Reecha Sharma

1.1k citations
41 papers · 631 · 1 hit paper · h-index 13

Impact in

Papers in

Reecha Sharma

39 papers receiving 593 citations

Reecha Sharma's Hit Papers

Machine Learning and Deep Learning Applications-A Vision 2021 · 246 citations
2460+1+3Years since publication50100150200

Peers

Reecha Sharma
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 188
  • Health Informatics 11
  • Media Technology 56
  • Signal Processing 52
  • Electrical and Electronic Engineering 187
Replace Weijie Yu with:
Weijie Yu China
Maria Valueva Russia
Sourav Mishra India
Zhiguo Yu China
Xiangli Yang China
Aiman Al-Sabaawi Australia
Arvind Kumar Tiwari India
Dulari Bhatt India
Javad Rahebi Türkiye
Georgii Valuev Russia
Reecha Sharma relative to Weijie Yu China Weijie Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Reecha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Reecha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Reecha Sharma, 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 Reecha Sharma Line = papers co-authored together Reecha Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning and Deep Learning Applications-A Vision
Hit paper breakdown →
2021246
2
Study of Different Image fusion Algorithm
201344
3 202044
4 202125
5 201523
6 202122
7 202121
8 202118
9 201617
10 202216
11 202115
12
Different Approaches of CBIR Techniques
201315
13 201814
14 201912
15 202011
16 20259
17 20168
18 20158
19
Indian Face Age Database: A Database for Face Recognition with Age Variation
20157
20 20217

About Reecha Sharma

Reecha Sharma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Media Technology, having authored 41 papers that have together received 631 indexed citations. Recurring topics across this work include Face recognition and analysis (12 papers), Optical Network Technologies (8 papers), Face and Expression Recognition (7 papers), Advanced Photonic Communication Systems (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Biometric Identification and Security (4 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Health Informatics (11 citations), Media Technology (56 citations), Signal Processing (52 citations) and Electrical and Electronic Engineering (187 citations). Reecha Sharma has collaborated with scholars based in India. Frequent co-authors include Neeru Jindal, Neha Sharma, Anu Sheetal, Meet Kumari, Manjeet Singh Patterh, Vivek Kumar Singh, Harmanpreet Kaur, Sanjeev Kumar, Taranjit Kaur and Lakhwinder Kaur. Their work appears in journals such as Wireless Personal Communications, Optik, Optical and Quantum Electronics, Scientific Reports and Sadhana.

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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