Characters as Digital Mementos. 889–901. 21 indexed citations

11.

Danry, Valdemar, Joanne Leong, Pat Pataranutaporn, et al.. (2022). AI-Generated Characters: Putting Deepfakes to Good Use. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–5. 14 indexed citations

12.

Sra, Misha, Valdemar Danry, & Pattie Maes. (2022). Situated VR: Toward a Congruent Hybrid Reality Without Experiential Artifacts. IEEE Computer Graphics and Applications. 42(3). 7–18. 5 indexed citations

13.

Danry, Valdemar, et al.. (2022). EmbER: A System for Transfer of Interoceptive Sensations to Improve Social Perception. Designing Interactive Systems Conference. 277–287. 7 indexed citations

14.

Pataranutaporn, Pat, Joanne Leong, Valdemar Danry, et al.. (2022). AI-Generated Virtual Instructors Based on Liked or Admired People Can Improve Motivation and Foster Positive Emotions for Learning. 2022 IEEE Frontiers in Education Conference (FIE). 1–9. 21 indexed citations

15.

Danry, Valdemar, Pat Pataranutaporn, Florian Mueller, Pattie Maes, & Sang-won Leigh. (2022). On Eliciting a Sense of Self when Integrating with Computers. Monash University Research Portal (Monash University). 68–81. 12 indexed citations

16.

Pataranutaporn, Pat, Valdemar Danry, & Pattie Maes. (2021). Machinoia, Machine of Multiple Me: Integrating with Past, Future and Alternative Selves. 1–7. 1 indexed citations

17.

Pataranutaporn, Pat, Valdemar Danry, Joanne Leong, et al.. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence. 3(12). 1013–1022. 191 indexed citations

18.

Danry, Valdemar, Pat Pataranutaporn, Paul Strohmeier, et al.. (2021). Do Cyborgs dream of Electric Limbs? Experiential Factors in Human-Computer Integration Design and Evaluation. ANU Open Research (Australian National University). 1–6. 5 indexed citations

19.

Danry, Valdemar, et al.. (2020). Wearable Reasoner. 1–12. 17 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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