Ingunn Bosnes

3.8k total citations
11 papers, 198 citations indexed

About

Ingunn Bosnes is a scholar working on Psychiatry and Mental health, Neuropsychology and Physiological Psychology and Health. According to data from OpenAlex, Ingunn Bosnes has authored 11 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Psychiatry and Mental health, 6 papers in Neuropsychology and Physiological Psychology and 5 papers in Health. Recurrent topics in Ingunn Bosnes's work include Dementia and Cognitive Impairment Research (8 papers), Aging and Gerontology Research (6 papers) and Health disparities and outcomes (5 papers). Ingunn Bosnes is often cited by papers focused on Dementia and Cognitive Impairment Research (8 papers), Aging and Gerontology Research (6 papers) and Health disparities and outcomes (5 papers). Ingunn Bosnes collaborates with scholars based in Norway, Sweden and Australia. Ingunn Bosnes's co-authors include Eystein Stordal, Ove Almkvist, Hans M. Nordahl, Tor Åge Myklebust, Geir Selbæk, Sverre Bergh, Håvard Kjesbu Skjellegrind, Atefe R. Tari, Ulrik Wisløff and Javaid Nauman and has published in prestigious journals such as PLoS ONE, Journal of Alzheimer s Disease and BMJ Open.

In The Last Decade

Ingunn Bosnes

11 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingunn Bosnes Norway 7 52 49 47 47 27 11 198
Ai Iizuka Japan 8 36 0.7× 27 0.6× 70 1.5× 77 1.6× 18 0.7× 20 246
Karoline Carvalho Carmona Brazil 8 31 0.6× 27 0.6× 58 1.2× 92 2.0× 13 0.5× 14 249
Ryan J. Piers United States 11 62 1.2× 24 0.5× 46 1.0× 124 2.6× 18 0.7× 12 353
Anna-Rita Atti Italy 3 48 0.9× 22 0.4× 27 0.6× 80 1.7× 27 1.0× 4 269
Dae Jong Oh South Korea 10 32 0.6× 10 0.2× 79 1.7× 85 1.8× 26 1.0× 43 294
James Bowen United States 3 32 0.6× 14 0.3× 96 2.0× 186 4.0× 20 0.7× 6 348
María Martín Argentina 10 27 0.5× 13 0.3× 98 2.1× 169 3.6× 18 0.7× 19 334
Julie Kuo United States 7 74 1.4× 44 0.9× 74 1.6× 149 3.2× 17 0.6× 9 308
Juliana Francisca Cecato Brazil 10 21 0.4× 16 0.3× 47 1.0× 146 3.1× 5 0.2× 40 273
Nadja Kartschmit Germany 8 21 0.4× 8 0.2× 17 0.4× 49 1.0× 20 0.7× 13 190

Countries citing papers authored by Ingunn Bosnes

Since Specialization
Citations

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

Fields of papers citing papers by Ingunn Bosnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingunn Bosnes

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

All Works

11 of 11 papers shown
1.
2.
Tari, Atefe R., Geir Selbæk, Barry A. Franklin, et al.. (2022). Temporal changes in personal activity intelligence and the risk of incident dementia and dementia related mortality: A prospective cohort study (HUNT). EClinicalMedicine. 52. 101607–101607. 9 indexed citations
3.
Bosnes, Ingunn, et al.. (2022). Processing speed and working memory are predicted by components of successful aging: a HUNT study. BMC Psychology. 10(1). 16–16. 12 indexed citations
4.
Almkvist, Ove, et al.. (2020). Subjective working memory predicts objective memory in cognitively normal aging: a HUNT study. BMC Psychology. 8(1). 4 indexed citations
5.
Bosnes, Ingunn, et al.. (2019). Lifestyle predictors of successful aging: A 20-year prospective HUNT study. PLoS ONE. 14(7). e0219200–e0219200. 56 indexed citations
6.
Almkvist, Ove, et al.. (2019). Subjective working and declarative memory in dementia and normal aging. Acta Neurologica Scandinavica. 140(2). 140–146. 5 indexed citations
7.
Tari, Atefe R., Javaid Nauman, Nina Zisko, et al.. (2019). Temporal changes in cardiorespiratory fitness and risk of dementia incidence and mortality: a population-based prospective cohort study. The Lancet Public Health. 4(11). e565–e574. 63 indexed citations
8.
Almkvist, Ove, et al.. (2017). Selective impact of disease on short-term and long-term components of self-reported memory: a population-based HUNT study. BMJ Open. 7(5). e013586–e013586. 10 indexed citations
9.
Bosnes, Ingunn, et al.. (2016). Prevalence and correlates of successful aging in a population-based sample of older adults: the HUNT study. International Psychogeriatrics. 29(3). 431–440. 26 indexed citations
10.
11.
Stordal, Eystein, et al.. (2012). Successfully aging elderly (SAE): A short overview of some important aspects of successful aging. Norsk Epidemiologi. 22(2). 5 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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