James R. Green
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Biomedical Engineering top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Adrian D. C. ChanNasser GhadiriMaryam Lotfi ShahrezaJaleh VarshosazAshkan GolshaniKevin DickFrank DehneSylvain Pitre
- Topics
- Non-Invasive Vital Sign Monitoring (25 papers)Bioinformatics and Genomic Networks (21 papers)Machine Learning in Bioinformatics (17 papers)
- Journals
- NatureNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesCuba
In The Last Decade
James R. Green
159 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 837
- Computational Theory and Mathematics 348
- Biomedical Engineering 316
- Pediatrics, Perinatology and Child Health 161
- Cognitive Neuroscience 150
Countries citing papers authored by James R. Green
This map shows the geographic impact of James R. Green'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 James R. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Green more than expected).
Fields of papers citing papers by James R. Green
This network shows the impact of papers produced by James R. Green. 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 James R. Green. The network helps show where James R. Green may publish in the future.
Co-authorship network of co-authors of James R. Green
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Green. A scholar is included among the top collaborators of James R. Green 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 James R. Green. James R. Green 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 52 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | Investigating Vibration Levels in a Neonatal Transport System | 4 |
| 17 | 9 | |
| 18 | 19 | |
| 19 | Ontology driven temporal event annotator mHealth application framework. | 5 |
| 20 | 56 |
About James R. Green
James R. Green is a scholar working on Computational Mathematics, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 171 papers that have together received 2.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (25 papers), Bioinformatics and Genomic Networks (21 papers) and Machine Learning in Bioinformatics (17 papers). The work is most often cited by research in Computational Theory and Mathematics (348 citations), Obstetrics and Gynecology (147 citations) and Microbiology (87 citations). James R. Green has collaborated with scholars based in Canada, United States and Cuba. Frequent co-authors include Adrian D. C. Chan, Nasser Ghadiri, Maryam Lotfi Shahreza, Jaleh Varshosaz, Ashkan Golshani, Kevin Dick, Frank Dehne, Sylvain Pitre, Dawn MacIsaac and Yasser B. Ruiz‐Blanco. Their work appears in journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.