Stuart Barr

3.4k total citations
89 papers, 2.5k citations indexed

About

Stuart Barr is a scholar working on Environmental Engineering, Global and Planetary Change and Building and Construction. According to data from OpenAlex, Stuart Barr has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 25 papers in Global and Planetary Change and 14 papers in Building and Construction. Recurrent topics in Stuart Barr's work include Remote Sensing and LiDAR Applications (18 papers), Flood Risk Assessment and Management (11 papers) and Land Use and Ecosystem Services (9 papers). Stuart Barr is often cited by papers focused on Remote Sensing and LiDAR Applications (18 papers), Flood Risk Assessment and Management (11 papers) and Land Use and Ecosystem Services (9 papers). Stuart Barr collaborates with scholars based in United Kingdom, Australia and United States. Stuart Barr's co-authors include Richard Dawson, Michael J. Barnsley, Rachel Gaulton, Robert W. Elwood, M. J. Barnsley, Alistair Ford, Elias Fernando Berra, Jim W. Hall, Philip James and Juan Carlos Pinilla Suárez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Stuart Barr

89 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stuart Barr United Kingdom 31 863 589 541 419 265 89 2.5k
Wu Xiao China 33 1.6k 1.8× 931 1.6× 618 1.1× 361 0.9× 158 0.6× 133 3.4k
Hao Wu China 23 701 0.8× 225 0.4× 436 0.8× 287 0.7× 115 0.4× 157 2.0k
Elizabeth A. Wentz United States 30 1.4k 1.6× 280 0.5× 1.2k 2.1× 303 0.7× 88 0.3× 100 3.3k
Qingyun Du China 30 1.1k 1.3× 525 0.9× 500 0.9× 347 0.8× 74 0.3× 138 3.3k
Frank Canters Belgium 31 1.6k 1.9× 644 1.1× 974 1.8× 446 1.1× 56 0.2× 144 3.1k
Christopher D. Lippitt United States 19 1.1k 1.2× 476 0.8× 376 0.7× 228 0.5× 105 0.4× 56 1.8k
Jos Van Orshoven Belgium 35 1.2k 1.4× 765 1.3× 1.1k 2.1× 257 0.6× 269 1.0× 204 3.9k
Helena Mitášová United States 31 937 1.1× 1.0k 1.8× 1.4k 2.6× 552 1.3× 155 0.6× 108 4.3k
Shattri Mansor Malaysia 31 1.7k 2.0× 670 1.1× 913 1.7× 625 1.5× 125 0.5× 127 3.6k
Jagannath Aryal Australia 33 1.9k 2.2× 866 1.5× 780 1.4× 565 1.3× 179 0.7× 124 4.0k

Countries citing papers authored by Stuart Barr

Since Specialization
Citations

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

Fields of papers citing papers by Stuart Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stuart Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart Barr. A scholar is included among the top collaborators of Stuart Barr 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 Stuart Barr. Stuart Barr 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.
Yang, Haibo, et al.. (2025). Surface urban heat island variations under the 3-decadal urban expansion in China: Patterns and driving factors. Sustainable Cities and Society. 130. 106640–106640. 2 indexed citations
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Shah, Tejal, et al.. (2019). Ontology-based discovery of time-series data sources for landslide early warning system. Computing. 102(3). 745–763. 12 indexed citations
5.
Śmigaj, Magdalena, Rachel Gaulton, Stuart Barr, & Juan Carlos Pinilla Suárez. (2016). Investigating the performance of a low-cost thermal imager for forestry applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10004. 100041E–100041E. 6 indexed citations
6.
Pregnolato, Maria, et al.. (2016). Assessing urban strategies for reducing the impacts of extreme weather on infrastructure networks. Royal Society Open Science. 3(5). 160023–160023. 97 indexed citations
7.
Hall, Jim W., Pranab Baruah, Simon Blainey, et al.. (2016). The Future of National Infrastructure. Cambridge University Press eBooks. 57 indexed citations
8.
Ford, Alistair, Katie Jenkins, Richard Dawson, et al.. (2015). Simulating Impacts of Extreme Weather Events on Urban Transport Infrastructure in the UK. UCL Discovery (University College London). 6 indexed citations
9.
Barr, Stuart, et al.. (2015). Resilience of Hierarchical Critical Infrastructure Networks. 2 indexed citations
10.
Pant, Raghav, Scott Thacker, Jim W. Hall, Stuart Barr, & David Alderson. (2014). Analyzing Interdependent National Infrastructure Provisions Under Extreme Climate Risk. 2 indexed citations
11.
Gold, Jason M., et al.. (2013). The efficiency of dynamic and static facial expression recognition. Journal of Vision. 13(5). 23–23. 37 indexed citations
12.
Barker, Jason, Stuart Barr, James G. Bittner, et al.. (2012). Dynamic and static expressions of emotion are recognized with equal efficiency. Journal of Vision. 12(9). 966–966. 1 indexed citations
13.
Barr, Stuart, et al.. (2012). An evaluation of thermal Earth observation for characterizing urban heatwave event dynamics using the urban heat island intensity metric. International Journal of Remote Sensing. 34(3). 864–884. 39 indexed citations
14.
Barr, Stuart, et al.. (2011). A typology of real-time parallel geoprocessing for the sensor web era. CEUR Workshop Proceedings. 712. 3 indexed citations
15.
Barr, Stuart. (2009). Singing warm-ups: Physiology, psychology, or placebo?. Logopedics Phoniatrics Vocology. 34(3). 142–144. 9 indexed citations
16.
White, D. C., Mathew Williams, & Stuart Barr. (2008). Detecting sub-surface soil disturbance using hyperspectral first derivative band ratios of associated vegetation stress. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 37. 9 indexed citations
17.
Mills, J. P., Stuart Barr, David M. Barber, et al.. (2008). Terrestrial laser scanning for assessing the risk of slope instability along transport corridors. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. 37. 495–500. 10 indexed citations
18.
Mills, J. P., Stuart Barr, David M. Barber, et al.. (2007). High resolution earth imaging for transport corridor slope stability risk analysis. 7 indexed citations
19.
Barr, Stuart, et al.. (2004). On the Separability of Urban Land-Use Categories in Fine Spatial Scale Land-Cover Data Using Structural Pattern Recognition. Environment and Planning B Planning and Design. 31(3). 397–418. 35 indexed citations
20.
Barnsley, M. J. & Stuart Barr. (1996). INFERRING URBAN LAND USE FROM SATELLITE SENSOR IMAGES USING KERNEL-BASED SPATIAL RECLASSIFICATION. Photogrammetric Engineering & Remote Sensing. 62(8). 949–958. 177 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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