Timothy Masters
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Environmental Engineering top 5%
- Hydrological Forecasting Using AI
Papers in
-
- AI in cancer detection 10
- Neural Networks and Applications 6
- Machine Learning and Algorithms 3
-
- Gene expression and cancer classification 8
- Co-authors
- Norman R. Swanson (1 shared paper)W. Land (2 shared papers)Walker H. Land (10 shared papers)Joseph Y. Lo (6 shared papers)M.F. Tenorio (1 shared paper)S. Maniccam (1 shared paper)Daniel McKee (2 shared papers)John Heine (1 shared paper)
- Journals
- Remote Sensing Reviews (1 paper)Journal of the American Statistical Association (1 paper)International Journal of Forecasting (1 paper)Medical Entomology and Zoology (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)
- Partner nations
- United States
In The Last Decade
Timothy Masters
21 papers receiving 1.8k citations
Timothy Masters's Hit Papers
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 670
- Environmental Engineering 242
- Management Science and Operations Research 163
- Safety, Risk, Reliability and Quality 106
- Signal Processing 123
Countries citing papers authored by Timothy Masters
This map shows the geographic impact of Timothy Masters'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 Timothy Masters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Masters more than expected).
Fields of papers citing papers by Timothy Masters
This network shows the impact of papers produced by Timothy Masters. 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 Timothy Masters. The network helps show where Timothy Masters may publish in the future.
Co-authors
The 11 scholars most cited alongside Timothy Masters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Practical neural network recipes in C Hit paper breakdown → | 1993 | 1280 |
| 2 | Advanced algorithms for neural networks: a C++ sourcebook | 1995 | 243 |
| 3 | 1995 | 160 | |
| 4 | 1999 | 111 | |
| 5 | 2002 | 53 | |
| 6 | Signal and Image Processing with Neural Networks: A C++ Sourcebook | 1994 | 40 |
| 7 | 1992 | 22 | |
| 8 | 2002 | 15 | |
| 9 | 2002 | 13 | |
| 10 | 2004 | 10 | |
| 11 | 2002 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2002 | 6 | |
| 14 | 2001 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2004 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 1998 | 2 | |
| 20 | 2000 | 1 |
About Timothy Masters
Timothy Masters is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Gene expression and cancer classification (8 papers), Neural Networks and Applications (6 papers), Machine Learning and Algorithms (3 papers), Image Retrieval and Classification Techniques (2 papers), Digital Imaging for Blood Diseases (1 paper), Time Series Analysis and Forecasting (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Artificial Intelligence (670 citations), Environmental Engineering (242 citations), Management Science and Operations Research (163 citations), Safety, Risk, Reliability and Quality (106 citations) and Signal Processing (123 citations). Timothy Masters has collaborated with scholars based in United States. Frequent co-authors include Norman R. Swanson, W. Land, Walker H. Land, Joseph Y. Lo, M.F. Tenorio, S. Maniccam, Daniel McKee, John Heine, Erin Barnes and Xingye Qiao. Their work appears in journals such as Remote Sensing Reviews, Journal of the American Statistical Association, International Journal of Forecasting, Medical Entomology and Zoology and CERN Document Server (European Organization for Nuclear 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.