David Eichmann

43 papers receiving 623 citations

Peers

David Eichmann
Comparison fields: 5 of 97
  • Software 141
  • Health Informatics 41
  • Information Systems 328
  • Health Information Management 44
  • Safety Research 61
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Citations per year

Countries citing papers authored by David Eichmann

Since Specialization
Citations

This map shows the geographic impact of David 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 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 Eichmann more than expected).

Fields of papers citing papers by David Eichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199391
2 199472
3 201466
4 201350
5 199549
6 201246
7 199845
8 201044
9 200230
10
A neural net-based approach to software metrics
199222
11 201120
12 199419
13 201617
14
Novelty, Question Answering and Genomics: The University of Iowa Response.
200414
15 199713
16 200611
17
Novel Results and Some Answers - The University of Iowa TREC 11 Results.
200210
18 201810
19 20099
20
A cluster-based approach to tracking, detection and segmentation of broadcast news
19997

About David Eichmann

David Eichmann is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Information Systems and Management, having authored 48 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (7 papers), Web Data Mining and Analysis (7 papers), Software Engineering Research (6 papers), scientometrics and bibliometrics research (5 papers), Natural Language Processing Techniques (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Software (141 citations), Health Informatics (41 citations), Information Systems (328 citations), Health Information Management (44 citations) and Safety Research (61 citations). David Eichmann has collaborated with scholars based in United States. Frequent co-authors include Jon Beck, Padmini Srinivasan, Charisse Madlock‐Brown, Miguel E. Ruiz, W. Nick Street, Ryan L. Boudreau, Beverly L. Davidson, Gary D. Boetticher, Ryan M. Spengler and Heather Davis. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Human-Computer Interaction, CIN Computers Informatics Nursing, Journal of the Association for Information Science and Technology and Science and Engineering Ethics.

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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