Mary H Stanfill
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Molecular Biology
- Health Informatics top 2%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- David T. MarcSusan H. FentonRobert A. JendersWilliam HershMargaret WilliamsPeter AustinVickie M. MaysValerie Watzlaf
- Topics
- Medical Coding and Health Information (8 papers)Electronic Health Records Systems (5 papers)Biomedical Text Mining and Ontologies (3 papers)
- Journals
- Journal of the American Medical Informatics AssociationYearbook of Medical InformaticsStudies in health technology and informatics
- Partner nations
- United StatesBelgiumPortugal
In The Last Decade
Mary H Stanfill
11 papers receiving 255 citations
Peers
Comparison fields: 5 of 69
- Health Information Management 113
- Artificial Intelligence 112
- Molecular Biology 102
- Health Informatics 54
- Radiology, Nuclear Medicine and Imaging 31
Countries citing papers authored by Mary H Stanfill
This map shows the geographic impact of Mary H Stanfill'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 Mary H Stanfill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary H Stanfill more than expected).
Fields of papers citing papers by Mary H Stanfill
This network shows the impact of papers produced by Mary H Stanfill. 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 Mary H Stanfill. The network helps show where Mary H Stanfill may publish in the future.
Co-authorship network of co-authors of Mary H Stanfill
This figure shows the co-authorship network connecting the top 25 collaborators of Mary H Stanfill. A scholar is included among the top collaborators of Mary H Stanfill 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 Mary H Stanfill. Mary H Stanfill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 81 | |
| 5 | Preparing for ICD-10-CM/PCS implementation: impact on productivity and quality. | 11 |
| 6 | Preparing for ICD-10-CM/PCS Implementation: Impact on Productivity and Quality. | 7 |
| 7 | 155 | |
| 8 | 1 | |
| 9 | Essential people skills for EHR implementation success. | 10 |
| 10 | Physicians cast wary eye at computer-assisted coding. | 1 |
| 11 | Change at hand: how PDAs can transform coding, billing. | 1 |
| 12 | Outwit, Outlast, Outcode: Surviving in the Autocoding Era | 1 |
| 13 | Ethical coding in the physician office. | 1 |
About Mary H Stanfill
Mary H Stanfill is a scholar working on Health Information Management, Health Informatics and Pharmacy, having authored 13 papers that have together received 273 indexed citations. Recurring topics across this work include Medical Coding and Health Information (8 papers), Electronic Health Records Systems (5 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Health Informatics (54 citations), Health Information Management (113 citations) and Medical Terminology (3 citations). Mary H Stanfill has collaborated with scholars based in United States, Belgium and Portugal. Frequent co-authors include David T. Marc, Susan H. Fenton, Robert A. Jenders, William Hersh, Margaret Williams, Peter Austin, Vickie M. Mays and Valerie Watzlaf. Their work appears in journals such as Journal of the American Medical Informatics Association, Yearbook of Medical Informatics and Studies in health technology and informatics.
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.