Peter Scott

2.1k total citations
78 papers, 1.4k citations indexed

About

Peter Scott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Peter Scott has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Peter Scott's work include Target Tracking and Data Fusion in Sensor Networks (8 papers), Neural Networks and Applications (7 papers) and Medical Image Segmentation Techniques (6 papers). Peter Scott is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (8 papers), Neural Networks and Applications (7 papers) and Medical Image Segmentation Techniques (6 papers). Peter Scott collaborates with scholars based in United States, United Kingdom and China. Peter Scott's 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 and has published in prestigious journals such as Nature, IEEE Transactions on Automatic Control and Clinical Infectious Diseases.

In The Last Decade

Peter Scott

69 papers receiving 1.3k citations

Peers

Peter Scott
Comparison fields: 5 of 168
  • Artificial Intelligence 452
  • Mechanical Engineering 198
  • Computer Networks and Communications 154
  • Aerospace Engineering 142
  • Control and Systems Engineering 125
Replace Min Jiang with:
Min Jiang China
Zhiwen Zhang China
Andreas Weber⋆ Germany
Thomas P. Caudell United States
Mohammad Reza Bonyadi Australia
William A. Sethares United States
Tom Young Singapore
Stanley C. Ahalt United States
Anderson Rocha Brazil
Min Jiang China View profile →
Citations per field, relative to Peter Scott
Peter Scott · 1×
Citations per year, relative to Peter Scott
Peter Scott · 1×

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-authorship network of co-authors of Peter Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Scott. A scholar is included among the top collaborators of Peter Scott 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 Peter Scott. Peter Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 3
3 1
4 4
5
A Decision-Centric Framework for Density Forecasting.
1
6 8
7 3
8
A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem
13
9 21
10 110
11 0
12
A framework for media-streaming over packet-switched networks
0
13 16
14
Zeta: a global method for discretization of continuous variables
43
15 122
16
Why generalize?: Hybrid representations and instance-based learning
2
17
A formal analysis of machine learning systems for knowledge acquisition
3
18 4
19
FORT WORTH'S PRIVATELY OWNED SUBWAY SYSTEM
1
20 8

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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