Marjorie M.K. Hlava
- Statistics, Probability and Uncertainty top 5%
- Information Systems top 10%
- Information Systems and Management top 5%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Co-authors
- Amy BrandMicah AltmanLiz AllenMaja ŽumerMarcia Lei ZengMark NeedlemanAlan R. AronsonMiguel E. Ruiz
- Topics
- Library Science and Information Systems (4 papers)Research Data Management Practices (3 papers)Biomedical Text Mining and Ontologies (3 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementHealth Informatics
- Journals
- NatureInformation Processing & ManagementProceedings of the American Society for Information Science and Technology
- Partner nations
- United StatesSloveniaUnited Kingdom
In The Last Decade
Marjorie M.K. Hlava
20 papers receiving 230 citations
Peers
Comparison fields: 5 of 96
- Statistics, Probability and Uncertainty 89
- Information Systems 72
- Information Systems and Management 72
- Artificial Intelligence 40
- Public Health, Environmental and Occupational Health 29
Countries citing papers authored by Marjorie M.K. Hlava
This map shows the geographic impact of Marjorie M.K. Hlava'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 Marjorie M.K. Hlava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjorie M.K. Hlava more than expected).
Fields of papers citing papers by Marjorie M.K. Hlava
This network shows the impact of papers produced by Marjorie M.K. Hlava. 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 Marjorie M.K. Hlava. The network helps show where Marjorie M.K. Hlava may publish in the future.
Co-authorship network of co-authors of Marjorie M.K. Hlava
This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie M.K. Hlava. A scholar is included among the top collaborators of Marjorie M.K. Hlava 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 Marjorie M.K. Hlava. Marjorie M.K. Hlava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | Inverting the Library Cataloguing Process to Streamline Technical Services and Significantly Increase Discoverability and Search for Special Collections | 0 |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 184 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | ASIS&T thesaurus of information science, technology, and librarianship | 7 |
| 16 | 1 | |
| 17 | Cross Language Retrieval - English/Russian/French | 1 |
| 18 | 3 | |
| 19 | 1 | |
| 20 | CD-ROM vs. Online. | 1 |
About Marjorie M.K. Hlava
Marjorie M.K. Hlava is a scholar working on Information Systems, Human Factors and Ergonomics and Conservation, having authored 27 papers that have together received 254 indexed citations. Recurring topics across this work include Library Science and Information Systems (4 papers), Research Data Management Practices (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (89 citations), Information Systems and Management (72 citations) and Health Informatics (8 citations). Marjorie M.K. Hlava has collaborated with scholars based in United States, Slovenia and United Kingdom. Frequent co-authors include Amy Brand, Micah Altman, Liz Allen, Maja Žumer, Marcia Lei Zeng, Mark Needleman, Alan R. Aronson, Miguel E. Ruiz, Denise Bedford and Gail Hodge. Their work appears in journals such as Nature, Information Processing & Management and Proceedings of the American Society for Information Science and Technology.
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.