Peter Rockett

2.3k citations
78 papers · 1.6k · h-index 22

Impact in

Papers in

Peter Rockett

76 papers receiving 1.5k citations

Peers

Peter Rockett
Comparison fields: 5 of 140
  • Computer Vision and Pattern Recognition 526
  • Artificial Intelligence 487
  • Aerospace Engineering 262
  • Computational Theory and Mathematics 148
  • Media Technology 64
Replace Jingjing Wu with:
Jingjing Wu China
Juha Plosila Finland
Hui Zhao China
Maria Gabriella Xibilia Italy
B.S. Sohi India
Qi Chu China
Feng Lin China
Reza Ghaderi Iran
Xinghua Qu China
Terrance L. Huntsberger United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Rockett

Since Specialization
Citations

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

Fields of papers citing papers by Peter Rockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Rockett, 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 Rockett Line = papers co-authored together Peter Rockett 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
The Bhattacharyya Metric as an Absolute Similarity Measure for Frequency Coded Data.
1998247
2 2014119
3 201295
4 200284
5 201069
6 201259
7 201657
8 200548
9 200545
10 200939
11 201738
12 200337
13 201732
14 201232
15 200631
16 200231
17 201229
18 199828
19 201028
20 201427

About Peter Rockett

Peter Rockett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Semiconductor Quantum Structures and Devices (10 papers), Semiconductor materials and devices (9 papers), Neural Networks and Applications (8 papers), Semiconductor materials and interfaces (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (526 citations), Artificial Intelligence (487 citations), Aerospace Engineering (262 citations), Computational Theory and Mathematics (148 citations) and Media Technology (64 citations). Peter Rockett has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include Neil A. Thacker, Peter Lee, Ling Shao, Rajeev Kumar, Li Liu, A.B. Phillion, Elizabeth Abigail Hathway, Yang Zhang, Chedtha Puncreobutr and Andrew P. Horsfield. Their work appears in journals such as Genetic Programming and Evolvable Machines, Applied Physics Letters, Electronics Letters, Journal of Applied Physics and Acta Materialia.

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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