Michael Taylor

23 papers receiving 287 citations

Peers

Michael Taylor
Comparison fields: 5 of 67
  • Algebra and Number Theory 57
  • Geometry and Topology 103
  • Mathematical Physics 46
  • Theoretical Computer Science 5
  • Human-Computer Interaction 23
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Min Yan Hong Kong
Zhongxi Zhang China
Shengxin Zhu China
Pingping Zhang China
Yamin Li Japan
Yuji Wakasa Japan
Jiqiang Feng China
Piyush Pratap Singh India
Hung-Wei Chen Taiwan
Nai-Wen Chang Taiwan
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Citations per year

Countries citing papers authored by Michael Taylor

Since Specialization
Citations

This map shows the geographic impact of Michael Taylor'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 Michael Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Taylor more than expected).

Fields of papers citing papers by Michael Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Taylor. 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 Michael Taylor. The network helps show where Michael Taylor may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Taylor Line = papers co-authored together Michael Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200767
2 198165
3 200225
4 202121
5 198820
6 200219
7 200216
8
The Digital Office: Overview
199816
9 202113
10 199912
11 200012
12 199210
13 19786
14 20245
15 20234
16 19954
17 20243
18 20073
19 19893
20 20102

About Michael Taylor

Michael Taylor is a scholar working on Control and Systems Engineering, Geometry and Topology, Algebra and Number Theory, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (7 papers), Polynomial and algebraic computation (4 papers), Building Energy and Comfort Optimization (4 papers), Advanced Control Systems Optimization (3 papers), Robotics and Sensor-Based Localization (3 papers), Commutative Algebra and Its Applications (3 papers), Coding theory and cryptography (3 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Algebra and Number Theory (57 citations), Geometry and Topology (103 citations), Mathematical Physics (46 citations), Theoretical Computer Science (5 citations) and Human-Computer Interaction (23 citations). Michael Taylor has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Andrew Blake, Daniel G. Anderson, Martyn C. Davies, Morgan R. Alexander, Róbert Langer, Andrew J. Urquhart, Alessandra Parisio, Ognjen Marjanović, William M. Newman and S.A. Long. Their work appears in journals such as IEEE Transactions on Energy Conversion, Annals of Mathematics, Mathematische Zeitschrift, IEEE Transactions on Control Systems Technology and Journal für die reine und angewandte Mathematik (Crelles Journal).

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.

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