Jakob E. Bardram

9.7k total citations
205 papers, 5.6k citations indexed

About

Jakob E. Bardram is a scholar working on Applied Psychology, Human-Computer Interaction and Experimental and Cognitive Psychology. According to data from OpenAlex, Jakob E. Bardram has authored 205 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Applied Psychology, 62 papers in Human-Computer Interaction and 59 papers in Experimental and Cognitive Psychology. Recurrent topics in Jakob E. Bardram's work include Digital Mental Health Interventions (62 papers), Context-Aware Activity Recognition Systems (53 papers) and Mental Health Research Topics (53 papers). Jakob E. Bardram is often cited by papers focused on Digital Mental Health Interventions (62 papers), Context-Aware Activity Recognition Systems (53 papers) and Mental Health Research Topics (53 papers). Jakob E. Bardram collaborates with scholars based in Denmark, United States and United Kingdom. Jakob E. Bardram's co-authors include Lars Vedel Kessing, Maria Faurholt‐Jepsen, Mads Frost, Maj Vinberg, Claus Bossen, Ellen Margrethe Christensen, Thomas Riisgaard Hansen, Jonas Busk, Darius A. Rohani and Steven Houben and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Computers in Human Behavior.

In The Last Decade

Jakob E. Bardram

196 papers receiving 5.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jakob E. Bardram 1.7k 1.3k 1.1k 1.1k 935 205 5.6k
Tanzeem Choudhury 2.0k 1.2× 1.9k 1.4× 1.4k 1.3× 419 0.4× 2.8k 3.0× 140 9.3k
Andrea Gaggioli 1.0k 0.6× 1.2k 0.9× 2.1k 2.0× 463 0.4× 485 0.5× 239 7.0k
Pietro Cipresso 611 0.4× 1.2k 0.9× 1.2k 1.1× 624 0.6× 485 0.5× 202 5.6k
Wendy A. Rogers 537 0.3× 884 0.7× 1.5k 1.4× 771 0.7× 1.2k 1.3× 408 12.3k
Walter R. Boot 392 0.2× 2.2k 1.7× 406 0.4× 824 0.8× 348 0.4× 189 7.3k
Stephen Intille 1.1k 0.7× 553 0.4× 848 0.8× 197 0.2× 2.3k 2.4× 146 6.5k
Brenda K. Wiederhold 897 0.5× 1.0k 0.8× 2.0k 1.9× 545 0.5× 347 0.4× 223 7.2k
Timothy Bickmore 2.1k 1.3× 702 0.5× 1.2k 1.1× 203 0.2× 561 0.6× 208 7.9k
Rafael A. Calvo 1.1k 0.7× 1.9k 1.4× 905 0.8× 149 0.1× 533 0.6× 252 8.7k
Philip Kortum 531 0.3× 341 0.3× 2.0k 1.8× 280 0.3× 1.1k 1.1× 96 7.3k

Countries citing papers authored by Jakob E. Bardram

Since Specialization
Citations

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

Fields of papers citing papers by Jakob E. Bardram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakob E. Bardram. 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 Jakob E. Bardram. The network helps show where Jakob E. Bardram may publish in the future.

