Chelsea Doktorchik

884 total citations
31 papers, 566 citations indexed

About

Chelsea Doktorchik is a scholar working on Health Information Management, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chelsea Doktorchik has authored 31 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 11 papers in Epidemiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chelsea Doktorchik's work include Medical Coding and Health Information (13 papers), Chronic Disease Management Strategies (7 papers) and Machine Learning in Healthcare (4 papers). Chelsea Doktorchik is often cited by papers focused on Medical Coding and Health Information (13 papers), Chronic Disease Management Strategies (7 papers) and Machine Learning in Healthcare (4 papers). Chelsea Doktorchik collaborates with scholars based in Canada, Australia and New Zealand. Chelsea Doktorchik's co-authors include Hude Quan, Cathy A. Eastwood, Tyler Williamson, Suzanne Tough, Mingkai Peng, Scott B. Patten, Shahirose Premji, Guanmin Chen, Erin Hetherington and Sheila McDonald and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Clinical Gastroenterology and Hepatology.

In The Last Decade

Chelsea Doktorchik

30 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chelsea Doktorchik Canada 13 185 143 115 71 62 31 566
Bishwajit Bhowmik Norway 17 185 1.0× 220 1.5× 43 0.4× 90 1.3× 57 0.9× 43 1.2k
Stephanie Garies Canada 11 121 0.7× 178 1.2× 104 0.9× 132 1.9× 18 0.3× 34 639
Zahra Hoodbhoy Pakistan 15 160 0.9× 98 0.7× 48 0.4× 123 1.7× 129 2.1× 63 752
Denise Cifelli United States 6 90 0.5× 49 0.3× 57 0.5× 52 0.7× 48 0.8× 7 702
Biju Soman India 11 187 1.0× 103 0.7× 57 0.5× 79 1.1× 52 0.8× 52 674
Tanya Mashiach Israel 14 125 0.7× 137 1.0× 24 0.2× 136 1.9× 42 0.7× 33 695
Christopher M. Horvat United States 14 79 0.4× 265 1.9× 30 0.3× 56 0.8× 18 0.3× 84 843
Omid Pournik Iran 13 37 0.2× 104 0.7× 92 0.8× 136 1.9× 27 0.4× 49 572
Flory L. Nkoy United States 20 64 0.3× 101 0.7× 56 0.5× 200 2.8× 18 0.3× 49 913
Jay Desai United States 21 186 1.0× 324 2.3× 89 0.8× 366 5.2× 15 0.2× 59 1.5k

Countries citing papers authored by Chelsea Doktorchik

Since Specialization
Citations

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

Fields of papers citing papers by Chelsea Doktorchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Doktorchik

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsea Doktorchik. A scholar is included among the top collaborators of Chelsea Doktorchik 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 Chelsea Doktorchik. Chelsea Doktorchik 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.
Doktorchik, Chelsea, et al.. (2024). Emerging Uses of Artificial Intelligence in Chronic Dermatologic Disease: A Scoping Review. Journal of Cutaneous Medicine and Surgery. 29(3). 274–281.
2.
3.
Doktorchik, Chelsea, et al.. (2022). International Classification of Diseases clinical coding training: An international survey. Health Information Management Journal. 53(2). 68–75. 9 indexed citations
4.
Eastwood, Cathy A., et al.. (2022). Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018. BMC Research Notes. 15(1). 343–343. 10 indexed citations
5.
Doktorchik, Chelsea, Elliot A. Martin, Cathy A. Eastwood, et al.. (2021). Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review. JMIR Medical Informatics. 9(2). e23934–e23934. 14 indexed citations
6.
Eastwood, Cathy A., et al.. (2021). Training and experience of coding with the World Health Organization’s International Classification of Diseases, Eleventh Revision. Health Information Management Journal. 52(2). 92–100. 14 indexed citations
7.
Wiebe, Natalie, et al.. (2021). Describing agreement in the Main Condition coding field using Canadian ICD-11 inpatient data. International Journal for Population Data Science. 6(1). 1397–1397. 1 indexed citations
8.
Santana, Maria, Sandra Zelinsky, Sadia Ahmed, et al.. (2020). Patients, clinicians and researchers working together to improve cardiovascular health: a qualitative study of barriers and priorities for patient-oriented research. BMJ Open. 10(2). e031187–e031187. 14 indexed citations
9.
Peng, Mingkai, et al.. (2020). Development and validation of data quality rules in administrative health data using association rule mining. BMC Medical Informatics and Decision Making. 20(1). 75–75. 10 indexed citations
10.
Doktorchik, Chelsea, et al.. (2020). Quality assessment of RNA in long-term storage: The All Our Families biorepository. PLoS ONE. 15(12). e0242404–e0242404. 8 indexed citations
11.
Xu, Yuan, Elliot A. Martin, Chelsea Doktorchik, et al.. (2020). Enhancing ICD-Code-Based Case Definition for Heart Failure Using Electronic Medical Record Data. Journal of Cardiac Failure. 26(7). 610–617. 21 indexed citations
12.
Li, Bing, Elliot A. Martin, Jason Jiang, et al.. (2020). CREATE: A New Data Resource to Support Cardiac Precision Health. CJC Open. 3(5). 639–645. 8 indexed citations
13.
Doktorchik, Chelsea, Scott B. Patten, Cathy A. Eastwood, et al.. (2019). Validation of a case definition for depression in administrative data against primary chart data as a reference standard. BMC Psychiatry. 19(1). 9–9. 98 indexed citations
14.
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Doktorchik, Chelsea, Mark Woodward, Mary E. Cogswell, et al.. (2018). Percentage of ingested sodium excreted in 24‐hour urine collections: A systematic review and meta‐analysis. Journal of Clinical Hypertension. 20(9). 1220–1229. 64 indexed citations
16.
Peng, Mingkai, Vijaya Sundararajan, Tyler Williamson, et al.. (2018). Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data. Journal of Biomedical Informatics. 79. 41–47. 17 indexed citations
17.
Peng, Mingkai, Vijaya Sundararajan, Tyler Williamson, et al.. (2018). Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes. Data in Brief. 18. 710–712. 2 indexed citations
18.
Doktorchik, Chelsea, Kimberly Manalili, Rachel Jolley, et al.. (2018). Identifying Canadian patient-centred care measurement practices and quality indicators: a survey. CMAJ Open. 6(4). E643–E650. 9 indexed citations
19.
Doktorchik, Chelsea, Shahirose Premji, Donna M. Slater, et al.. (2017). Patterns of change in anxiety and depression during pregnancy predict preterm birth. Journal of Affective Disorders. 227. 71–78. 29 indexed citations
20.
Hetherington, Erin, Chelsea Doktorchik, Shahirose Premji, et al.. (2015). Preterm Birth and Social Support during Pregnancy: a Systematic Review and Meta‐Analysis. Paediatric and Perinatal Epidemiology. 29(6). 523–535. 65 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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