Lisa Matthias
- Statistics, Probability and Uncertainty top 1%
- Information Systems and Management top 5%
- Information Systems top 10%
- Public Health, Environmental and Occupational Health
- General Health Professions
- Co-authors
- Juan Pablo AlperínMeredith T. NilesLesley A. SchimanskiCarol Muñoz NievesErin C. McKiernanNajko JahnMikael LaaksoStefanie Haustein
- Topics
- scientometrics and bibliometrics research (8 papers)Research Data Management Practices (5 papers)Academic Publishing and Open Access (5 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementHealth Informatics
In The Last Decade
Lisa Matthias
13 papers receiving 346 citations
Peers
Comparison fields: 5 of 93
- Statistics, Probability and Uncertainty 203
- Information Systems and Management 123
- Information Systems 86
- Public Health, Environmental and Occupational Health 41
- General Health Professions 29
Countries citing papers authored by Lisa Matthias
This map shows the geographic impact of Lisa Matthias'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 Lisa Matthias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Matthias more than expected).
Fields of papers citing papers by Lisa Matthias
This network shows the impact of papers produced by Lisa Matthias. 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 Lisa Matthias. The network helps show where Lisa Matthias may publish in the future.
Co-authorship network of co-authors of Lisa Matthias
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Matthias. A scholar is included among the top collaborators of Lisa Matthias 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 Lisa Matthias. Lisa Matthias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 44 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 15 | |
| 7 | 50 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 189 | |
| 11 | What Collaboration Means to Us: We are more powerful when we work together as a community to solve problems | 2 |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 11 |
About Lisa Matthias
Lisa Matthias is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Information Systems, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (8 papers), Research Data Management Practices (5 papers) and Academic Publishing and Open Access (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (203 citations), Information Systems and Management (123 citations) and Health Informatics (7 citations). Lisa Matthias has collaborated with scholars based in Germany, Canada and Finland. Frequent co-authors include Juan Pablo Alperín, Meredith T. Niles, Lesley A. Schimanski, Carol Muñoz Nieves, Erin C. McKiernan, Najko Jahn, Mikael Laakso, Stefanie Haustein, Marc‐André Simard and Philippe Mongeon. Their work appears in journals such as eLife, Journal of the Association for Information Science and Technology and Frontiers in Communication.
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.