Elizabeth M. Pierce

30 papers receiving 408 citations

Peers

Elizabeth M. Pierce
Comparison fields: 5 of 98
  • Pulmonary and Respiratory Medicine 150
  • Immunology 71
  • Management Science and Operations Research 71
  • Oncology 62
  • Epidemiology 59
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Robert P. Sanders United States
Christine König Germany
Taeyoung Kang South Korea
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Elizabeth M. Pierce relative to Robert P. Sanders United States Robert P. Sanders's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Elizabeth M. Pierce

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth M. Pierce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth M. Pierce. 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 Elizabeth M. Pierce. The network helps show where Elizabeth M. Pierce may publish in the future.

Co-authorship network of co-authors of Elizabeth M. Pierce

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth M. Pierce. A scholar is included among the top collaborators of Elizabeth M. Pierce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth M. Pierce. Elizabeth M. Pierce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 3
5 45
6 13
7 17
8
A method for entity identification in open source documents with partially redacted attributes
4
9
A Curriculum for a Master of Science in Information Quality
6
10
Entity Identification Using Indexed Entity Catalogs.
3
11 75
12
An Information Theoretic Approach to Information Quality Metric.
1
13 32
14
Developing, Implementing and Monitoring an Information Product Quality Strategy.
4
15
Panel: IQ Research Directions.
1
16
Pursuing a Career in Information Quality: the Job of the Data Quality Analyst.
1
17
IP-UML: Towards a Methodology for Quality Improvement Based on the IP-MAP Framework.
18
18
Extending IP-MAPS: Incorporating the Event-Driven Process Chain Methodology.
0
19
Lessons Learned from Piloting a Computer Literacy Test for Placement and Remedial Decisions
7
20
Using Control Matrices to Evaluate Information Production Maps.
1

About Elizabeth M. Pierce

Elizabeth M. Pierce is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems, having authored 34 papers that have together received 437 indexed citations. Recurring topics across this work include Data Quality and Management (11 papers), Big Data and Business Intelligence (8 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Management Science and Operations Research (71 citations), Management Information Systems (48 citations) and Pulmonary and Respiratory Medicine (150 citations). Elizabeth M. Pierce has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Claudia Jakubzick, Kristin J. Carpenter, Cory M. Hogaboam, Kevin R. Flaherty, Fernando J. Martínez, Steven L. Kunkel, Holly Evanoff, Galen B. Toews, Juliette Thompson and Peter F. Wright. Their work appears in journals such as Communications of the ACM, American Journal Of Pathology and Frontiers in Immunology.

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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