Maneesha Singh

695 citations
11 papers · 473 · h-index 6

Impact in

Papers in

Maneesha Singh

10 papers receiving 438 citations

Peers

Maneesha Singh
Comparison fields: 5 of 87
  • Media Technology 96
  • Computer Vision and Pattern Recognition 143
  • Radiation 46
  • Industrial and Manufacturing Engineering 33
  • Radiology, Nuclear Medicine and Imaging 76
Replace H. Kasban with:
H. Kasban Egypt
Xinjun Zhu China
Pengfei Fan China
Lin He China
Ran Zhang China
Tilo Strutz Germany
Patrick Lambert France
L.W. Cahill Australia
Tingting Wu China
Maneesha Singh relative to H. Kasban Egypt H. Kasban's profile →
Citations per field
00.5×3.8×
H. Kasban · 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 2002206
2 200583
3 200682
4 200572
5 200419
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
Multiresolution estimates of classification complexity and multiple subspace classifiers for understanding and solving complex recognition tasks
20061
9
Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
20051
10 20241
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 473 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Decision-Making and Behavioral Economics (1 paper), Remote-Sensing Image Classification (1 paper), Innovation Diffusion and Forecasting (1 paper), Psychological and Temporal Perspectives Research (1 paper), Remote Sensing in Agriculture (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Media Technology (96 citations), Computer Vision and Pattern Recognition (143 citations), Radiation (46 citations), Industrial and Manufacturing Engineering (33 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Maneesha Singh has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Sameer Singh, Chid Apte, Petra Perner and Wei Ren. Their work appears in journals such as Pattern Analysis and Applications, Signal Processing, Signal Processing Image Communication, Lecture notes in computer science and Journal of Modelling in Management.

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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