Archana Laxmisan
- Family Practice top 2%
- Health Information Management top 0.5%
- Electronic Health Records Systems 7
- Medical Coding and Health Information 1
- Emergency Medical Services top 2%
- Patient Safety and Medication Errors 4
- Emergency Medicine top 5%
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- Quality and Safety in Healthcare 3
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- Healthcare Systems and Technology 5
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- Biomedical Text Mining and Ontologies 3
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- Healthcare Technology and Patient Monitoring 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- Vimla L. PatelOsman R. SayanJiajie ZhangRobert A. GreenHardeep SinghDean F. SittigDaniel R. MurphyMichael W. Smith
- Journals
- BMJ Quality & Safety (2 papers)Journal of Biomedical Informatics (2 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesBelgium
In The Last Decade
Archana Laxmisan
12 papers receiving 656 citations
Peers
Comparison fields: 5 of 86
- Family Practice 108
- Health Information Management 216
- Emergency Medical Services 168
- Emergency Medicine 149
- Medical Laboratory Technology 19
Countries citing papers authored by Archana Laxmisan
This map shows the geographic impact of Archana Laxmisan'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 Archana Laxmisan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Laxmisan more than expected).
Fields of papers citing papers by Archana Laxmisan
This network shows the impact of papers produced by Archana Laxmisan. 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 Archana Laxmisan. The network helps show where Archana Laxmisan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Archana Laxmisan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 24 | |
| 2 | 2013 | 99 | |
| 3 | 2013 | 16 | |
| 4 | 2012 | 20 | |
| 5 | 2012 | 21 | |
| 6 | 2012 | 36 | |
| 7 | 2012 | 70 | |
| 8 | 2011 | 28 | |
| 9 | A prototype knowledge base and SMART app to facilitate organization of patient medications by clinical problems. | 2011 | 9 |
| 10 | 2006 | 325 | |
| 11 | 2004 | 23 | |
| 12 | 2004 | 14 |
About Archana Laxmisan
Archana Laxmisan is a scholar working on Medical Laboratory Technology, Health Information Management and Issues, ethics and legal aspects, having authored 12 papers that have together received 685 indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (5 papers), Patient Safety and Medication Errors (4 papers), Quality and Safety in Healthcare (3 papers), Biomedical Text Mining and Ontologies (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Medical Coding and Health Information (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Family Practice (108 citations), Health Information Management (216 citations) and Emergency Medical Services (168 citations). Archana Laxmisan has collaborated with scholars based in United States and Belgium. Frequent co-authors include Vimla L. Patel, Osman R. Sayan, Jiajie Zhang, Robert A. Green, Hardeep Singh, Dean F. Sittig, Daniel R. Murphy, Michael W. Smith, Adol Esquivel and Brian Reis. Their work appears in journals such as BMJ Quality & Safety, Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Applied Clinical Informatics and International Journal of Medical 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.