Nira Herrmann
- Computer Science Applications top 2%
- Pulmonary and Respiratory Medicine
- Pediatrics, Perinatology and Child Health
- Public Health, Environmental and Occupational Health
- Parasitology top 10%
- Co-authors
- Rebecca L. CraikSusan BarkerWilliam FreedmanHoward J. HillstromBruce W. CharLinda M. DomanskiPeter M. SchantzLawrence T. Glickman
- Topics
- Teaching and Learning Programming (10 papers)Statistical Methods in Clinical Trials (5 papers)Distributed and Parallel Computing Systems (4 papers)
- Cited by
- Computer Science ApplicationsParasitologyPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Nira Herrmann
34 papers receiving 610 citations
Peers
Comparison fields: 5 of 114
- Computer Science Applications 126
- Pulmonary and Respiratory Medicine 75
- Pediatrics, Perinatology and Child Health 73
- Public Health, Environmental and Occupational Health 65
- Parasitology 63
Countries citing papers authored by Nira Herrmann
This map shows the geographic impact of Nira Herrmann'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 Nira Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nira Herrmann more than expected).
Fields of papers citing papers by Nira Herrmann
This network shows the impact of papers produced by Nira Herrmann. 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 Nira Herrmann. The network helps show where Nira Herrmann may publish in the future.
Co-authorship network of co-authors of Nira Herrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Nira Herrmann. A scholar is included among the top collaborators of Nira Herrmann 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 Nira Herrmann. Nira Herrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 36 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 119 | |
| 15 | 20 | |
| 16 | 69 | |
| 17 | 94 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 18 |
About Nira Herrmann
Nira Herrmann is a scholar working on Computer Science Applications, Statistics and Probability and Medical Laboratory Technology, having authored 38 papers that have together received 665 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Statistical Methods in Clinical Trials (5 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Computer Science Applications (126 citations), Parasitology (63 citations) and Physical Therapy, Sports Therapy and Rehabilitation (41 citations). Nira Herrmann has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Rebecca L. Craik, Susan Barker, William Freedman, Howard J. Hillstrom, Bruce W. Char, Linda M. Domanski, Peter M. Schantz, Lawrence T. Glickman, Charles J. Mode and David B. Schaffer. Their work appears in journals such as PEDIATRICS, American Journal of Epidemiology and International Journal of Cancer.
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.