Amit Lampit

6.2k total citations · 4 hit papers
71 papers, 3.8k citations indexed

About

Amit Lampit is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Amit Lampit has authored 71 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Psychiatry and Mental health, 19 papers in Cognitive Neuroscience and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Amit Lampit's work include Dementia and Cognitive Impairment Research (20 papers), Cognitive Abilities and Testing (8 papers) and Cognitive Functions and Memory (7 papers). Amit Lampit is often cited by papers focused on Dementia and Cognitive Impairment Research (20 papers), Cognitive Abilities and Testing (8 papers) and Cognitive Functions and Memory (7 papers). Amit Lampit collaborates with scholars based in Australia, Germany and Sweden. Amit Lampit's co-authors include Michael Valenzuela, Harry Hallock, Sharon L. Naismith, Loren Mowszowski, Nicole T. M. Hill, Verity Chadwick, Adam J. Guastella, Ian B. Hickie, Jonathon Pye and E Demetriou and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Neurology.

In The Last Decade

Amit Lampit

67 papers receiving 3.8k citations

Hit Papers

Computerized Cognitive Tr... 2014 2026 2018 2022 2014 2016 2017 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Amit Lampit 1.6k 1.3k 737 454 390 71 3.8k
Rudolf Ponds 2.1k 1.3× 1.3k 1.0× 955 1.3× 504 1.1× 231 0.6× 183 5.3k
R.P.C. Kessels 1.2k 0.8× 1.7k 1.3× 638 0.9× 307 0.7× 213 0.5× 85 4.6k
Kevin Duff 2.0k 1.2× 1.2k 1.0× 617 0.8× 198 0.4× 210 0.5× 160 3.7k
Alastair J. Flint 1.9k 1.2× 1.0k 0.8× 937 1.3× 982 2.2× 283 0.7× 204 5.0k
Paige E. Scalf 1.1k 0.7× 2.0k 1.6× 649 0.9× 276 0.6× 522 1.3× 29 4.7k
Hannah A. D. Keage 1.1k 0.7× 1.1k 0.9× 469 0.6× 211 0.5× 449 1.2× 122 4.0k
Sandra B. Chapman 1.4k 0.9× 2.2k 1.7× 759 1.0× 801 1.8× 201 0.5× 149 5.9k
Malcolm A. Binns 1.3k 0.8× 2.2k 1.7× 686 0.9× 281 0.6× 112 0.3× 101 4.8k
Glynda Kinsella 1.9k 1.2× 1.8k 1.4× 903 1.2× 729 1.6× 113 0.3× 122 5.3k
Melissa Lamar 2.2k 1.4× 1.8k 1.4× 592 0.8× 229 0.5× 386 1.0× 245 4.9k

Countries citing papers authored by Amit Lampit

Since Specialization
Citations

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

Fields of papers citing papers by Amit Lampit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Lampit

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Lampit. A scholar is included among the top collaborators of Amit Lampit 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 Amit Lampit. Amit Lampit 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.
Witte, Martina de, Sonja Aalbers, Annemieke Vink, et al.. (2025). Music therapy for the treatment of anxiety: a systematic review with multilevel meta-analyses. EClinicalMedicine. 84. 103293–103293. 1 indexed citations
2.
Sousa, Tanara Vieira, Dianna Vidas, Jeanette Tamplin, et al.. (2025). Music attuned technology care via eHealth (MATCH): A proof-of-concept study for community-dwelling people living with dementia and caregivers. Digital Health. 11. 610023480–610023480.
4.
Sousa, Tanara Vieira, Jeanette Tamplin, Jenny Waycott, et al.. (2024). Music Attuned Technology: Care via eHealth (MATCH): A proof‐of‐concept study trialling a music therapy informed mobile application for caregivers of people living with dementia. Alzheimer s & Dementia. 20(S4). 1 indexed citations
5.
Lampit, Amit, et al.. (2024). Executive function in children with neurodevelopmental conditions: a systematic review and meta-analysis. Nature Human Behaviour. 8(12). 2357–2366. 14 indexed citations
6.
Vidas, Dianna, Ryan Kelly, Jenny Waycott, et al.. (2024). Family Caregiver Experiences of Using a Mobile App for Music-based Training to Support Dementia Care. 1–16. 6 indexed citations
8.
Bartels, Frederik, et al.. (2024). Computerized cognitive training improves cognitive function in primary breast cancer survivors. npj Breast Cancer. 10(1). 85–85. 3 indexed citations
10.
Bahar‐Fuchs, Alex, et al.. (2023). Delivery of cognition‐oriented treatments for older people with MCI in Australian Memory Clinics: A pilot implementation study. Alzheimer s & Dementia. 19(S19). 1 indexed citations
11.
Greaves, Danielle, Peter J. Psaltis, Amit Lampit, et al.. (2023). The effects of computerised cognitive training on post-CABG delirium and cognitive change: A prospective randomised controlled trial. PubMed. 1. 67976–67976. 8 indexed citations
12.
Sabatés, Julieta, Samantha M. Loi, Amit Lampit, et al.. (2023). The Associations Between Neuropsychiatric Symptoms and Cognition in People with Dementia: A Systematic Review and Meta-Analysis. Neuropsychology Review. 34(2). 581–597. 12 indexed citations
13.
Stratton, Elizabeth, Amit Lampit, Isabella Choi, et al.. (2022). Trends in Effectiveness of Organizational eHealth Interventions in Addressing Employee Mental Health: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 24(9). e37776–e37776. 25 indexed citations
14.
Gavelin, Hanna Malmberg, et al.. (2020). Computerised cognitive training in Parkinson’s disease: a protocol for a systematic review and updated meta-analysis. BMJ Open. 10(11). e040656–e040656. 1 indexed citations
15.
Hill, Nicole T. M., Jo Robinson, Jane Pirkis, et al.. (2020). Association of suicidal behavior with exposure to suicide and suicide attempt: A systematic review and multilevel meta-analysis. PLoS Medicine. 17(3). e1003074–e1003074. 82 indexed citations
16.
Walton, Courtney C., Amit Lampit, Harry Hallock, et al.. (2019). Design and Development of the Brain Training System for the Digital “Maintain Your Brain” Dementia Prevention Trial. JMIR Aging. 2(1). e13135–e13135. 12 indexed citations
17.
Poudel, Govinda, Kathleen J. Maddison, Amit Lampit, et al.. (2019). Effect of multidisciplinary rehabilitation on sleep outcomes in individuals with preclinical Huntington disease: An exploratory study. Annals of Physical and Rehabilitation Medicine. 63(6). 570–573. 6 indexed citations
18.
Sturnieks, Daina L., Jasmine C. Menant, Michael Valenzuela, et al.. (2019). Effect of cognitive-only and cognitive-motor training on preventing falls in community-dwelling older people: protocol for the smart±step randomised controlled trial. BMJ Open. 9(8). e029409–e029409. 14 indexed citations
20.
Mowszowski, Loren, Amit Lampit, Courtney C. Walton, & Sharon L. Naismith. (2016). Strategy-Based Cognitive Training for Improving Executive Functions in Older Adults: a Systematic Review. Neuropsychology Review. 26(3). 252–270. 60 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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