Taylor L. Booth
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- King‐Sun FuRichard A. ThompsonReda A. AmmarJohn R. WhiteY.P. ChienRobert LenkRaymond E. MillerJuliana Early
- Topics
- semigroups and automata theory (5 papers)Algorithms and Data Compression (5 papers)Machine Learning and Algorithms (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEECommunications of the ACM
- Partner nations
- United States
In The Last Decade
Taylor L. Booth
27 papers receiving 742 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 554
- Computational Theory and Mathematics 241
- Computer Networks and Communications 132
- Information Systems 83
- Molecular Biology 76
Countries citing papers authored by Taylor L. Booth
This map shows the geographic impact of Taylor L. Booth'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 Taylor L. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor L. Booth more than expected).
Fields of papers citing papers by Taylor L. Booth
This network shows the impact of papers produced by Taylor L. Booth. 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 Taylor L. Booth. The network helps show where Taylor L. Booth may publish in the future.
Co-authorship network of co-authors of Taylor L. Booth
This figure shows the co-authorship network connecting the top 25 collaborators of Taylor L. Booth. A scholar is included among the top collaborators of Taylor L. Booth 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 Taylor L. Booth. Taylor L. Booth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | Computing Sciences Accreditation at the Age of One. | 1 |
| 4 | 6 | |
| 5 | 35 | |
| 6 | Introduction to Computer Engineering: Hardware and Software Design | 7 |
| 7 | 2 | |
| 8 | 10 | |
| 9 | Performance Modelling of Distributed Systems Using Probabilistic Computation Structures | 1 |
| 10 | 8 | |
| 11 | 46 | |
| 12 | 170 | |
| 13 | Design of Minimal Expected Processing Time Finite-State Transducers. | 6 |
| 14 | Computing: fundamentals and applications | 8 |
| 15 | 140 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 59 | |
| 19 | 4 | |
| 20 | 2 |
About Taylor L. Booth
Taylor L. Booth is a scholar working on Architecture, Software and Artificial Intelligence, having authored 28 papers that have together received 840 indexed citations. Recurring topics across this work include semigroups and automata theory (5 papers), Algorithms and Data Compression (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Software (66 citations), Artificial Intelligence (554 citations) and Computational Theory and Mathematics (241 citations). Taylor L. Booth has collaborated with scholars based in United States. Frequent co-authors include King‐Sun Fu, Richard A. Thompson, Reda A. Ammar, John R. White, Y.P. Chien, Robert Lenk, Raymond E. Miller and Juliana Early. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Communications of the ACM.
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.