Lynn Baird
- Information Systems top 2%
- Information Systems and Management top 2%
- Management Science and Operations Research top 5%
- Management Information Systems top 10%
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Carol TenopirSuzie AllardRobert J. SanduskyJoshua BoryczBruce W. GrantLisa ChristianRobert OlendorfDanielle Pollock
- Topics
- Research Data Management Practices (5 papers)Data Quality and Management (4 papers)Scientific Computing and Data Management (4 papers)
- Cited by
- Information Systems and ManagementManagement Science and Operations ResearchInformation Systems
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENursing Standard
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Lynn Baird
7 papers receiving 339 citations
Peers
Comparison fields: 5 of 70
- Information Systems 294
- Information Systems and Management 229
- Management Science and Operations Research 182
- Management Information Systems 36
- Statistics, Probability and Uncertainty 35
Countries citing papers authored by Lynn Baird
This map shows the geographic impact of Lynn Baird'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 Lynn Baird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Baird more than expected).
Fields of papers citing papers by Lynn Baird
This network shows the impact of papers produced by Lynn Baird. 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 Lynn Baird. The network helps show where Lynn Baird may publish in the future.
Co-authorship network of co-authors of Lynn Baird
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Baird. A scholar is included among the top collaborators of Lynn Baird 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 Lynn Baird. Lynn Baird is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 161 | |
| 2 | Academic Librarians and Research Data Services: Attitudes and Practices | 8 |
| 3 | 90 | |
| 4 | 21 | |
| 5 | 80 | |
| 6 | 1 | |
| 7 | Change and Connections: Passion and Organizational Change | 1 |
| 8 | 2 |
About Lynn Baird
Lynn Baird is a scholar working on Information Systems and Management, Management Science and Operations Research and Management Information Systems, having authored 8 papers that have together received 364 indexed citations. Recurring topics across this work include Research Data Management Practices (5 papers), Data Quality and Management (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Information Systems and Management (229 citations), Management Science and Operations Research (182 citations) and Information Systems (294 citations). Lynn Baird has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Carol Tenopir, Suzie Allard, Robert J. Sandusky, Joshua Borycz, Bruce W. Grant, Lisa Christian, Robert Olendorf, Danielle Pollock, Mike Frame and Wolfram Horstmann. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nursing Standard.
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.