L.M. Bruce

108 papers receiving 2.7k citations

L.M. Bruce's Hit Papers

Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis 2011 · 400 citations
4000+5+10Years since publication100200300400

Peers

L.M. Bruce
Comparison fields: 5 of 131
  • Media Technology 1.8k
  • Atmospheric Science 1.0k
  • Analytical Chemistry 546
  • Computer Vision and Pattern Recognition 837
  • Ecology 587
Replace Farid Melgani with:
Farid Melgani Italy
Alina Zare United States
Javier Calpe‐Maravilla Spain
Filiberto Pla Spain
Mingmin Chi China
J. Chanussot France
Haokui Zhang China
Xinyu Wang China
Joan Vila‐Francés Spain
L.M. Bruce relative to Farid Melgani Italy Farid Melgani's profile →
Citations per field
00.5×1.5×
Farid Melgani · 1×
Citations per year

Countries citing papers authored by L.M. Bruce

Since Specialization
Citations

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

Fields of papers citing papers by L.M. Bruce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.M. Bruce. 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 L.M. Bruce. The network helps show where L.M. Bruce may publish in the future.

Co-authors

The 25 scholars most cited alongside L.M. Bruce, 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 L.M. Bruce Line = papers co-authored together L.M. Bruce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002408
2
Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis
Hit paper breakdown →
2011400
3 2008294
4 2008118
5 2011112
6 2004101
7 200198
8 199995
9 200183
10 201052
11 200450
12 201248
13 201444
14 200842
15 200740
16 200640
17 201135
18 201332
19 200931
20 200831

About L.M. Bruce

L.M. Bruce is a scholar working on Media Technology, Analytical Chemistry, Computer Vision and Pattern Recognition, Atmospheric Science and Ecology, having authored 112 papers that have together received 2.9k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (62 papers), Spectroscopy and Chemometric Analyses (44 papers), Remote Sensing and Land Use (26 papers), Remote Sensing in Agriculture (24 papers), Advanced Image Fusion Techniques (20 papers), Image and Signal Denoising Methods (16 papers), AI in cancer detection (11 papers) and Advanced Chemical Sensor Technologies (9 papers). The work is most often cited by research in Media Technology (1.8k citations), Atmospheric Science (1.0k citations), Analytical Chemistry (546 citations), Computer Vision and Pattern Recognition (837 citations) and Ecology (587 citations). L.M. Bruce has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Saurabh Prasad, James E. Fowler, Li Jiang, Wei Li, John E. Ball, Anil Cheriyadat, David R. Shaw, Reza R. Adhami, Abhinav Mathur and S. Larsen. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Weed Technology, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Weed Science.

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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