Jonathan P. Palma

649 total citations
33 papers, 433 citations indexed

About

Jonathan P. Palma is a scholar working on Health Information Management, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jonathan P. Palma has authored 33 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 11 papers in Surgery and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jonathan P. Palma's work include Electronic Health Records Systems (14 papers), Healthcare Technology and Patient Monitoring (9 papers) and Neonatal Respiratory Health Research (5 papers). Jonathan P. Palma is often cited by papers focused on Electronic Health Records Systems (14 papers), Healthcare Technology and Patient Monitoring (9 papers) and Neonatal Respiratory Health Research (5 papers). Jonathan P. Palma collaborates with scholars based in United States, India and South Korea. Jonathan P. Palma's co-authors include Chris Longhurst, Paul J. Sharek, Valerie Y. Chock, Matthew B. Wallenstein, W.E. Benitz, Natalie M. Pageler, Jennifer Andrews, Gary M. Shaw, Veena Goel and David K. Stevenson and has published in prestigious journals such as Scientific Reports, IEEE Access and The Journal of Pediatrics.

In The Last Decade

Jonathan P. Palma

33 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan P. Palma United States 11 140 108 97 76 64 33 433
Robin Walker Canada 8 189 1.4× 177 1.6× 39 0.4× 53 0.7× 74 1.2× 16 393
Oğuz Kılıçkaya United States 12 45 0.3× 25 0.2× 60 0.6× 140 1.8× 79 1.2× 24 458
Marc A. Ellsworth United States 12 111 0.8× 118 1.1× 96 1.0× 83 1.1× 45 0.7× 24 397
Simon J. Newell United Kingdom 10 100 0.7× 98 0.9× 39 0.4× 104 1.4× 84 1.3× 16 398
Brent R. King United States 10 147 1.1× 22 0.2× 48 0.5× 50 0.7× 83 1.3× 36 510
Qiancheng Xu China 10 137 1.0× 56 0.5× 11 0.1× 43 0.6× 84 1.3× 42 520
Thibaut Caruba France 11 39 0.3× 38 0.4× 71 0.7× 117 1.5× 34 0.5× 31 482
Roland B. McGrath United States 7 29 0.2× 23 0.2× 98 1.0× 58 0.8× 39 0.6× 13 369
Elizabeth H. Mack United States 9 49 0.3× 29 0.3× 42 0.4× 71 0.9× 60 0.9× 27 394
Hiroshi Ikai Japan 15 52 0.4× 26 0.2× 32 0.3× 50 0.7× 125 2.0× 38 488

Countries citing papers authored by Jonathan P. Palma

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Palma. 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 Jonathan P. Palma. The network helps show where Jonathan P. Palma may publish in the future.

Co-authorship network of co-authors of Jonathan P. Palma

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. Palma. A scholar is included among the top collaborators of Jonathan P. Palma 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 Jonathan P. Palma. Jonathan P. Palma 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.
Kaur, Ravneet, Ryan M. McAdams, Yao Sun, et al.. (2023). An Ontology and Rule-Based Clinical Decision Support System for Personalized Nutrition Recommendations in the Neonatal Intensive Care Unit. IEEE Access. 11. 142433–142446. 5 indexed citations
2.
3.
Palma, Jonathan P., et al.. (2022). Clinical decision support in the neonatal ICU. Seminars in Fetal and Neonatal Medicine. 27(5). 101332–101332. 3 indexed citations
4.
Morse, Keith, Scott L. Fleming, David Scheinker, et al.. (2022). Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model. Applied Clinical Informatics. 13(2). 431–438. 3 indexed citations
5.
Cho, Su Jin, Ravneet Kaur, Satish Saluja, et al.. (2021). Designing a bed-side system for predicting length of stay in a neonatal intensive care unit. Scientific Reports. 11(1). 3342–3342. 9 indexed citations
6.
Palma, Jonathan P., et al.. (2021). A narrative review of electronic clinical decision support tools for hyperbilirubinemia management. 4. 36–36. 1 indexed citations
7.
Banda, Juan M., et al.. (2020). Clinical decision support tool for phototherapy initiation in preterm infants. Journal of Perinatology. 40(10). 1518–1523. 8 indexed citations
8.
Kusuda, Satoshi, Ryan M. McAdams, Ravneet Kaur, et al.. (2020). Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study. Children. 8(1). 1–1. 6 indexed citations
9.
Kaur, Ravneet, et al.. (2018). Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU). IEEE Access. 7. 7803–7813. 16 indexed citations
10.
Longhurst, Chris, Natalie M. Pageler, Jonathan P. Palma, et al.. (2016). Early experiences of accredited clinical informatics fellowships. Journal of the American Medical Informatics Association. 23(4). 829–834. 29 indexed citations
11.
Palma, Jonathan P., et al.. (2016). Development of a Web-Based Decision Support Tool to Operationalize and Optimize Management of Hyperbilirubinemia in Preterm Infants. Clinics in Perinatology. 43(2). 375–383. 9 indexed citations
12.
Wallenstein, Matthew B., Weiguang Yang, Nicole K. Yamada, et al.. (2015). Failed endotracheal intubation and adverse outcomes among extremely low birth weight infants. Journal of Perinatology. 36(2). 112–115. 61 indexed citations
13.
Wallenstein, Matthew B., et al.. (2014). Red Blood Cell Transfusion Is Not Associated with Necrotizing Enterocolitis: A Review of Consecutive Transfusions in a Tertiary Neonatal Intensive Care Unit. The Journal of Pediatrics. 165(4). 678–682. 47 indexed citations
14.
Wallenstein, Matthew B., Mehmet Ozgün Ozen, Nilay Shah, et al.. (2014). Pulmonary hypertensive crisis following ethanol sclerotherapy for a complex vascular malformation. Journal of Perinatology. 34(9). 713–715. 3 indexed citations
15.
Palma, Jonathan P., et al.. (2013). Immunization Registries in the EMR Era. Online Journal of Public Health Informatics. 5(2). 211–211. 19 indexed citations
16.
Longhurst, Chris, et al.. (2013). Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.. PubMed. 27(3). 79–83. 4 indexed citations
17.
Palma, Jonathan P., Heather Keller, Karen I. Wayman, et al.. (2012). Impact of an EMR-Based Daily Patient Update Letter on Communication and Parent Engagement in a Neonatal Intensive Care Unit.. PubMed. 4. 7 indexed citations
18.
Palma, Jonathan P., Paul J. Sharek, & Chris Longhurst. (2011). Impact of electronic medical record integration of a handoff tool on sign-out in a newborn intensive care unit. Journal of Perinatology. 31(5). 311–317. 51 indexed citations
19.
Palma, Jonathan P., Erik G. Van Eaton, & Chris Longhurst. (2011). Topics In Neonatal Informatics. NeoReviews. 12(10). e560–e563. 4 indexed citations
20.
Araya, Juan J., et al.. (1988). [Cryptosporidiosis in northern Chile. II. Prevalence in infants with acute diarrheal syndrome].. PubMed. 42(1-2). 12–6. 1 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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