Linda Nab
- Statistics and Probability
- Artificial Intelligence
- Infectious Diseases
- Oncology
- Information Systems and Management
- Co-authors
- Rolf H. H. GroenwoldMaarten van SmedenAmanda Kay MontoyaFrederikus A. KlokRuth H. KeoghSuzanne C. CannegieterMarieke J. H. A. KruipKristina Hettne
- Topics
- Statistical Methods and Bayesian Inference (3 papers)Advanced Causal Inference Techniques (3 papers)COVID-19 Clinical Research Studies (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of EpidemiologyJournal of Clinical Epidemiology
- Partner nations
- NetherlandsCanadaUnited Kingdom
In The Last Decade
Linda Nab
7 papers receiving 49 citations
Peers
Comparison fields: 5 of 46
- Statistics and Probability 11
- Artificial Intelligence 7
- Infectious Diseases 6
- Oncology 5
- Information Systems and Management 5
Countries citing papers authored by Linda Nab
This map shows the geographic impact of Linda Nab'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 Linda Nab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Nab more than expected).
Fields of papers citing papers by Linda Nab
This network shows the impact of papers produced by Linda Nab. 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 Linda Nab. The network helps show where Linda Nab may publish in the future.
Co-authorship network of co-authors of Linda Nab
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Nab. A scholar is included among the top collaborators of Linda Nab 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 Linda Nab. Linda Nab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 3 | |
| 7 | 5 |
About Linda Nab
Linda Nab is a scholar working on Statistics and Probability, Information Systems and Management and Internal Medicine, having authored 7 papers that have together received 50 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Statistics and Probability (11 citations), Internal Medicine (3 citations) and Health Informatics (1 citation). Linda Nab has collaborated with scholars based in Netherlands, Canada and United Kingdom. Frequent co-authors include Rolf H. H. Groenwold, Maarten van Smeden, Amanda Kay Montoya, Frederikus A. Klok, Ruth H. Keogh, Suzanne C. Cannegieter, Marieke J. H. A. Kruip, Kristina Hettne, Adolf W. Lohmann and Alex Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Journal of Clinical Epidemiology.
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.