Reecha Sharma

1.1k total citations · 1 hit paper
41 papers, 631 citations indexed

About

Reecha Sharma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Reecha Sharma has authored 41 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 5 papers in Signal Processing. Recurrent topics in Reecha Sharma's work include Face recognition and analysis (12 papers), Optical Network Technologies (8 papers) and Advanced Photonic Communication Systems (7 papers). Reecha Sharma is often cited by papers focused on Face recognition and analysis (12 papers), Optical Network Technologies (8 papers) and Advanced Photonic Communication Systems (7 papers). Reecha Sharma collaborates with scholars based in India. Reecha Sharma's co-authors include Neha Sharma, Neeru Jindal, Anu Sheetal, Meet Kumari, Manjeet Singh Patterh, Vivek Kumar Singh, Harmanpreet Kaur, Sanjeev Kumar, Taranjit Kaur and Lakhwinder Kaur and has published in prestigious journals such as Scientific Reports, Multimedia Tools and Applications and Optik.

In The Last Decade

Reecha Sharma

39 papers receiving 593 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning and Deep Learning Applications-A Vision

2021 246 citations Neha Sharma, Reecha Sharma et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reecha Sharma India	13	188	187	98	56	52	41	631
Penghui Zhao China	8	168 0.9×	119 0.6×	187 1.9×	45 0.8×	57 1.1×	14	542
Kamal Kumar Ghanshala India	9	128 0.7×	122 0.7×	122 1.2×	36 0.6×	31 0.6×	26	537
T Anjali India	14	131 0.7×	102 0.5×	94 1.0×	29 0.5×	61 1.2×	117	554
Feng Yu China	13	205 1.1×	105 0.6×	58 0.6×	37 0.7×	55 1.1×	55	444
Shenglin Mu Japan	8	171 0.9×	106 0.6×	159 1.6×	31 0.6×	26 0.5×	49	569
Jian Zhao China	15	362 1.9×	65 0.3×	127 1.3×	60 1.1×	37 0.7×	134	800
Weijie Yu China	9	301 1.6×	102 0.5×	215 2.2×	35 0.6×	82 1.6×	20	678
Rongjun Chen China	13	184 1.0×	53 0.3×	78 0.8×	61 1.1×	49 0.9×	59	481
Maria Valueva Russia	7	116 0.6×	66 0.4×	143 1.5×	37 0.7×	34 0.7×	26	462
R. Anand India	12	101 0.5×	66 0.4×	120 1.2×	97 1.7×	26 0.5×	53	600

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-authorship network of co-authors of Reecha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Reecha Sharma. A scholar is included among the top collaborators of Reecha Sharma 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 Reecha Sharma. Reecha Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Kaur, Harmanpreet, et al.. (2025). Comparison of deep transfer learning models for classification of cervical cancer from pap smear images. Scientific Reports. 15(1). 3945–3945. 9 indexed citations

2.

Sharma, Neha, Reecha Sharma, & Neeru Jindal. (2022). Comparative analysis of CycleGAN and AttentionGAN on face aging application. Sadhana. 47(1). 6 indexed citations

3.

Sharma, Neha, Reecha Sharma, & Neeru Jindal. (2021). Prediction of face age progression with generative adversarial networks. Multimedia Tools and Applications. 80(25). 33911–33935. 15 indexed citations

4.

Kaur, Harmanpreet, Reecha Sharma, & Lakhwinder Kaur. (2021). Automated Cervical Cancer Image Analysis using Deep Learning Techniques from Pap-Smear Images: A Literature Review. 1–7. 4 indexed citations

5.

Kumari, Meet, Reecha Sharma, & Anu Sheetal. (2021). A review of a hybrid IoT-NG-PON system for translational bioinformatics in healthcare. Elsevier eBooks. 59–68. 4 indexed citations

6.

Sharma, Neha, Reecha Sharma, & Neeru Jindal. (2020). An Improved Technique for Face Age Progression and Enhanced Super-Resolution with Generative Adversarial Networks. Wireless Personal Communications. 114(3). 2215–2233. 11 indexed citations

7.

Kumari, Meet, Reecha Sharma, & Anu Sheetal. (2020). Performance analysis of high speed backward compatible TWDM-PON with hybrid WDM–OCDMA PON using different OCDMA codes. Optical and Quantum Electronics. 52(11). 44 indexed citations

8.

Sharma, Reecha, et al.. (2019). Underwater Image Enhancement using HOG and SIFT Method. International Journal of Engineering and Advanced Technology. 8(6). 3275–3279. 1 indexed citations

9.

Kumari, Meet, Reecha Sharma, & Anu Sheetal. (2019). Comparative Analysis of High Speed 20/20 Gbps OTDM-PON, WDM-PON and TWDM-PON for Long-Reach NG-PON2. Journal of Optical Communications. 43(3). 397–410. 12 indexed citations

10.

Sharma, Neha, et al.. (2019). Age Estimation and its Progression from Face Images. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 2351–2355. 1 indexed citations

11.

Kumari, Meet, Reecha Sharma, & Anu Sheetal. (2018). Passive Optical Network Evolution to Next Generation Passive Optical Network: A Review. 102–107. 14 indexed citations

12.

Sharma, Reecha, et al.. (2017). Analysis and implementation of simple gesture recognition algorithms using MATLAB. 3. 1–4. 3 indexed citations

13.

Sharma, Reecha, et al.. (2016). Medical Image Stitching Using Hybrid of SIFT and SURF Methods. LAP LAMBERT Academic Publishing eBooks. 1 indexed citations

14.

Sharma, Reecha, et al.. (2016). Segmentation of Tumor Region from Brain Mri Images Using Fuzzy C-Means Clustering And Seeded Region Growing. IOSR Journal of Computer Engineering. 18(5). 20–24. 8 indexed citations

15.

Sharma, Reecha, et al.. (2016). A Systematic Performance Comparison of Artificial Intelligence Techniques used for ALNPR System. 17(1). 161–167. 1 indexed citations

16.

Singh, Vivek Kumar, et al.. (2016). Comparative study of FIR and IIR filters for the removal of 50 Hz noise from EEG signal. International Journal of Biomedical Engineering and Technology. 22(3). 250–250. 17 indexed citations

17.

Sharma, Reecha & Manjeet Singh Patterh. (2015). A Face Recognition System using PCA and AI Technique. International Journal of Computer Applications. 126(6). 30–37. 3 indexed citations

18.

Sharma, Reecha. (2015). Indian Face Age Database: A Database for Face Recognition with Age Variation. 7 indexed citations

19.

Sharma, Reecha, et al.. (2013). Study of Different Image fusion Algorithm. 44 indexed citations

20.

Kaur, Taranjit & Reecha Sharma. (2013). TJ-ACA: An Advanced Cryptographic Algorithm for Color Images using Ikeda Mapping. 1 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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