Miland Palmer
- General Health Professions top 10%
- Epidemiology
- Emergency Medicine
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Adi V. GundlapalliAndrew ReddMatthew H. SamoreMarjorie E. CarterShuying ShenGuy DivitaJamison D. FargoRachel K. Peterson
- Topics
- Homelessness and Social Issues (5 papers)Biomedical Text Mining and Ontologies (3 papers)Topic Modeling (3 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Miland Palmer
13 papers receiving 241 citations
Peers
Comparison fields: 5 of 63
- General Health Professions 126
- Epidemiology 58
- Emergency Medicine 46
- Molecular Biology 38
- Artificial Intelligence 37
Countries citing papers authored by Miland Palmer
This map shows the geographic impact of Miland Palmer'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 Miland Palmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miland Palmer more than expected).
Fields of papers citing papers by Miland Palmer
This network shows the impact of papers produced by Miland Palmer. 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 Miland Palmer. The network helps show where Miland Palmer may publish in the future.
Co-authorship network of co-authors of Miland Palmer
This figure shows the co-authorship network connecting the top 25 collaborators of Miland Palmer. A scholar is included among the top collaborators of Miland Palmer 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 Miland Palmer. Miland Palmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Building Best Practices for Telehealth Record Documentation in the COVID-19 Pandemic. | 1 |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 81 | |
| 5 | 14 | |
| 6 | Exploring patterns in resource utilization prior to the formal identification of homelessness in recently returned veterans. | 3 |
| 7 | 8 | |
| 8 | Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records. | 17 |
| 9 | 10 | |
| 10 | 22 | |
| 11 | 18 | |
| 12 | Using natural language processing on the free text of clinical documents to screen for evidence of homelessness among US veterans. | 45 |
| 13 | 3 | |
| 14 | "Sitting on pins and needles": characterization of symptom descriptions in clinical notes". | 19 |
About Miland Palmer
Miland Palmer is a scholar working on Health Information Management, General Health Professions and Health, having authored 14 papers that have together received 246 indexed citations. Recurring topics across this work include Homelessness and Social Issues (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Information Management (27 citations), General Health Professions (126 citations) and Emergency Medicine (46 citations). Miland Palmer has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Adi V. Gundlapalli, Andrew Redd, Matthew H. Samore, Marjorie E. Carter, Shuying Shen, Guy Divita, Jamison D. Fargo, Rachel K. Peterson, Stephen Metraux and Brett R. South. Their work appears in journals such as PLoS ONE, Medical Care and Journal of the American Medical Informatics Association.
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.