Meredith Nahm

22 papers receiving 450 citations

Peers

Meredith Nahm
Comparison fields: 5 of 95
  • Health Information Management 161
  • Statistics, Probability and Uncertainty 56
  • Information Systems and Management 47
  • Management Science and Operations Research 67
  • Public Health, Environmental and Occupational Health 128
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Citations per year

Countries citing papers authored by Meredith Nahm

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Nahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meredith Nahm, 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 Meredith Nahm Line = papers co-authored together Meredith Nahm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 200883
3 200752
4
The human studies database project: federating human studies design data using the ontology of clinical research.
201028
5 200925
6
The Measurement to Understand Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) Study Community Registry and Biorepository.
201224
7
Development and evaluation of a study design typology for human research.
200912
8
A comprehensive framework for data quality assessment in CER.
201312
9 200811
10 200711
11 201010
12 20098
13
Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies.
20117
14 20107
15 20106
16 20115
17 20125
18
Can prospective usability evaluation predict data errors?
20105
19
Distributed cognition artifacts on clinical research data collection forms.
20105
20
Data Accuracy in Medical Record Abstraction
20103

About Meredith Nahm

Meredith Nahm is a scholar working on Health Information Management, Management Science and Operations Research, Molecular Biology, Statistics, Probability and Uncertainty and General Health Professions, having authored 22 papers that have together received 467 indexed citations. Recurring topics across this work include Electronic Health Records Systems (12 papers), Data Quality and Management (9 papers), Biomedical Text Mining and Ontologies (6 papers), Meta-analysis and systematic reviews (6 papers), Scientific Computing and Data Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Primary Care and Health Outcomes (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Health Information Management (161 citations), Statistics, Probability and Uncertainty (56 citations), Information Systems and Management (47 citations), Management Science and Operations Research (67 citations) and Public Health, Environmental and Occupational Health (128 citations). Meredith Nahm has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carl F. Pieper, Robert M. Califf, W. Ed Hammond, Reesa Laws, Jennifer G. Robinson, Alan Bauck, John F. Dickerson, Gregory E. Simon, Shelley A. Rusincovitch and Denise Cifelli. Their work appears in journals such as Clinical Trials, Journal of the American Medical Informatics Association, Journal of Medical Systems, Journal of Biomedical Informatics and Clinical and Translational Science.

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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