Natasha Dow Schüll

19 papers receiving 1.1k citations

Hit Papers

Addiction by Design2012202620162021201220172016100200300400

Peers

Natasha Dow Schüll
Comparison fields: 5 of 127
  • Clinical Psychology 431
  • Sociology and Political Science 413
  • Human-Computer Interaction 175
  • General Health Professions 148
  • Cognitive Neuroscience 128
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Citations per year

Countries citing papers authored by Natasha Dow Schüll

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Dow Schüll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasha Dow Schüll. 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 Natasha Dow Schüll. The network helps show where Natasha Dow Schüll may publish in the future.

Co-authorship network of co-authors of Natasha Dow Schüll

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Dow Schüll. A scholar is included among the top collaborators of Natasha Dow Schüll 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 Natasha Dow Schüll. Natasha Dow Schüll 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
#WorkIndexed citations
1 0
2 13
3
Loseit!: Calorie tracking and the discipline of consumption
5
4 14
5 29
6
The Datafication of Healthbreakdown →
275
7
Data for life: Wearable technology and the design of self-carebreakdown →
237
8
Sensor technology and the time-series self
15
9 29
10
Addiction by Designbreakdown →
414
11
The Touch-point Collective: Crowd Contouring on the Casino Floor
1
12 33
13 5
14 42
15 22
16 60
17
Machine life : an ethnography of gambling and compulsion in Las Vegas
2
18 4
19
Escape mechanism: Women, caretaking, and compulsive gambling
1
20
Escape Mechanism: Women, Caretaking, and Compulsive Machine Gambling
48

About Natasha Dow Schüll

Natasha Dow Schüll is a scholar working on Tourism, Leisure and Hospitality Management, General Decision Sciences and Clinical Psychology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gambling Behavior and Treatments (7 papers), Sexuality, Behavior, and Technology (3 papers) and Digital Games and Media (2 papers). The work is most often cited by research in Human-Computer Interaction (175 citations), Clinical Psychology (431 citations) and Health Informatics (26 citations). Natasha Dow Schüll has collaborated with scholars based in United States, Australia and Finland. Frequent co-authors include Minna Ruckenstein, Caitlin Zaloom, Richard Woolley, Rebecca Cassidy, Peter Adams, Gerda Reith, Francis Markham, Charles Livingstone, Martin Young and Angela Rintoul. Their work appears in journals such as Annual Review of Anthropology, The Annals of the American Academy of Political and Social Science and Social Studies of Science.

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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