Co-authorship network of co-authors of Jakob E. Bardram

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob E. Bardram. A scholar is included among the top collaborators of Jakob E. Bardram 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 Jakob E. Bardram. Jakob E. Bardram 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
2.
Bardram, Jakob E., et al.. (2024). Perceptions and effectiveness of episodic future thinking as digital micro-interventions based on mobile health technology. Digital Health. 10. 599889295–599889295. 1 indexed citations
3.
Faurholt‐Jepsen, Maria, et al.. (2024). Mood, Activity, and Instability in Bipolar Disorder and Unipolar Disorder—An Exploratory Post Hoc Study Using Digital Data. Acta Psychiatrica Scandinavica. 151(3). 426–433. 1 indexed citations
4.
Puthusserypady, Sadasivan, et al.. (2023). Reading between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals. Computing in cardiology. 1 indexed citations
5.
Faurholt‐Jepsen, Maria, Jonas Busk, Jakob E. Bardram, et al.. (2023). Mood instability and activity/energy instability in patients with bipolar disorder according to day-to-day smartphone-based data – An exploratory post hoc study. Journal of Affective Disorders. 334. 83–91. 9 indexed citations
6.
Faurholt‐Jepsen, Maria, Jonas Busk, Jakob E. Bardram, et al.. (2023). Irritability in bipolar disorder and unipolar disorder measured daily using smartphone‐based data: An exploratory post hoc study. Acta Psychiatrica Scandinavica. 147(6). 593–602. 3 indexed citations
7.
Adler, Daniel A., Xuhai Xu, Varun Mishra, et al.. (2023). 8th International Workshop on Mental Health and Well-being: Sensing and Intervention. 784–787. 1 indexed citations
8.
Faurholt‐Jepsen, Maria, Darius A. Rohani, Jonas Busk, et al.. (2021). Discriminating between patients with unipolar disorder, bipolar disorder, and healthy control individuals based on voice features collected from naturalistic smartphone calls. Acta Psychiatrica Scandinavica. 145(3). 255–267. 8 indexed citations
9.
Faurholt‐Jepsen, Maria, Klaus Martiny, Nicole Rosenberg, et al.. (2020). Reducing the rate of psychiatric re‐admissions in bipolar disorder using smartphones—The RADMIS trial. Acta Psychiatrica Scandinavica. 143(5). 453–465. 24 indexed citations
10.
Rohani, Darius A., Aaron Springer, Victoria Hollis, Jakob E. Bardram, & Steve Whittaker. (2020). Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing. 9(3). 1183–1193. 15 indexed citations
11.
Faurholt‐Jepsen, Maria, Mads Frost, Klaus Martiny, et al.. (2020). The effect of smartphone-based monitoring and treatment on the rate and duration of psychiatric readmission in patients with unipolar depressive disorder: The RADMIS randomized controlled trial. Journal of Affective Disorders. 282. 354–363. 30 indexed citations
12.
Kessing, Lars Vedel, et al.. (2019). Methodological Challenges in Randomized Controlled Trials on Smartphone-Based Treatment in Psychiatry: Systematic Review. Journal of Medical Internet Research. 21(10). e15362–e15362. 27 indexed citations
13.
Rohani, Darius A., et al.. (2018). Data-Driven Learning in High-Resolution Activity Sampling From Patients With Bipolar Depression: Mixed-Methods Study. JMIR Mental Health. 5(2). e10122–e10122. 5 indexed citations
14.
Frost, Mads, Afsaneh Doryab, & Jakob E. Bardram. (2013). Disease Insights Through Analysis: Using machine learning to provide feedback in the MONARCA system. IT University Of Copenhagen (IT University of Copenhagen). 2 indexed citations
15.
Bardram, Jakob E.. (2011). The activity-based computing project. National Conference on Artificial Intelligence. 2–7. 3 indexed citations
16.
Bardram, Jakob E., Marc Langheinrich, Khai N. Truong, & Paddy Nixon. (2010). Proceedings of the 12th ACM international conference on Ubiquitous computing. 32 indexed citations
17.
Andersen, Peter Bøgh, et al.. (2005). An Open Architecture for Palpable Computing: Some Thoughts on Object Technology, Palpable Computing, and Architectures for Ambient Computing. 2 indexed citations
18.
Clemensen, Jane, Simon Bo Larsen, & Jakob E. Bardram. (2004). Developing Pervasive e-Heatth for Moving Experts from Hospital to Home. 2(2). 57–68. 6 indexed citations
19.
Bardram, Jakob E.. (2003). Hospitals of the Future - Ubiquitous Computing support for Medical Work in Hospitals. 43 indexed citations
20.
Bardram, Jakob E.. (1996). Organisational prototyping: adopting CSCW applications in organisations. Journal of the Association for Information Systems. 8(1). 69–88. 14 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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