Lisa P. Newmark

1.3k total citations
25 papers, 889 citations indexed

About

Lisa P. Newmark is a scholar working on Health Information Management, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Lisa P. Newmark has authored 25 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health Information Management, 6 papers in General Health Professions and 6 papers in Geriatrics and Gerontology. Recurrent topics in Lisa P. Newmark's work include Electronic Health Records Systems (17 papers), Pharmaceutical Practices and Patient Outcomes (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Lisa P. Newmark is often cited by papers focused on Electronic Health Records Systems (17 papers), Pharmaceutical Practices and Patient Outcomes (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Lisa P. Newmark collaborates with scholars based in United States and South Korea. Lisa P. Newmark's co-authors include David W. Bates, Karandeep Singh, Courtney R. Lyles, Gato Gourley, Lina Tieu, Urmimala Sarkar, A Jay Holmgren, Lynn A. Volk, Kaitlin Drouin and Jae‐Ho Lee and has published in prestigious journals such as Medical Care, Journal of General Internal Medicine and Health Affairs.

In The Last Decade

Lisa P. Newmark

23 papers receiving 857 citations

Peers

Lisa P. Newmark

GHP

HIM

PHEOH

OBHRM

Joshua E. Richardson United States

Nicholas R. Hardiker United Kingdom

Huibert Tange Netherlands

Natalie C. Benda United States

Ben-Tzion Karsh United States

Mary Etta Mills United States

Josette Jones United States

Santosh Krishna United States

Michelle Honey New Zealand

Ehsan Nabovati Iran

Joshua E. Richardson United States

Lisa P. Newmark

485 ×1.1

GHP

346 ×1.2

HIM

85 ×0.4

263 ×1.7

PHEOH

111 ×1.3

OBHRM

Citations per year, relative to Lisa P. Newmark Lisa P. Newmark (= 1×) peers Joshua E. Richardson

Countries citing papers authored by Lisa P. Newmark

Since Specialization

Citations

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

Fields of papers citing papers by Lisa P. Newmark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa P. Newmark

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

All Works

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20 of 20 papers shown

Syrowatka, Ania, Lynn A. Volk, Heba H Edrees, et al.. (2023). Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson. JMIR Human Factors. 10. e43960–e43960. 6 indexed citations

Holmgren, A Jay, David C. Classen, Lisa P. Newmark, et al.. (2021). The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned. Applied Clinical Informatics. 12(1). 153–163. 8 indexed citations

Levine, David M., et al.. (2020). Design and testing of a mobile health application rating tool. npj Digital Medicine. 3(1). 74–74. 51 indexed citations

Holmgren, A Jay, et al.. (2019). Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support. BMJ Quality & Safety. 29(1). 52–59. 26 indexed citations

Salzberg, Claudia, Asaf Bitton, Stuart R. Lipsitz, et al.. (2017). The Impact of Alternative Payment in Chronically Ill and Older Patients in the Patient-centered Medical Home. Medical Care. 55(5). 483–492. 8 indexed citations

Sarkar, Urmimala, Gato Gourley, Courtney R. Lyles, et al.. (2016). Usability of Commercially Available Mobile Applications for Diverse Patients. Journal of General Internal Medicine. 31(12). 1417–1426. 198 indexed citations

Singh, Karandeep, Kaitlin Drouin, Lisa P. Newmark, et al.. (2016). Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mhealth and uhealth. 4(4). e136–e136. 42 indexed citations

Volk, Lynn A., Lisa P. Newmark, Matthew Varugheese, et al.. (2016). Evaluation: A Qualitative Pilot Study of Novel Information Technology Infrastructure to Communicate Genetic Variant Updates. Applied Clinical Informatics. 7(2). 461–476. 9 indexed citations

Singh, Karandeep, Kaitlin Drouin, Lisa P. Newmark, et al.. (2016). Many Mobile Health Apps Target High-Need, High-Cost Populations, But Gaps Remain. Health Affairs. 35(12). 2310–2318. 148 indexed citations

10.

Wilcox, Allison R., Pamela M. Neri, Lynn A. Volk, et al.. (2013). A novel clinician interface to improve clinician access to up-to-date genetic results. Journal of the American Medical Informatics Association. 21(e1). e117–e121. 13 indexed citations

11.

Neri, Pamela M., Lynn A. Volk, Lisa P. Newmark, et al.. (2012). Usability of a novel clinician interface for genetic results. Journal of Biomedical Informatics. 45(5). 950–957. 22 indexed citations

12.

El‐Kareh, Robert, Tapan Kumar Gandhi, Eric G. Poon, et al.. (2011). Actionable reminders did not improve performance over passive reminders for overdue tests in the primary care setting. Journal of the American Medical Informatics Association. 18(2). 160–163. 13 indexed citations

13.

El‐Kareh, Robert, Tejal K. Gandhi, Eric G. Poon, et al.. (2009). Trends in Primary Care Clinician Perceptions of a New Electronic Health Record. Journal of General Internal Medicine. 24(4). 464–468. 70 indexed citations

14.

El‐Kareh, Robert, Tejal K. Gandhi, Eric G. Poon, et al.. (2008). Trends in clinician perceptions of a new electronic health record.. PubMed. 940–940. 2 indexed citations

15.

Poon, Eric G., et al.. (2008). Impact of Barcode Medication Administration Technology on How Nurses Spend Their Time Providing Patient Care. JONA The Journal of Nursing Administration. 38(12). 541–549. 22 indexed citations

16.

Lo, Helen G, Lisa P. Newmark, Catherine Yoon, et al.. (2007). Electronic Health Records in Specialty Care: A Time-Motion Study. Journal of the American Medical Informatics Association. 14(5). 609–615. 69 indexed citations

17.

Volk, Lynn A., Ruslana Tsurikova, Lisa P. Newmark, et al.. (2007). An effort to improve electronic health record medication list accuracy between visits: Patients’ and physicians’ response. International Journal of Medical Informatics. 77(3). 153–160. 63 indexed citations

18.

Lo, Helen G, Lisa P. Newmark, Catherine Yoon, et al.. (2006). The electronic health record (EHR) in specialty care: a time-motion study.. PubMed. 1014–1014. 3 indexed citations

19.

Poon, Eric G., Carol Keohane, Andrew Dervan, et al.. (2006). Impact of barcode medication administration technology on how nurses spend their time on clinical care.. PubMed. 1065–1065. 21 indexed citations

20.

Newmark, Lisa P.. (1963). The Development of a Residents' Council in a Home for the Aged. The Gerontologist. 3(1). 22–25.

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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