Jeffrey G. Klann

2.8k total citations
34 papers, 533 citations indexed

About

Jeffrey G. Klann is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jeffrey G. Klann has authored 34 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health Information Management, 15 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Jeffrey G. Klann's work include Electronic Health Records Systems (17 papers), Biomedical Text Mining and Ontologies (11 papers) and Machine Learning in Healthcare (8 papers). Jeffrey G. Klann is often cited by papers focused on Electronic Health Records Systems (17 papers), Biomedical Text Mining and Ontologies (11 papers) and Machine Learning in Healthcare (8 papers). Jeffrey G. Klann collaborates with scholars based in United States, Switzerland and Italy. Jeffrey G. Klann's co-authors include Shawn N. Murphy, Peter Szolovits, Gunther Schadow, Hossein Estiri, Kenneth D. Mandl, Stephen M. Downs, Stephen M. Downs, Kavishwar B. Wagholikar, Vibha Anand and Nich Wattanasin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Jeffrey G. Klann

34 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey G. Klann United States 16 235 205 112 78 71 34 533
Valentina Tibollo Italy 16 261 1.1× 242 1.2× 167 1.5× 70 0.9× 57 0.8× 39 879
Todd Ferris United States 9 141 0.6× 178 0.9× 175 1.6× 65 0.8× 97 1.4× 11 854
Ning Shang United States 12 220 0.9× 209 1.0× 215 1.9× 112 1.4× 111 1.6× 22 748
Brecht Claerhout Spain 10 218 0.9× 193 0.9× 188 1.7× 92 1.2× 168 2.4× 31 827
Danielle Dupont France 12 213 0.9× 116 0.6× 123 1.1× 49 0.6× 145 2.0× 31 710
Andrew Wen United States 18 199 0.8× 373 1.8× 278 2.5× 60 0.8× 80 1.1× 64 875
Frank DeFalco United States 12 127 0.5× 144 0.7× 230 2.1× 111 1.4× 93 1.3× 24 934
M.S. Mendis Sri Lanka 6 201 0.9× 240 1.2× 223 2.0× 69 0.9× 98 1.4× 14 728
Toan C. Ong United States 14 182 0.8× 172 0.8× 69 0.6× 135 1.7× 83 1.2× 38 786
Dennis Toddenroth Germany 11 122 0.5× 160 0.8× 110 1.0× 33 0.4× 50 0.7× 30 448

Countries citing papers authored by Jeffrey G. Klann

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey G. Klann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey G. Klann. 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 Jeffrey G. Klann. The network helps show where Jeffrey G. Klann may publish in the future.

Co-authorship network of co-authors of Jeffrey G. Klann

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey G. Klann. A scholar is included among the top collaborators of Jeffrey G. Klann 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 Jeffrey G. Klann. Jeffrey G. Klann 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.
Klann, Jeffrey G., Darren W. Henderson, Michele Morris, et al.. (2023). A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. Journal of the American Medical Informatics Association. 30(12). 1985–1994. 2 indexed citations
2.
Strasser, Zachary H., Arianna Dagliati, Zahra Shakeri Hossein Abad, et al.. (2023). A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework. SHILAP Revista de lepidopterología. 2(7). e0000301–e0000301. 2 indexed citations
3.
Estiri, Hossein, Zachary H. Strasser, Sina Rashidian, et al.. (2022). An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. Journal of the American Medical Informatics Association. 29(8). 1334–1341. 19 indexed citations
4.
Rossetti, Sarah Collins, Patricia C. Dykes, Min‐Jeoung Kang, et al.. (2021). The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR Research Protocols. 10(12). e30238–e30238. 15 indexed citations
5.
Rossetti, Sarah Collins, David J. Albers, Patricia C. Dykes, et al.. (2021). Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework. Journal of the American Medical Informatics Association. 28(6). 1242–1251. 24 indexed citations
6.
Ong, Mei‐Sing, Jeffrey G. Klann, Kueiyu Joshua Lin, et al.. (2020). Claims‐Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine‐Learning Approaches. Journal of the American Heart Association. 9(19). e016648–e016648. 23 indexed citations
7.
Estiri, Hossein, Jeffrey G. Klann, & Shawn N. Murphy. (2019). A clustering approach for detecting implausible observation values in electronic health records data. BMC Medical Informatics and Decision Making. 19(1). 142–142. 32 indexed citations
8.
Klann, Jeffrey G., et al.. (2018). The Ad-Hoc Uncertainty Principle of Patient Privacy.. PubMed. 2017. 132–138. 4 indexed citations
9.
Klann, Jeffrey G., et al.. (2016). Data interchange using i2b2. Journal of the American Medical Informatics Association. 23(5). 909–915. 57 indexed citations
10.
Klann, Jeffrey G., Marc D. Natter, Douglas MacFadden, et al.. (2015). The Scalable Collaborative Infrastructure for a Learning Health System.. AMIA. 1 indexed citations
11.
Klann, Jeffrey G., Vibha Anand, & Stephen M. Downs. (2013). Patient-tailored prioritization for a pediatric care decision support system through machine learning. PMC. 1 indexed citations
12.
Klann, Jeffrey G., Peter Szolovits, Stephen M. Downs, & Gunther Schadow. (2013). Decision support from local data: Creating adaptive order menus from past clinician behavior. DSpace@MIT (Massachusetts Institute of Technology). 11 indexed citations
13.
Klann, Jeffrey G. & Michael D. Buck. (2013). Query Health Across Communities: The New York City Department of Health and Mental Hygiene Pilot.. AMIA. 1 indexed citations
14.
Klann, Jeffrey G., Michael D. Buck, Jeffrey S. Brown, Shawn N. Murphy, & Douglas B. Fridsma. (2013). Query Health: One Step Toward a Learning Health System.. AMIA. 1 indexed citations
15.
Klann, Jeffrey G., Allison B. McCoy, Adam Wright, et al.. (2013). Health Care Transformation Through Collaboration on Open-Source Informatics Projects: Integrating a Medical Applications Platform, Research Data Repository, and Patient Summarization. SHILAP Revista de lepidopterología. 2(1). e11–e11. 19 indexed citations
16.
Klann, Jeffrey G., Vibha Anand, & Stephen M. Downs. (2013). Patient-tailored prioritization for a pediatric care decision support system through machine learning. Journal of the American Medical Informatics Association. 20(e2). e267–e274. 19 indexed citations
17.
Klann, Jeffrey G., Peter Szolovits, Stephen M. Downs, & Gunther Schadow. (2013). Decision support from local data: Creating adaptive order menus from past clinician behavior. Journal of Biomedical Informatics. 48. 84–93. 33 indexed citations
18.
Klann, Jeffrey G. & Shawn N. Murphy. (2013). Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside. Journal of Medical Internet Research. 15(4). e75–e75. 14 indexed citations
19.
Klann, Jeffrey G. & Shawn N. Murphy. (2012). Query Health and i2b2: Enabling Standards-based, Multiplatform Population Health Queries.. AMIA. 1 indexed citations
20.
Klann, Jeffrey G. & Peter Szolovits. (2009). An intelligent listening framework for capturing encounter notes from a doctor-patient dialog. BMC Medical Informatics and Decision Making. 9(S1). S3–S3. 34 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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