Megan Kaiser

746 total citations
14 papers, 481 citations indexed

About

Megan Kaiser is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Megan Kaiser has authored 14 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Health Information Management and 6 papers in Artificial Intelligence. Recurrent topics in Megan Kaiser's work include Biomedical Text Mining and Ontologies (6 papers), Electronic Health Records Systems (6 papers) and Topic Modeling (5 papers). Megan Kaiser is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Electronic Health Records Systems (6 papers) and Topic Modeling (5 papers). Megan Kaiser collaborates with scholars based in United States and Hong Kong. Megan Kaiser's co-authors include Imre Solti, Todd Lingren, Louise Deléger, Laura Stoutenborough, Qi Li, Haijun Zhai, Yizhao Ni, Keith Marsolo, J. J. Wright and Isaac S. Kohane and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Megan Kaiser

14 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Kaiser United States 11 233 196 112 56 38 14 481
Haijun Zhai United States 11 201 0.9× 120 0.6× 82 0.7× 48 0.9× 41 1.1× 19 464
Laura Stoutenborough United States 8 189 0.8× 148 0.8× 67 0.6× 18 0.3× 19 0.5× 10 336
Philipp Daumke Germany 9 377 1.6× 331 1.7× 126 1.1× 60 1.1× 15 0.4× 29 696
Louise Deléger France 18 521 2.2× 429 2.2× 113 1.0× 67 1.2× 5 0.1× 46 844
Hans Moen Finland 11 464 2.0× 333 1.7× 78 0.7× 51 0.9× 10 0.3× 50 824
Tonya Hongsermeier United States 11 106 0.5× 150 0.8× 211 1.9× 55 1.0× 12 0.3× 28 451
Adam Wong Hong Kong 6 83 0.4× 66 0.3× 134 1.2× 100 1.8× 6 0.2× 20 488
Josef Ingenerf Germany 13 130 0.6× 188 1.0× 181 1.6× 60 1.1× 7 0.2× 67 525
Amber Stubbs United States 13 824 3.5× 471 2.4× 163 1.5× 32 0.6× 5 0.1× 19 978
Omar Bouhaddou United States 14 168 0.7× 198 1.0× 306 2.7× 89 1.6× 18 0.5× 41 591

Countries citing papers authored by Megan Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Megan Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Kaiser

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

All Works

14 of 14 papers shown
1.
Li, Qi, Eric S. Kirkendall, Eric S. Hall, et al.. (2015). Automated detection of medication administration errors in neonatal intensive care. Journal of Biomedical Informatics. 57. 124–133. 27 indexed citations
2.
Ni, Yizhao, J. J. Wright, John P. Perentesis, et al.. (2015). Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients. BMC Medical Informatics and Decision Making. 15(1). 28–28. 88 indexed citations
3.
Li, Qi, S. Andrew Spooner, Megan Kaiser, et al.. (2015). An end-to-end hybrid algorithm for automated medication discrepancy detection. BMC Medical Informatics and Decision Making. 15(1). 37–37. 28 indexed citations
4.
Deléger, Louise, Todd Lingren, Yizhao Ni, et al.. (2014). Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research. Journal of Biomedical Informatics. 50. 173–183. 23 indexed citations
5.
Li, Qian, Kristin Melton, Todd Lingren, et al.. (2014). Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. Journal of the American Medical Informatics Association. 21(5). 776–784. 42 indexed citations
6.
Li, Qi, Louise Deléger, Todd Lingren, et al.. (2013). Mining FDA drug labels for medical conditions. BMC Medical Informatics and Decision Making. 13(1). 53–53. 26 indexed citations
7.
Lingren, Todd, Louise Deléger, Haijun Zhai, et al.. (2013). Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements. Journal of the American Medical Informatics Association. 21(3). 406–413. 59 indexed citations
8.
Zhai, Haijun, Todd Lingren, Louise Deléger, et al.. (2013). Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing. Journal of Medical Internet Research. 15(4). e73–e73. 52 indexed citations
9.
Li, Qi, Haijun Zhai, Louise Deléger, et al.. (2012). A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction. Journal of the American Medical Informatics Association. 20(5). 915–921. 18 indexed citations
10.
Deléger, Louise, Krisztina Molnár, Guergana Savova, et al.. (2012). Large-scale evaluation of automated clinical note de-identification and its impact on information extraction. Journal of the American Medical Informatics Association. 20(1). 84–94. 59 indexed citations
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13.
Deléger, Louise, Qi Li, Todd Lingren, et al.. (2012). Building gold standard corpora for medical natural language processing tasks.. PubMed. 2012. 144–53. 54 indexed citations
14.
Kaiser, Megan. (1952). [Problems of Viennese drinking water].. PubMed. 64(15). 261–4. 2 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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