Rachel Richesson

2.7k citations
92 papers · 1.6k indexed · h-index 22

Rachel Richesson

83 papers receiving 1.5k citations

Peers

Rachel Richesson
Comparison fields: 5 of 130
  • Health Information Management 377
  • Issues, ethics and legal aspects 57
  • Health Informatics 43
  • Computational Mathematics 12
  • Artificial Intelligence 382
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Citations per year

Countries citing papers authored by Rachel Richesson

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Richesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rachel Richesson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rachel Richesson Line = papers co-authored together Rachel Richesson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20220
4 20222
5 202116
6 20201
7 20183
8 201635
9 201438
10 201223
11
Advancing Secondary Data Uses through Data Standards: HL7 Project Advances the “Collect Once, Use Many Times” Paradigm
20111
12
The question about questions: is DC a good choice to address the challenges of representation of clinical research questions and value sets?
20100
13 201068
14 20083
15
Essential SNOMED: Simplifying SNOMED-CT and supporting Integration with Health Information Models.
20082
16 200823
17
Standard terminology on demand: facilitating distributed and real-time use of SNOMED CT during the clinical research process.
20063
18
The Semantic Web and the Integration of Health Data Resources
20020
19 200020
20
The Use of Bayesian Networks and Decision Analysis in Solving Clinical Decisions for the Administration of Antiretroviral Agents to Prevent HIV Seroconversion Following an Occupational Percutaneous Exposure.
19991

About Rachel Richesson

Rachel Richesson is a scholar working on Health Information Management, Issues, ethics and legal aspects and Health Informatics, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (36 papers), Electronic Health Records Systems (23 papers), Genomics and Rare Diseases (12 papers), Scientific Computing and Data Management (10 papers), Clinical practice guidelines implementation (9 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (9 papers) and Chronic Disease Management Strategies (7 papers). The work is most often cited by research in Health Information Management (377 citations), Issues, ethics and legal aspects (57 citations) and Health Informatics (43 citations). Rachel Richesson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey P. Krischer, James E. Andrews, Kendra Vehik, Ida Sim, Samson W. Tu, Chunhua Weng, Shelley A. Rusincovitch, Michelle Smerek, W. Ed Hammond and Prakash M. Nadkarni. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Physical Therapy.

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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