David A. Eichmann
Impact in
- Health Informatics top 5%
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
Papers in
-
- Web Data Mining and Analysis 8
- Software Engineering Research 7
-
- Topic Modeling 8
- Natural Language Processing Techniques 5
- Co-authors
- Jon Beck (4 shared papers)Padmini Srinivasan (11 shared papers)Charisse Madlock‐Brown (4 shared papers)Miguel E. Ruiz (2 shared papers)W. Nick Street (2 shared papers)Gary D. Boetticher (1 shared paper)Beverly L. Davidson (1 shared paper)Brian M. Gryzlak (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)JAMA Network Open (2 papers)The Journal of Infectious Diseases (1 paper)American Journal of Transplantation (1 paper)Open Forum Infectious Diseases (1 paper)
- Partner nations
- United StatesAustraliaThailand
In The Last Decade
David A. Eichmann
66 papers receiving 1.4k citations
David A. Eichmann's Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 52
- Software 147
- Health Information Management 87
- Information Systems 381
- Infectious Diseases 179
Countries citing papers authored by David A. Eichmann
This map shows the geographic impact of David A. Eichmann'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 David A. Eichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Eichmann more than expected).
Fields of papers citing papers by David A. Eichmann
This network shows the impact of papers produced by David A. Eichmann. 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 David A. Eichmann. The network helps show where David A. Eichmann may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Eichmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment Hit paper breakdown → | 2020 | 398 |
| 2 | Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative Hit paper breakdown → | 2021 | 187 |
| 3 | 1993 | 91 | |
| 4 | 1994 | 78 | |
| 5 | 2014 | 66 | |
| 6 | 1995 | 61 | |
| 7 | 2013 | 56 | |
| 8 | 2010 | 55 | |
| 9 | 2012 | 50 | |
| 10 | 1998 | 48 | |
| 11 | 2022 | 42 | |
| 12 | 2002 | 32 | |
| 13 | 2009 | 31 | |
| 14 | 2011 | 26 | |
| 15 | A neural net-based approach to software metrics | 1992 | 26 |
| 16 | 1994 | 22 | |
| 17 | 2016 | 20 | |
| 18 | 1997 | 17 | |
| 19 | Novelty, Question Answering and Genomics: The University of Iowa Response. | 2004 | 15 |
| 20 | 2011 | 15 |
About David A. Eichmann
David A. Eichmann is a scholar working on Information Systems, Artificial Intelligence, Software, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (8 papers), Topic Modeling (8 papers), Advanced Database Systems and Queries (8 papers), Biomedical Text Mining and Ontologies (8 papers), Software Engineering Research (7 papers), Scientific Computing and Data Management (6 papers), scientometrics and bibliometrics research (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Health Informatics (52 citations), Software (147 citations), Health Information Management (87 citations), Information Systems (381 citations) and Infectious Diseases (179 citations). David A. Eichmann has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Jon Beck, Padmini Srinivasan, Charisse Madlock‐Brown, Miguel E. Ruiz, W. Nick Street, Gary D. Boetticher, Beverly L. Davidson, Brian M. Gryzlak, Juan Pablo Hourcade and Ryan L. Boudreau. Their work appears in journals such as Journal of the American Medical Informatics Association, JAMA Network Open, The Journal of Infectious Diseases, American Journal of Transplantation and Open Forum Infectious Diseases.
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.