Amy Franklin

1.3k total citations
42 papers, 694 citations indexed

About

Amy Franklin is a scholar working on Artificial Intelligence, Health Information Management and General Health Professions. According to data from OpenAlex, Amy Franklin has authored 42 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Health Information Management and 7 papers in General Health Professions. Recurrent topics in Amy Franklin's work include Electronic Health Records Systems (7 papers), Digital Mental Health Interventions (5 papers) and Mobile Health and mHealth Applications (4 papers). Amy Franklin is often cited by papers focused on Electronic Health Records Systems (7 papers), Digital Mental Health Interventions (5 papers) and Mobile Health and mHealth Applications (4 papers). Amy Franklin collaborates with scholars based in United States, Australia and South Africa. Amy Franklin's co-authors include Thomas Kannampallil, Carolyn Mylander, Trevor Cohen, Vimla L. Patel, Sahiti Myneni, Todd R. Johnson, Susan Goldin‐Meadow, Thomas H. Milhorat, David S. Enterline and Marcy C. Speer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal Of Pathology.

In The Last Decade

Amy Franklin

39 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Franklin United States 14 156 120 102 97 87 42 694
Moritz Lehne Germany 14 128 0.8× 28 0.2× 147 1.4× 96 1.0× 161 1.9× 22 1.1k
Paul B. Greenberg United States 21 271 1.7× 218 1.8× 11 0.1× 150 1.5× 47 0.5× 146 2.8k
Krishnan Ganapathy India 18 278 1.8× 85 0.7× 31 0.3× 134 1.4× 19 0.2× 81 783
Giovanni Briganti Belgium 13 53 0.3× 62 0.5× 66 0.6× 38 0.4× 152 1.7× 45 942
Bernadette Richards Australia 11 118 0.8× 85 0.7× 20 0.2× 76 0.8× 86 1.0× 68 563
Daniel Lorence United States 16 100 0.6× 93 0.8× 123 1.2× 441 4.5× 54 0.6× 67 1.1k
Elizabeth A. Stephenson Canada 23 72 0.5× 244 2.0× 13 0.1× 23 0.2× 45 0.5× 75 1.4k
Abhimanyu S. Ahuja United States 9 77 0.5× 40 0.3× 65 0.6× 40 0.4× 121 1.4× 30 704
Michael Storck Germany 14 105 0.7× 9 0.1× 50 0.5× 141 1.5× 41 0.5× 68 824
Omer A. Awan United States 15 199 1.3× 131 1.1× 21 0.2× 82 0.8× 136 1.6× 115 1.1k

Countries citing papers authored by Amy Franklin

Since Specialization
Citations

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

Fields of papers citing papers by Amy Franklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Franklin

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Franklin. A scholar is included among the top collaborators of Amy Franklin 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 Amy Franklin. Amy Franklin 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.
Myneni, Sahiti, et al.. (2024). Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework. JAMIA Open. 7(1). ooae022–ooae022. 3 indexed citations
2.
Franklin, Amy, et al.. (2024). A scoping review of rule-based clinical decision support malfunctions. Journal of the American Medical Informatics Association. 31(10). 2405–2413. 3 indexed citations
3.
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5.
Franklin, Amy, Elsbeth Kalenderian, Nutan B. Hebballi, et al.. (2022). Building Consensus for a Shared Definition of Adverse Events: A Case Study in the Profession of Dentistry. Journal of Patient Safety. 18(5). 470–474. 1 indexed citations
6.
Cohen, Trevor, et al.. (2021). Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study. Journal of Medical Internet Research. 23(11). e32167–e32167. 4 indexed citations
7.
Wang, Jing, et al.. (2020). Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes. JMIR mhealth and uhealth. 8(3). e15927–e15927. 31 indexed citations
8.
Franklin, Amy, et al.. (2020). Persuasive Technology: Designing Mobile Health Triggers to Impact Health Behavior.. Journal of the Association for Information Systems. 2 indexed citations
9.
Rogith, Deevakar, et al.. (2019). NewCope: A Theory-Linked Mobile Application for Stress Education and Management. Studies in health technology and informatics. 264. 1150–1154. 6 indexed citations
10.
Zozus, Meredith, Carl F. Pieper, Constance Johnson, et al.. (2015). Factors Affecting Accuracy of Data Abstracted from Medical Records. PLoS ONE. 10(10). e0138649–e0138649. 42 indexed citations
11.
Tao, Cui, et al.. (2014). A work domain ontology for modeling emergency department workflow. 1320. 1 indexed citations
12.
Kannampallil, Thomas, et al.. (2014). Comparing the information seeking strategies of residents, nurse practitioners, and physician assistants in critical care settings. Journal of the American Medical Informatics Association. 21(e2). e249–e256. 29 indexed citations
13.
Walji, Muhammad F., Amy Franklin, Zhen Zhang, et al.. (2012). Rapid Usability Assessment of Commercial EHRs.. AMIA. 1 indexed citations
14.
Shang, Ning, Thomas Kannampallil, & Amy Franklin. (2012). Information Foraging Behavior in a Trauma Emergency Department.. AMIA. 1 indexed citations
15.
Kannampallil, Thomas, Amy Franklin, Rashmi Mishra, et al.. (2012). Understanding the nature of information seeking behavior in critical care: Implications for the design of health information technology. Artificial Intelligence in Medicine. 57(1). 21–29. 47 indexed citations
16.
Franklin, Amy, Ying Liu, Todd R. Johnson, et al.. (2011). Opportunistic decision making and complexity in emergency care. Journal of Biomedical Informatics. 44(3). 469–476. 54 indexed citations
17.
Kannampallil, Thomas, Min Zhang, Trevor Cohen, et al.. (2011). Making sense: Sensor-based investigation of clinician activities in complex critical care environments. Journal of Biomedical Informatics. 44(3). 441–454. 30 indexed citations
18.
Duncan, Susan, et al.. (2004). Cognitive Processing Effects of ‘Social Resonance’ in Interaction. eScholarship (California Digital Library). 26(26). 2 indexed citations
19.
Jacenko, Olena, Danny Chan, Amy Franklin, et al.. (2001). A Dominant Interference Collagen X Mutation Disrupts Hypertrophic Chondrocyte Pericellular Matrix and Glycosaminoglycan and Proteoglycan Distribution in Transgenic Mice. American Journal Of Pathology. 159(6). 2257–2269. 34 indexed citations
20.
Nye, Jeffrey S., et al.. (1999). Possible interaction of genotypes at cystathionine β‐synthase and methylenetetrahydrofolate reductase (MTHFR) in neural tube defects. Clinical Genetics. 56(2). 142–144. 36 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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