B.P. Salmon

1.5k total citations
74 papers, 1.2k citations indexed

About

B.P. Salmon is a scholar working on Media Technology, Ecology and Global and Planetary Change. According to data from OpenAlex, B.P. Salmon has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Media Technology, 34 papers in Ecology and 24 papers in Global and Planetary Change. Recurrent topics in B.P. Salmon's work include Remote-Sensing Image Classification (35 papers), Remote Sensing in Agriculture (34 papers) and Land Use and Ecosystem Services (23 papers). B.P. Salmon is often cited by papers focused on Remote-Sensing Image Classification (35 papers), Remote Sensing in Agriculture (34 papers) and Land Use and Ecosystem Services (23 papers). B.P. Salmon collaborates with scholars based in Australia, South Africa and United States. B.P. Salmon's co-authors include W. Kleynhans, F. van den Bergh, C. P. Schwegmann, J.C. Olivier, B. T. Maharaj, Francois Luus, Konrad Wessels, Karen Steenkamp, N M Wilson and Jane Clarke and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

B.P. Salmon

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.P. Salmon Australia 17 421 354 241 240 226 74 1.2k
Emmanuël Trouvé France 21 276 0.7× 106 0.3× 194 0.8× 99 0.4× 936 4.1× 98 1.8k
Silvana Dellepiane Italy 18 362 0.9× 252 0.7× 382 1.6× 311 1.3× 184 0.8× 94 1.3k
Lionel Bombrun France 15 289 0.7× 173 0.5× 175 0.7× 91 0.4× 257 1.1× 44 988
Maryam Rahnemoonfar United States 17 99 0.2× 161 0.5× 288 1.2× 77 0.3× 231 1.0× 65 1.1k
Luyan Ji China 17 767 1.8× 254 0.7× 229 1.0× 289 1.2× 532 2.4× 75 1.2k
Kazhong Deng China 22 334 0.8× 144 0.4× 132 0.5× 63 0.3× 402 1.8× 115 1.7k
Jianhua Guo China 16 391 0.9× 237 0.7× 302 1.3× 130 0.5× 81 0.4× 55 958
Xianju Li China 23 756 1.8× 376 1.1× 417 1.7× 335 1.4× 359 1.6× 51 1.8k
Ruyi Feng China 22 829 2.0× 174 0.5× 482 2.0× 169 0.7× 391 1.7× 68 1.4k

Countries citing papers authored by B.P. Salmon

Since Specialization
Citations

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

Fields of papers citing papers by B.P. Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.P. Salmon. 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 B.P. Salmon. The network helps show where B.P. Salmon may publish in the future.

Co-authorship network of co-authors of B.P. Salmon

This figure shows the co-authorship network connecting the top 25 collaborators of B.P. Salmon. A scholar is included among the top collaborators of B.P. Salmon 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 B.P. Salmon. B.P. Salmon 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.
Salmon, B.P., et al.. (2024). Investigation of electromagnetic pulse scattering for metallic object classification using machine learning. Journal of Electromagnetic Waves and Applications. 38(11). 1256–1282.
2.
Salmon, B.P., et al.. (2024). Machine learning classification of metallic objects using pulse induction electromagnetic data. Measurement Science and Technology. 35(6). 66103–66103. 2 indexed citations
3.
Salmon, B.P., et al.. (2020). Predicting Apnoeic Events in Preterm Infants. Frontiers in Pediatrics. 8. 570–570. 16 indexed citations
4.
Salmon, B.P., et al.. (2019). Estimating changes in seismic wave velocity from a pneumatic source in an operational mine. Geophysics. 84(6). Q49–Q56.
5.
Olivier, J.C., et al.. (2019). A Forecasting Approach to Online Change Detection in Land Cover Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(5). 1451–1460. 1 indexed citations
7.
Salmon, B.P., et al.. (2017). Automatic Torso Detection in Images of Preterm Infants. Journal of Medical Systems. 41(9). 134–134. 3 indexed citations
8.
Gale, Timothy J., B.P. Salmon, Jennifer A. Dawson, et al.. (2015). Characterisation of the Oxygenation Response to Inspired Oxygen Adjustments in Preterm Infants. Neonatology. 109(1). 37–43. 15 indexed citations
9.
Gale, Timothy J., et al.. (2014). Assessment of validity and predictability of the FiO2–SpO2transfer-function in preterm infants. Physiological Measurement. 35(7). 1425–1437. 9 indexed citations
10.
Almeida, Cláudia Maria de, et al.. (2014). Foreword to the Special Issue on Human Settlement Observation and Monitoring from Space. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(10). 3995–3997. 1 indexed citations
11.
Schwegmann, C. P., W. Kleynhans, & B.P. Salmon. (2014). Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery. eCite Digital Repository (University of Tasmania). 220. 561–564. 2 indexed citations
12.
Salmon, B.P., F. van den Bergh, Karen Steenkamp, et al.. (2013). Evaluation of rule-based classifier for Landsat-based automated land cover mapping in South Africa. eCite Digital Repository (University of Tasmania). 68. 4301–4304. 3 indexed citations
13.
Salmon, B.P., et al.. (2013). Land Cover Change Detection Using the Internal Covariance Matrix of the Extended Kalman Filter Over Multiple Spectral Bands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(3). 1079–1085. 23 indexed citations
14.
Grobler, Trienko, et al.. (2012). Cavalieri integration. Quaestiones Mathematicae. 35(3). 265–296. 2 indexed citations
15.
Kleynhans, W., et al.. (2011). A comparison of feature extraction methods within a spatio-temporal land cover change detection framework. eCite Digital Repository (University of Tasmania). 688–691. 1 indexed citations
16.
Salmon, B.P., et al.. (2011). The use of a Multilayer Perceptron for detecting new human settlements from a time series of MODIS images. International Journal of Applied Earth Observation and Geoinformation. 13(6). 873–883. 28 indexed citations
17.
Kleynhans, W., J.C. Olivier, B.P. Salmon, Konrad Wessels, & F. van den Bergh. (2010). A spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data. eCite Digital Repository (University of Tasmania). 1 8. 1972–1975. 2 indexed citations
18.
Salmon, B.P., J.C. Olivier, W. Kleynhans, Konrad Wessels, & F. van den Bergh. (2009). The quest for automated land cover change detection using satellite time series data. eCite Digital Repository (University of Tasmania). IV–244. 9 indexed citations
19.
Salmon, B.P.. (2001). Differences between men and women in compliance with risk factor reduction: Before and after coronary artery bypass surgery. Journal of Vascular Nursing. 19(3). 73–78. 6 indexed citations
20.
Clarke, Jane, B.P. Salmon, & Michael Silverman. (1995). Bronchial Responsiveness in the Neonatal Period as a Risk Factor for Wheezing in Infancy. American Journal of Respiratory and Critical Care Medicine. 151(5). 1434–1440. 75 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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