David Salmond

9.4k total citations · 1 hit paper
38 papers, 6.6k citations indexed

About

David Salmond is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, David Salmond has authored 38 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 14 papers in Aerospace Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in David Salmond's work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Infrared Target Detection Methodologies (7 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). David Salmond is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (34 papers), Infrared Target Detection Methodologies (7 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). David Salmond collaborates with scholars based in United Kingdom, United States and Australia. David Salmond's co-authors include Neil Gordon, A. F. M. Smith, Kevin Gilholm, Simon Maskell, Simon Godsill, David J. Fisher, D.P. Atherton, J. A. Bather, Branko Ristić and M.V. Clark and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Guidance Control and Dynamics and Image and Vision Computing.

In The Last Decade

David Salmond

37 papers receiving 6.1k citations

Hit Papers

Novel approach to nonlinear/non-Gaussian Bayesian state e... 1993 2026 2004 2015 1993 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    1993 5.1k citations Neil Gordon, David Salmond et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Salmond United Kingdom 16 4.3k 1.6k 1.2k 936 906 38 6.6k
Rudolph van der Merwe United States 14 3.5k 0.8× 2.4k 1.6× 1.7k 1.4× 1.3k 1.3× 685 0.8× 17 6.4k
Eric A. Wan United States 26 3.6k 0.8× 2.4k 1.5× 1.8k 1.5× 1.5k 1.6× 844 0.9× 59 7.0k
Thiagalingam Kirubarajan Canada 22 4.3k 1.0× 2.8k 1.8× 1.3k 1.1× 1.4k 1.5× 780 0.9× 107 6.6k
Simon Godsill United Kingdom 36 5.1k 1.2× 1.3k 0.8× 1.3k 1.1× 995 1.1× 1.6k 1.7× 294 9.0k
Samuel S. Blackman United States 14 3.9k 0.9× 2.0k 1.3× 767 0.6× 750 0.8× 718 0.8× 48 5.1k
M.S. Arulampalam Australia 7 5.0k 1.2× 2.4k 1.5× 1.9k 1.5× 2.0k 2.1× 1.9k 2.1× 14 9.0k
Yonggang Zhang China 39 4.0k 0.9× 2.1k 1.3× 1.4k 1.2× 1.1k 1.2× 411 0.5× 300 6.3k
T. Kirubarajan Canada 40 4.4k 1.0× 3.0k 1.9× 1.2k 1.0× 1.2k 1.3× 588 0.6× 231 6.4k
Ronald Mahler United States 28 6.7k 1.6× 2.3k 1.5× 914 0.7× 901 1.0× 655 0.7× 157 7.5k
Branko Ristić Australia 43 5.8k 1.3× 2.9k 1.8× 1.4k 1.2× 1.6k 1.7× 1.0k 1.1× 244 8.9k

Countries citing papers authored by David Salmond

Since Specialization
Citations

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

Fields of papers citing papers by David Salmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Salmond

This figure shows the co-authorship network connecting the top 25 collaborators of David Salmond. A scholar is included among the top collaborators of David Salmond 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 David Salmond. David Salmond 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
1.
Salmond, David. (2013). Tracking and guidance with intermittent obscuration and association uncertainty. International Conference on Information Fusion. 691–698. 7 indexed citations
2.
Salmond, David, M.V. Clark, Richard Vinter, & Simon Godsill. (2007). Ground target modelling, tracking and prediction with road networks. 5204. 1–8. 12 indexed citations
3.
Salmond, David, et al.. (2006). Maintaining track identity for a fragmenting target. 27–34. 1 indexed citations
4.
Gilholm, Kevin, Simon Godsill, Simon Maskell, & David Salmond. (2005). Poisson models for extended target and group tracking. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5913. 59130R–59130R. 232 indexed citations
5.
Gilholm, Kevin & David Salmond. (2005). Spatial distribution model for tracking extended objects. IEE Proceedings - Radar Sonar and Navigation. 152(5). 364–371. 251 indexed citations
6.
Pulford, G.W. & David Salmond. (2005). A Gaussian Mixture Filter for Near-Far Object Tracking. 39. 337–344. 3 indexed citations
7.
Ristić, Branko & David Salmond. (2004). A Study of a Nonlinear Filtering Problem for Tracking an Extended Target. 15 indexed citations
8.
Salmond, David, et al.. (2004). <title>A novel MCMC tracker for stressing scenarios</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5428. 330–341. 2 indexed citations
9.
Salmond, David, et al.. (2003). Track maintenance using measurements of target extent. IEE Proceedings - Radar Sonar and Navigation. 150(6). 389–395. 46 indexed citations
10.
Maskell, Simon, et al.. (2003). Efficient particle filtering for multiple target tracking with application to tracking in structured images. Image and Vision Computing. 21(10). 931–939. 27 indexed citations
11.
Salmond, David, et al.. (2002). <title>Bayesian approach to avoiding track seduction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4728. 427–438. 1 indexed citations
12.
Salmond, David, et al.. (2001). A particle filter for track-before-detect. 3755–3760 vol.5. 214 indexed citations
13.
Salmond, David & Neil Gordon. (2000). <title>Group tracking with limited sensor resolution and finite field of view</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 13 indexed citations
14.
Gordon, Neil, et al.. (1998). <title>Target acquisition/selection: a comparison between a Bayesian technique and the Munkres algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3365. 264–276. 1 indexed citations
15.
Gordon, Neil, David Salmond, & David J. Fisher. (1997). <title>Bayesian target tracking after group pattern distortion</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3163. 238–248. 38 indexed citations
16.
Gordon, Neil, et al.. (1995). Bayesian state estimation for tracking and guidance using the bootstrap filter. Journal of Guidance Control and Dynamics. 18(6). 1434–1443. 113 indexed citations
17.
Gordon, Neil, et al.. (1993). Bayesian state estimation for tracking and guidance using the bootstrap filter. Guidance, Navigation and Control Conference. 3 indexed citations
18.
Salmond, David. (1990). Mixture reduction algorithms for target tracking in clutter. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1305. 434–434. 163 indexed citations
19.
Salmond, David. (1989). Mixture reduction algorithms for target tracking. 88 indexed citations
20.
Salmond, David, D.P. Atherton, & J. A. Bather. (1988). Mixture Reduction Algorithms for Uncertain Tracking. IFAC Proceedings Volumes. 21(9). 775–780. 29 indexed citations

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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