Bruce R. Schatz
- Artificial Intelligence top 1%
- Information Systems top 1%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Hsinchun ChenRobin R. SewellAndrea L. HoustonRichard B. BerlinTobun D. NgJoshua JuenBrant CheeQian Cheng
- Topics
- Semantic Web and Ontologies (20 papers)Biomedical Text Mining and Ontologies (15 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
Bruce R. Schatz
88 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 905
- Information Systems 712
- Molecular Biology 339
- Computer Vision and Pattern Recognition 327
- Computer Networks and Communications 183
Countries citing papers authored by Bruce R. Schatz
This map shows the geographic impact of Bruce R. Schatz'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 Bruce R. Schatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce R. Schatz more than expected).
Fields of papers citing papers by Bruce R. Schatz
This network shows the impact of papers produced by Bruce R. Schatz. 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 Bruce R. Schatz. The network helps show where Bruce R. Schatz may publish in the future.
Co-authorship network of co-authors of Bruce R. Schatz
This figure shows the co-authorship network connecting the top 25 collaborators of Bruce R. Schatz. A scholar is included among the top collaborators of Bruce R. Schatz 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 Bruce R. Schatz. Bruce R. Schatz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 53 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors. | 10 |
| 6 | 23 | |
| 7 | 60 | |
| 8 | 78 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | Building analysis environments: Beyond the genome and the web | 1 |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | Pattern discovery in gene regulation; designing an analysis environment. | 1 |
| 18 | Interactive retrieval in information spaces distributed across a wide-area network | 4 |
| 19 | 78 | |
| 20 | Telesophy: A System for Manipulating the Knowledge of a Community | 20 |
About Bruce R. Schatz
Bruce R. Schatz is a scholar working on Artificial Intelligence, Aging and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers). The work is most often cited by research in Information Systems (712 citations), Artificial Intelligence (905 citations) and Toxicology (77 citations). Bruce R. Schatz has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Hsinchun Chen, Robin R. Sewell, Andrea L. Houston, Richard B. Berlin, Tobun D. Ng, Joshua Juen, Brant Chee, Qian Cheng, Hsinchun Chen and Jerry A. Krishnan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.