Maneesha Singh

610 citations
11 papers · 414 · h-index 6

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
  • Radiation top 10%
    • Nuclear Physics and Applications

Papers in

Maneesha Singh

10 papers receiving 382 citations

Peers

Maneesha Singh
Comparison fields: 5 of 75
  • Media Technology 79
  • Radiation 46
  • Computer Vision and Pattern Recognition 106
  • Radiology, Nuclear Medicine and Imaging 70
  • Chemical Health and Safety 2
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Xiwen Chen United States
Jiahao Huang China
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Maneesha Singh relative to Jeongtae Kim South Korea Jeongtae Kim's profile →
Citations per field
00.5×3.3×
Jeongtae Kim · 1×
Citations per year

Countries citing papers authored by Maneesha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Maneesha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2002207
2 200682
3 200573
4 200523
5 200418
6 20025
7
Pattern recognition and data mining : Third International Conference on Advances in Pattern Recognition, ICAPR 2005 Bath, UK, August 22-25, 2005 : proceedings, part I
20053
8 20241
9
Multiresolution estimates of classification complexity and multiple subspace classifiers for understanding and solving complex recognition tasks
20061
10
Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
20051
11 20240

About Maneesha Singh

Maneesha Singh is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Ecology, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 11 papers that have together received 414 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Advanced Statistical Methods and Models (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Remote Sensing in Agriculture (1 paper), Infrared Target Detection Methodologies (1 paper), Remote-Sensing Image Classification (1 paper) and Economic and Environmental Valuation (1 paper). The work is most often cited by research in Media Technology (79 citations), Radiation (46 citations), Computer Vision and Pattern Recognition (106 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Chemical Health and Safety (2 citations). Maneesha Singh has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Sameer Singh, Petra Perner, Chid Apte and Wei Ren. Their work appears in journals such as Signal Processing, Signal Processing Image Communication, Pattern Analysis and Applications, Journal of Modelling in Management and Lecture notes in computer 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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