Tim C Clapp

11.7k citations
4 papers · 9.2k · 1 hit paper · h-index 4

Impact in

Papers in

Journals
IEEE Transactions on Signal Processing (1 paper)Cambridge University Engineering Department Publications Database (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)Springer eBooks (1 paper)
Partner nations
United KingdomAustralia

In The Last Decade

Tim C Clapp

4 papers receiving 8.7k citations

Tim C Clapp's Hit Papers

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking 2002 · 9k citations
9k0+8+16Years since publication2.5k5k7.5k

Peers

Tim C Clapp
Comparison fields: 5 of 131
  • Artificial Intelligence 3.5k
  • Computer Vision and Pattern Recognition 1.7k
  • Aerospace Engineering 1.3k
  • Control and Systems Engineering 953
  • Automotive Engineering 350
Replace M. Sanjeev Arulampalam with:
M. Sanjeev Arulampalam Australia
Simon R. Maskell United Kingdom
David J. Salmond United Kingdom
Branko Ristić Australia
Eric A. Wan United States
Fredrik Gustafsson Sweden
Jeffrey K. Uhlmann United States
Neil Gordon Australia
Thomas B. Schön Sweden
Petar M. Djurić United States
Tim C Clapp relative to M. Sanjeev Arulampalam Australia M. Sanjeev Arulampalam's profile →
Citations per field
00.5×1.5×
M. Sanjeev Arulampalam · 1×
Citations per year

Countries citing papers authored by Tim C Clapp

Since Specialization
Citations

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

Fields of papers citing papers by Tim C Clapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim C Clapp. 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 Tim C Clapp. The network helps show where Tim C Clapp may publish in the future.

Co-authors

The 4 scholars most cited alongside Tim C Clapp, 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 Tim C Clapp Line = papers co-authored together Tim C Clapp links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
Hit paper breakdown →
20029044
2 2001103
3 199922
4 19996

About Tim C Clapp

Tim C Clapp is a scholar working on Statistics and Probability, Artificial Intelligence, Electrical and Electronic Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 4 papers that have together received 9.2k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Advanced Wireless Communication Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Vision and Pattern Recognition (1.7k citations), Aerospace Engineering (1.3k citations), Control and Systems Engineering (953 citations) and Automotive Engineering (350 citations). Tim C Clapp has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include M. Sanjeev Arulampalam, Simon R. Maskell, Neil Gordon and Simon Godsill. Their work appears in journals such as IEEE Transactions on Signal Processing, Cambridge University Engineering Department Publications Database, IEEE International Conference on Acoustics Speech and Signal Processing and Springer eBooks.

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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