James M. Shaw
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Dan BonehJacques DreyfussJohn J. RossDA WillardBruce H. MigdalofEric C. SchreiberS. M. SinghviElsa‐Grace V. Giardina
- Topics
- Antibiotics Pharmacokinetics and Efficacy (4 papers)Protein Hydrolysis and Bioactive Peptides (3 papers)Vitamin K Research Studies (3 papers)
- Journals
- IEEE Transactions on Information TheoryAntimicrobial Agents and ChemotherapyJournal of Pharmaceutical Sciences
- Partner nations
- United StatesMalaysiaJapan
In The Last Decade
James M. Shaw
18 papers receiving 801 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 475
- Artificial Intelligence 191
- Information Systems 111
- Molecular Biology 105
- Cardiology and Cardiovascular Medicine 93
Countries citing papers authored by James M. Shaw
This map shows the geographic impact of James M. Shaw'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 M. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Shaw more than expected).
Fields of papers citing papers by James M. Shaw
This network shows the impact of papers produced by James M. Shaw. 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 M. Shaw. The network helps show where James M. Shaw may publish in the future.
Co-authorship network of co-authors of James M. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Shaw. A scholar is included among the top collaborators of James M. Shaw 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 M. Shaw. James M. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Collusion-secure fingerprinting for digital databreakdown → | 555 |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 56 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 21 | |
| 11 | 63 | |
| 12 | 9 | |
| 13 | 57 | |
| 14 | 23 | |
| 15 | 19 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 4 |
About James M. Shaw
James M. Shaw is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Small Animals, having authored 19 papers that have together received 895 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Vitamin K Research Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (475 citations), Signal Processing (81 citations) and Analytical Chemistry (70 citations). James M. Shaw has collaborated with scholars based in United States, Malaysia and Japan. Frequent co-authors include Dan Boneh, Jacques Dreyfuss, John J. Ross, DA Willard, Bruce H. Migdalof, Eric C. Schreiber, S. M. Singhvi, Elsa‐Grace V. Giardina, J. Thomas Bigger and Sampat M. Singhvi. Their work appears in journals such as IEEE Transactions on Information Theory, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.
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.