John P. Pollak

1.1k total citations
16 papers, 732 citations indexed

About

John P. Pollak is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Human-Computer Interaction. According to data from OpenAlex, John P. Pollak has authored 16 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Human-Computer Interaction. Recurrent topics in John P. Pollak's work include Mobile Health and mHealth Applications (5 papers), Innovative Human-Technology Interaction (3 papers) and Recommender Systems and Techniques (2 papers). John P. Pollak is often cited by papers focused on Mobile Health and mHealth Applications (5 papers), Innovative Human-Technology Interaction (3 papers) and Recommender Systems and Techniques (2 papers). John P. Pollak collaborates with scholars based in United States, Australia and Canada. John P. Pollak's co-authors include Geri Gay, Phil Adams, Robert C. Lacy, Deborah Estrin, Jonathan D. Ballou, Daniela Retelny, Longqi Yang, Serge Belongie, Cheng-Kang Hsieh and Lee Humphreys and has published in prestigious journals such as Journal of Animal Ecology, Journal of Applied Ecology and Journal of Medical Internet Research.

In The Last Decade

John P. Pollak

16 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Pollak United States 11 156 154 130 130 89 16 732
Peter Washington United States 24 75 0.5× 58 0.4× 188 1.4× 93 0.7× 23 0.3× 91 1.5k
Ana Margarida Almeida Portugal 14 44 0.3× 109 0.7× 66 0.5× 27 0.2× 48 0.5× 127 727
Laura Levy United States 9 168 1.1× 66 0.4× 67 0.5× 96 0.7× 12 0.1× 18 395
Sarah Webber Australia 14 242 1.6× 26 0.2× 51 0.4× 185 1.4× 15 0.2× 37 608
Ioanna Iacovides United Kingdom 22 256 1.6× 32 0.2× 77 0.6× 29 0.2× 60 0.7× 66 1.3k
Alex Lim United States 9 105 0.7× 16 0.1× 20 0.2× 33 0.3× 36 0.4× 22 799
Xing Zhang China 21 10 0.1× 73 0.5× 36 0.3× 85 0.7× 16 0.2× 76 1.3k
Anna-Karin Lindqvist Sweden 15 25 0.2× 95 0.6× 54 0.4× 18 0.1× 19 0.2× 43 555
Hamish Macleod United Kingdom 17 15 0.1× 28 0.2× 36 0.3× 53 0.4× 78 0.9× 48 962
Kellie Vella Australia 13 160 1.0× 64 0.4× 163 1.3× 7 0.1× 20 0.2× 38 633

Countries citing papers authored by John P. Pollak

Since Specialization
Citations

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

Fields of papers citing papers by John P. Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Pollak. 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 John P. Pollak. The network helps show where John P. Pollak may publish in the future.

Co-authorship network of co-authors of John P. Pollak

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

All Works

16 of 16 papers shown
1.
Vad, Vijay B., et al.. (2022). “Back Rx, a personalized mobile phone application for discogenic chronic low back pain: a prospective pilot study”. BMC Musculoskeletal Disorders. 23(1). 923–923. 6 indexed citations
2.
Lin, Inna Wanyin, et al.. (2020). Role of Technology in Self-Assessment and Feedback Among Hospitalist Physicians: Semistructured Interviews and Thematic Analysis. Journal of Medical Internet Research. 22(11). e23299–e23299. 7 indexed citations
3.
Pollak, John P., et al.. (2019). Digital Health Apps in the Clinical Care of Inflammatory Bowel Disease: Scoping Review. Journal of Medical Internet Research. 21(8). e14630–e14630. 73 indexed citations
4.
Estrin, Deborah, et al.. (2019). Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports. 8(1). 31–42. 35 indexed citations
5.
Hsieh, Cheng-Kang, et al.. (2018). Small Data: Applications and Architecture. 1–10. 2 indexed citations
6.
Yang, Longqi, Cheng-Kang Hsieh, John P. Pollak, et al.. (2017). Yum-Me. ACM Transactions on Information Systems. 36(1). 1–31. 114 indexed citations
7.
Yang, Longqi, Yin Cui, Fan Zhang, et al.. (2015). PlateClick. 183–192. 23 indexed citations
8.
Stein, Daniel M., et al.. (2015). Smartphone Data in Rheumatoid Arthritis - What Do Rheumatologists Want?. PubMed. 2015. 1130–9. 6 indexed citations
9.
Baumer, Eric P. S., Vera Khovanskaya, Phil Adams, et al.. (2013). Designing for Engaging Experiences in Mobile Social-Health Support Systems. IEEE Pervasive Computing. 12(3). 32–39. 5 indexed citations
10.
Prowse, Thomas A. A., Christopher N. Johnson, Robert C. Lacy, et al.. (2013). No need for disease: testing extinction hypotheses for the thylacine using multi‐species metamodels. Journal of Animal Ecology. 82(2). 355–364. 38 indexed citations
11.
Baumer, Eric P. S., Sherri Jean Katz, Phil Adams, et al.. (2012). Prescriptive persuasion and open-ended social awareness. 475–484. 89 indexed citations
12.
Bradshaw, Corey J. A., Clive R. McMahon, Philip S. Miller, et al.. (2011). Novel coupling of individual‐based epidemiological and demographic models predicts realistic dynamics of tuberculosis in alien buffalo. Journal of Applied Ecology. 49(1). 268–277. 27 indexed citations
13.
Lacy, Robert C., Jonathan D. Ballou, & John P. Pollak. (2011). PMx: software package for demographic and genetic analysis and management of pedigreed populations. Methods in Ecology and Evolution. 3(2). 433–437. 95 indexed citations
14.
Pollak, John P., Phil Adams, & Geri Gay. (2011). PAM. 725–734. 111 indexed citations
15.
Pollak, John P., Geri Gay, Sahara Byrne, et al.. (2010). It's Time to Eat! Using Mobile Games to Promote Healthy Eating. IEEE Pervasive Computing. 9(3). 21–27. 87 indexed citations
16.
Nyhus, Philip J., Robert C. Lacy, Frances Westley, et al.. (2007). Tackling Biocomplexity with Meta-models for Species Risk Assessment. Ecology and Society. 12(1). 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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