Peter Scott

2.1k citations
78 papers · 1.4k · h-index 19

Impact in

Papers in

Peter Scott

69 papers receiving 1.3k citations

Peers

Peter Scott
Comparison fields: 5 of 166
  • Statistics, Probability and Uncertainty 112
  • Artificial Intelligence 452
  • Experimental and Cognitive Psychology 120
  • Statistical and Nonlinear Physics 99
  • Architecture 12
Replace Michael Georgiopoulos with:
Michael Georgiopoulos United States
Fu Jie Huang United States
Georgios Evangelidis Greece
David Powers Australia
Moshe Kam United States
P. Eykhoff Netherlands
Tom Young Singapore
Yun Fu United States
Janaki Balakrishnan United States
Zhiming Zheng China
Peter Scott relative to Michael Georgiopoulos United States Michael Georgiopoulos's profile →
Citations per field
00.5×4.9×
Michael Georgiopoulos · 1×
Citations per year

Countries citing papers authored by Peter Scott

Since Specialization
Citations

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

Fields of papers citing papers by Peter Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Scott, 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 Peter Scott Line = papers co-authored together Peter Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 2011131
3 1997123
4 2007110
5 1994104
6 199591
7 197771
8 200655
9 201354
10
Zeta: a global method for discretization of continuous variables
199743
11 201134
12 201728
13 199924
14 201023
15 200822
16 200321
17 198820
18 197919
19 200118
20 200718

About Peter Scott

Peter Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Neural Networks and Applications (7 papers), Medical Image Segmentation Techniques (5 papers), Meteorological Phenomena and Simulations (5 papers), Probabilistic and Robust Engineering Design (4 papers), Fault Detection and Control Systems (4 papers), Advanced Image Fusion Techniques (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (112 citations), Artificial Intelligence (452 citations), Experimental and Cognitive Psychology (120 citations), Statistical and Nonlinear Physics (99 citations) and Architecture (12 citations). Peter Scott has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Tarunraj Singh, Puneet Singla, Gabriel Terejanu, Peter Lloyd, S. Susan Young, Nasser M. Nasrabadi, S. Miller, Bryan Lawson, Guan Gui and Kai‐Ming Ho. Their work appears in journals such as Journal of Guidance Control and Dynamics, Design Studies, Journal of Theoretical Biology, IEEE Transactions on Image Processing and Computers in Biology and Medicine.

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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