Mads Frost

3.5k total citations
63 papers, 2.3k citations indexed

About

Mads Frost is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Mads Frost has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Psychiatry and Mental health, 33 papers in Experimental and Cognitive Psychology and 32 papers in Applied Psychology. Recurrent topics in Mads Frost's work include Bipolar Disorder and Treatment (37 papers), Digital Mental Health Interventions (32 papers) and Mental Health Research Topics (30 papers). Mads Frost is often cited by papers focused on Bipolar Disorder and Treatment (37 papers), Digital Mental Health Interventions (32 papers) and Mental Health Research Topics (30 papers). Mads Frost collaborates with scholars based in Denmark, United States and Italy. Mads Frost's co-authors include Jakob E. Bardram, Lars Vedel Kessing, Maria Faurholt‐Jepsen, Maj Vinberg, Ellen Margrethe Christensen, Jonas Busk, Ole Winther, Klaus Munkholm, Oscar Mayora and Afsaneh Doryab and has published in prestigious journals such as Psychological Medicine, Journal of Affective Disorders and Psychiatry Research.

In The Last Decade

Mads Frost

61 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mads Frost Denmark 24 1.2k 1.1k 938 410 312 63 2.3k
Emily A. Scherer United States 29 1.1k 0.8× 824 0.8× 416 0.4× 557 1.4× 688 2.2× 79 2.6k
Jennifer Duffecy United States 26 1.6k 1.3× 1.1k 1.0× 375 0.4× 644 1.6× 825 2.6× 79 3.2k
Marta Hauser United States 26 560 0.5× 567 0.5× 1.2k 1.3× 671 1.6× 236 0.8× 38 2.3k
Mark Begale United States 19 1.4k 1.1× 683 0.6× 335 0.4× 322 0.8× 720 2.3× 31 2.2k
Michael L. Birnbaum United States 24 529 0.4× 313 0.3× 494 0.5× 279 0.7× 178 0.6× 63 1.6k
Imogen Bell Australia 18 765 0.6× 503 0.5× 291 0.3× 441 1.1× 231 0.7× 37 1.5k
Tine Nordgreen Norway 23 1.1k 0.9× 987 0.9× 215 0.2× 612 1.5× 207 0.7× 78 2.0k
Michelle Nicole Burns United States 21 1.2k 0.9× 1.2k 1.1× 214 0.2× 959 2.3× 640 2.1× 27 3.0k
Nicholas C. Jacobson United States 30 1.0k 0.8× 1.3k 1.2× 189 0.2× 1.0k 2.5× 226 0.7× 121 2.7k

Countries citing papers authored by Mads Frost

Since Specialization
Citations

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

Fields of papers citing papers by Mads Frost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mads Frost

This figure shows the co-authorship network connecting the top 25 collaborators of Mads Frost. A scholar is included among the top collaborators of Mads Frost 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 Mads Frost. Mads Frost 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.
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
2.
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
3.
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
4.
Stanislaus, Sharleny, Maj Vinberg, Sigurd Melbye, et al.. (2020). Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals. International Journal of Bipolar Disorders. 8(1). 32–32. 15 indexed citations
5.
Faurholt‐Jepsen, Maria, Ellen Margrethe Christensen, Mads Frost, et al.. (2020). Hypomania/Mania by DSM-5 definition based on daily smartphone-based patient-reported assessments. Journal of Affective Disorders. 264. 272–278. 7 indexed citations
6.
Faurholt‐Jepsen, Maria, Jonas Busk, Maj Vinberg, et al.. (2020). Daily mobility patterns in patients with bipolar disorder and healthy individuals. Journal of Affective Disorders. 278. 413–422. 17 indexed citations
7.
Melbye, Sigurd, Sharleny Stanislaus, Maj Vinberg, et al.. (2020). Mood, activity, and sleep measured via daily smartphone-based self-monitoring in young patients with newly diagnosed bipolar disorder, their unaffected relatives and healthy control individuals. European Child & Adolescent Psychiatry. 30(8). 1209–1221. 9 indexed citations
8.
Faurholt‐Jepsen, Maria, Mads Frost, Ellen Margrethe Christensen, et al.. (2019). The effect of smartphone-based monitoring on illness activity in bipolar disorder: the MONARCA II randomized controlled single-blinded trial. Psychological Medicine. 50(5). 838–848. 83 indexed citations
9.
10.
Faurholt‐Jepsen, Maria, Mads Frost, Jonas Busk, et al.. (2019). Differences in mood instability in patients with bipolar disorder type I and II: a smartphone-based study. International Journal of Bipolar Disorders. 7(1). 5–5. 28 indexed citations
11.
12.
Faurholt‐Jepsen, Maria, Jonas Busk, Mads Frost, et al.. (2016). Voice analysis as an objective state marker in bipolar disorder. Translational Psychiatry. 6(7). e856–e856. 156 indexed citations
13.
Faurholt‐Jepsen, Maria, Klaus Munkholm, Mads Frost, Jakob E. Bardram, & Lars Vedel Kessing. (2016). Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence. BMC Psychiatry. 16(1). 7–7. 131 indexed citations
14.
Faurholt‐Jepsen, Maria, Maj Vinberg, Mads Frost, et al.. (2015). Smartphone data as an electronic biomarker of illness activity in bipolar disorder. Bipolar Disorders. 17(7). 715–728. 125 indexed citations
15.
Faurholt‐Jepsen, Maria, Christian Ritz, Mads Frost, et al.. (2015). Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones. Journal of Affective Disorders. 186. 342–349. 49 indexed citations
16.
Faurholt‐Jepsen, Maria, Mads Frost, Christian Ritz, et al.. (2015). Daily electronic self-monitoring in bipolar disorder using smartphones – the MONARCA I trial: a randomized, placebo-controlled, single-blind, parallel group trial. Psychological Medicine. 45(13). 2691–2704. 133 indexed citations
17.
Houben, Steven, Mathias V. Schmidt, Mads Frost, & Jakob E. Bardram. (2015). Hybrid Patient Record – Supporting Hybrid Interaction in Clinical Wards. IT University Of Copenhagen (IT University of Copenhagen). 1 indexed citations
18.
Doryab, Afsaneh, Mads Frost, Maria Faurholt‐Jepsen, Lars Vedel Kessing, & Jakob E. Bardram. (2014). Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome. Personal and Ubiquitous Computing. 19(2). 355–365. 27 indexed citations
19.
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
20.

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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