Anna Kharko

571 total citations
34 papers, 253 citations indexed

About

Anna Kharko is a scholar working on General Health Professions, Health Information Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Anna Kharko has authored 34 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 14 papers in Health Information Management and 12 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Anna Kharko's work include Electronic Health Records Systems (14 papers), Healthcare Systems and Technology (12 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Anna Kharko is often cited by papers focused on Electronic Health Records Systems (14 papers), Healthcare Systems and Technology (12 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Anna Kharko collaborates with scholars based in United Kingdom, Sweden and United States. Anna Kharko's co-authors include Maria Hägglund, Cosima Locher, Catherine M. DesRoches, Charlotte Blease, Charlotte Blease, Kenneth D. Mandl, Brian McMillan, Jens Gaab, Marco Annoni and Ian Walsh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Anna Kharko

31 papers receiving 251 citations

Peers

Anna Kharko
Timothy Zhang Canada
Mst. Rina Parvin Bangladesh
Jessica Kemp Canada
Majed Mowanes Alruwaili Saudi Arabia
Jocelyn Pérez United States
Alan Calvitti United States
Kristin Bell United States
Debra A. Werner United States
Joschka Haltaufderheide Germany
Robin Austin United States
Timothy Zhang Canada
Anna Kharko
Citations per year, relative to Anna Kharko Anna Kharko (= 1×) peers Timothy Zhang

Countries citing papers authored by Anna Kharko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kharko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kharko

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kharko. A scholar is included among the top collaborators of Anna Kharko 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 Anna Kharko. Anna Kharko 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.
Blease, Charlotte, Anna Kharko, Brian McMillan, et al.. (2025). General practitioners’ adoption of generative artificial intelligence in clinical practice in the UK: An updated online survey. Digital Health. 11. 610037999–610037999.
2.
Kharko, Anna, Jens Gaab, Cosima Locher, et al.. (2025). General practitioners’ opinions of generative artificial intelligence in the UK: An online survey. Digital Health. 11. 610004575–610004575. 2 indexed citations
3.
Kharko, Anna, Cosima Locher, John Torous, et al.. (2025). Generative artificial intelligence in medicine: a mixed-methods survey of UK general practitioners. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1(1). e000051–e000051. 3 indexed citations
4.
Kharko, Anna, Charlotte Blease, Anne Moen, et al.. (2024). Mapping Patients’ Online Record Access Worldwide: Preliminary Results from an International Survey of Healthcare Experts. Studies in health technology and informatics. 310. 114–118. 1 indexed citations
5.
Kujala, Sari, et al.. (2024). Patient Input into the Electronic Health Record: Co-Designing Solutions with Patients and Healthcare Professionals. Studies in health technology and informatics. 316. 1477–1481. 1 indexed citations
6.
Fagerlund, Asbjørn Johansen, Anna Kharko, Charlotte Blease, et al.. (2024). Experiences from patients in mental healthcare accessing their electronic health records: results from a cross-national survey in Estonia, Finland, Norway, and Sweden. BMC Psychiatry. 24(1). 2 indexed citations
7.
Blease, Charlotte, Anna Kharko, Zhiyong Dong, et al.. (2024). Experiences and opinions of general practitioners with patient online record access: an online survey in England. BMJ Open. 14(1). e078158–e078158. 11 indexed citations
8.
Hägglund, Maria, et al.. (2024). Research Participants’ Engagement and Retention in Digital Health Interventions Research: Protocol for Mixed Methods Systematic Review. JMIR Research Protocols. 14. e65099–e65099. 3 indexed citations
9.
Fagerlund, Asbjørn Johansen, Paolo Zanaboni, Maria Hägglund, et al.. (2023). Users’ Experiences With Online Access to Electronic Health Records in Mental and Somatic Health Care: Cross-Sectional Study. Journal of Medical Internet Research. 25. e47840–e47840. 2 indexed citations
10.
Kharko, Anna, et al.. (2023). Patients’ Experiences of Unwanted Access to Their Online Health Records. Studies in health technology and informatics. 302. 356–357. 6 indexed citations
11.
Blease, Charlotte, Anna Kharko, Michael H. Bernstein, et al.. (2023). Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland. JMIR Medical Education. 9. e42639–e42639. 3 indexed citations
12.
Kharko, Anna, Charlotte Blease, Åsa Cajander, et al.. (2023). Errors, Omissions, and Offenses in the Health Record of Mental Health Care Patients: Results from a Nationwide Survey in Sweden. Journal of Medical Internet Research. 25. e47841–e47841. 5 indexed citations
13.
Blease, Charlotte, et al.. (2023). Adolescents Identifying Errors and Omissions in Their Electronic Health Records: A National Survey. Studies in health technology and informatics. 302. 242–246. 1 indexed citations
14.
Hägglund, Maria, et al.. (2023). Changes in Documentation Due to Patient Access to Electronic Health Records: Protocol for a Scoping Review. JMIR Research Protocols. 12. e46722–e46722. 10 indexed citations
15.
Blease, Charlotte, John Torous, Zhiyong Dong, et al.. (2022). Patient Online Record Access in English Primary Care: Qualitative Survey Study of General Practitioners’ Views. Journal of Medical Internet Research. 25. e43496–e43496. 11 indexed citations
16.
Blease, Charlotte, Anna Kharko, Maria Hägglund, et al.. (2021). The benefits and harms of open notes in mental health: A Delphi survey of international experts. PLoS ONE. 16(10). e0258056–e0258056. 15 indexed citations
17.
Blease, Charlotte, John Torous, Anna Kharko, et al.. (2021). Preparing Patients and Clinicians for Open Notes in Mental Health: Qualitative Inquiry of International Experts. JMIR Mental Health. 8(4). e27397–e27397. 17 indexed citations
18.
Hudson, Matthew, et al.. (2021). Predictive action perception from explicit intention information in autism. Psychonomic Bulletin & Review. 28(5). 1556–1566. 11 indexed citations
19.
Koechlin, Helen, et al.. (2021). Placebo Responses and Their Clinical Implications in Fibromyalgia: A Meta-Analysis Using SSRI and SNRI Trials. SHILAP Revista de lepidopterología. 2. 750523–750523. 3 indexed citations
20.
Blease, Charlotte, Anna Kharko, Cosima Locher, Catherine M. DesRoches, & Kenneth D. Mandl. (2020). US primary care in 2029: A Delphi survey on the impact of machine learning. PLoS ONE. 15(10). e0239947–e0239947. 20 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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