Peter Scott

2.1k citations
87 papers · 1.6k · h-index 20

Impact in

Papers in

Peter Scott

77 papers receiving 1.5k citations

Peers

Peter Scott
Comparison fields: 5 of 171
  • Statistics, Probability and Uncertainty 119
  • Artificial Intelligence 512
  • Experimental and Cognitive Psychology 140
  • Architecture 14
  • Statistical and Nonlinear Physics 100
Replace Thomas P. Caudell with:
Thomas P. Caudell United States
Michael Georgiopoulos United States
Alex M. Andrew United Kingdom
Georgios Evangelidis Greece
Moshe Kam United States
James P. Egan United States
Fu Jie Huang United States
David Powers Australia
Tobias Isenberg France
Xiao Wei China
Peter Scott relative to Thomas P. Caudell United States Thomas P. Caudell's profile →
Citations per field
00.5×9.2×
Thomas P. Caudell · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008163
2 1997134
3 2011133
4 1994125
5 2007112
6 1995102
7 197786
8 200664
9 201358
10
Zeta: a global method for discretization of continuous variables
199752
11 201139
12 199930
13 201728
14 200325
15 201023
16 200822
17 198820
18 200620
19 200720
20 200119

About Peter Scott

Peter Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Neural Networks and Applications (8 papers), Data Mining Algorithms and Applications (6 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) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (119 citations), Artificial Intelligence (512 citations), Experimental and Cognitive Psychology (140 citations), Architecture (14 citations) and Statistical and Nonlinear Physics (100 citations). Peter Scott has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Tarunraj Singh, Puneet Singla, Peter Lloyd, Gabriel Terejanu, S. Susan Young, Nasser M. Nasrabadi, S. Miller, Bryan Lawson, Kai‐Ming Ho and Guan Gui. Their work appears in journals such as Journal of Theoretical Biology, Computers in Biology and Medicine, Journal of Guidance Control and Dynamics, IEEE Transactions on Image Processing and Design Studies.

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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