John Chelico

10.2k total citations
9 papers, 243 citations indexed

About

John Chelico is a scholar working on General Health Professions, Health Information Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Chelico has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Health Information Management and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Chelico's work include Electronic Health Records Systems (4 papers), Patient Satisfaction in Healthcare (2 papers) and Data Quality and Management (2 papers). John Chelico is often cited by papers focused on Electronic Health Records Systems (4 papers), Patient Satisfaction in Healthcare (2 papers) and Data Quality and Management (2 papers). John Chelico collaborates with scholars based in United States. John Chelico's co-authors include Rita Kukafka, Connie Chan, Sharib Khan, Karthik Natarajan, Jessica S. Ancker, Michael Qiu, Stavros Mountantonakis, Joanna Fishbein, James Gabriels and Laurence M. Epstein and has published in prestigious journals such as Journal of the American Academy of Dermatology, Heart Rhythm and Journal of Biomedical Informatics.

In The Last Decade

John Chelico

8 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Chelico United States	6	76	65	52	42	40	9	243
Parag Mehta United States	11	43 0.6×	79 1.2×	46 0.9×	38 0.9×	83 2.1×	25	357
Anna Ostropolets United States	11	107 1.4×	51 0.8×	84 1.6×	33 0.8×	34 0.8×	33	459
Yogesh Acharya Ireland	12	92 1.2×	26 0.4×	43 0.8×	70 1.7×	25 0.6×	59	443
Christian Haverkamp Germany	9	31 0.4×	33 0.5×	10 0.2×	101 2.4×	25 0.6×	18	310
Emma Montella Italy	9	45 0.6×	27 0.4×	22 0.4×	17 0.4×	21 0.5×	28	265
Daniel Eckrich United States	5	90 1.2×	36 0.6×	7 0.1×	21 0.5×	14 0.3×	9	231
Jared D. Huling United States	10	36 0.5×	13 0.2×	12 0.2×	50 1.2×	38 0.9×	45	306
Gretchen Hultman United States	10	24 0.3×	83 1.3×	11 0.2×	24 0.6×	104 2.6×	21	350
Supawadee Suppadungsuk Thailand	15	21 0.3×	38 0.6×	25 0.5×	14 0.3×	58 1.4×	49	545
James Batchelor United Kingdom	10	71 0.9×	9 0.1×	13 0.3×	47 1.1×	23 0.6×	28	291

Countries citing papers authored by John Chelico

Since Specialization

Citations

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

Fields of papers citing papers by John Chelico

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Chelico

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

All Works

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9 of 9 papers shown

Richardson, Safiya, Jeffrey Solomon, Sundas Khan, et al.. (2024). Effect of a behavioral nudge on adoption of an electronic health record-agnostic pulmonary embolism risk prediction tool: a pilot cluster nonrandomized controlled trial. JAMIA Open. 7(3). ooae064–ooae064.

Solomon, Jeffrey, Safiya Richardson, Sundas Khan, et al.. (2023). Integrating Clinical Decision Support Into Electronic Health Record Systems Using a Novel Platform (EvidencePoint): Developmental Study. JMIR Formative Research. 7. e44065–e44065. 10 indexed citations

Afshin‐Pour, Babak, Michael Qiu, Shahrzad Hosseini Vajargah, et al.. (2023). Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning. Intelligence-Based Medicine. 7. 100087–100087. 6 indexed citations

Richardson, Safiya, Jeffrey Solomon, Sundas Khan, et al.. (2022). Nudging Health Care Providers’ Adoption of Clinical Decision Support: Protocol for the User-Centered Development of a Behavioral Economics–Inspired Electronic Health Record Tool. JMIR Research Protocols. 12. e42653–e42653. 4 indexed citations

Mountantonakis, Stavros, Moussa Saleh, Joanna Fishbein, et al.. (2021). Atrial fibrillation is an independent predictor for in-hospital mortality in patients admitted with SARS-CoV-2 infection. Heart Rhythm. 18(4). 501–507. 70 indexed citations

Strunk, Andrew, Shari Wright, Aaron Zhang, et al.. (2020). Eruptions and related clinical course among 296 hospitalized adults with confirmed COVID-19. Journal of the American Academy of Dermatology. 84(4). 946–952. 22 indexed citations

Chelico, John, Adam Wilcox, David K. Vawdrey, & Gilad J. Kuperman. (2016). Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives.. PubMed. 2016. 381–390. 9 indexed citations

Kukafka, Rita, Jessica S. Ancker, Connie Chan, et al.. (2007). Redesigning electronic health record systems to support public health. Journal of Biomedical Informatics. 40(4). 398–409. 118 indexed citations

Chelico, John, et al.. (2007). Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases.. PubMed. 901–901. 4 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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