Thomas C. Redman
Impact in
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- Data Quality and Management
- Management Information Systems top 0.5%
- Big Data and Business Intelligence
- Information Technology Governance and Strategy
Papers in
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- Data Quality and Management 12
-
- Big Data and Business Intelligence 8
- Co-authors
- A. Blanton Godfrey (1 shared paper)Anany Levitin (3 shared papers)Chris Fox (1 shared paper)Thomas M. Margavio (1 shared paper)Alan R. Zinsmeister (2 shared papers)Ron S. Kenett (1 shared paper)Divesh Srivastava (1 shared paper)Monica Scannapieco (1 shared paper)
- Journals
- Quality Engineering (2 papers)Journal of Data and Information Quality (2 papers)Information Processing & Management (2 papers)Communications of the ACM (1 paper)Journal of the Association for Information Systems (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Thomas C. Redman
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 1.1k
- Management Information Systems 766
- Information Systems 536
- Information Systems and Management 135
- Health Information Management 52
Countries citing papers authored by Thomas C. Redman
This map shows the geographic impact of Thomas C. Redman'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 Thomas C. Redman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Redman more than expected).
Fields of papers citing papers by Thomas C. Redman
This network shows the impact of papers produced by Thomas C. Redman. 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 Thomas C. Redman. The network helps show where Thomas C. Redman may publish in the future.
Co-authors
The 21 scholars most cited alongside Thomas C. Redman, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 438 | |
| 2 | Data Quality For The Information Age | 1997 | 404 |
| 3 | 1994 | 174 | |
| 4 | Data Quality: The Field Guide | 2001 | 169 |
| 5 | Improve Data Quality for Competitive Advantage | 1995 | 118 |
| 6 | 1994 | 108 | |
| 7 | 2009 | 67 | |
| 8 | 1993 | 24 | |
| 9 | 1995 | 20 | |
| 10 | 1987 | 17 | |
| 11 | 2019 | 15 | |
| 12 | 1980 | 14 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 4 | |
| 15 | Electrophoretic gel image analysis software for the molecular biology laboratory. | 1991 | 4 |
| 16 | 2014 | 3 | |
| 17 | 1982 | 3 | |
| 18 | Data Quality: Should Universities Worry?. | 2004 | 2 |
| 19 | 1984 | 2 | |
| 20 | Genetic wrappers for constructive induction in high-performance data mining | 2000 | 2 |
About Thomas C. Redman
Thomas C. Redman is a scholar working on Management Science and Operations Research, Management Information Systems, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Quality and Management (12 papers), Big Data and Business Intelligence (8 papers), Data Mining Algorithms and Applications (3 papers), Advanced Database Systems and Queries (3 papers), Power Line Communications and Noise (2 papers), Cognitive Science and Mapping (2 papers), Air Quality and Health Impacts (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Management Information Systems (766 citations), Information Systems (536 citations), Information Systems and Management (135 citations) and Health Information Management (52 citations). Thomas C. Redman has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include A. Blanton Godfrey, Anany Levitin, Chris Fox, Thomas M. Margavio, Alan R. Zinsmeister, Ron S. Kenett, Divesh Srivastava, Monica Scannapieco, Roger W. Hoerl and Michael Welge. Their work appears in journals such as Quality Engineering, Journal of Data and Information Quality, Information Processing & Management, Communications of the ACM and Journal of the Association for Information Systems.
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.