Rashi Agarwal

943 total citations
78 papers, 588 citations indexed

About

Rashi Agarwal is a scholar working on Computer Vision and Pattern Recognition, Oncology and Mathematical Physics. According to data from OpenAlex, Rashi Agarwal has authored 78 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Oncology and 8 papers in Mathematical Physics. Recurrent topics in Rashi Agarwal's work include Metal complexes synthesis and properties (10 papers), Face and Expression Recognition (9 papers) and Mathematical Dynamics and Fractals (8 papers). Rashi Agarwal is often cited by papers focused on Metal complexes synthesis and properties (10 papers), Face and Expression Recognition (9 papers) and Mathematical Dynamics and Fractals (8 papers). Rashi Agarwal collaborates with scholars based in India, United States and Malaysia. Rashi Agarwal's co-authors include Mamta Rani, Matthew Goldenberg, Robert Perry, Waguih William IsHak, Jai Prakash, Anand Handa, Manjeet Jassal, Dharmendra Singh, Vishal Agarwal and Devendra Singh Chauhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Investigative Ophthalmology & Visual Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.

In The Last Decade

Rashi Agarwal

65 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashi Agarwal India 13 104 94 77 76 75 78 588
Qin Yang China 15 20 0.2× 16 0.2× 266 3.5× 22 0.3× 34 0.5× 98 946
M. Fernández–Martínez Spain 17 57 0.5× 32 0.3× 94 1.2× 108 1.4× 26 0.3× 50 675
Jaromír Kukal Czechia 15 28 0.3× 22 0.2× 30 0.4× 3 0.0× 209 2.8× 75 723
Fangyue Chen China 14 4 0.0× 45 0.5× 143 1.9× 60 0.8× 34 0.5× 95 599
Karsten Keller Germany 19 11 0.1× 44 0.5× 452 5.9× 120 1.6× 297 4.0× 64 1.3k
Mohammad Reza Golpayegani Iran 14 25 0.2× 17 0.2× 87 1.1× 6 0.1× 169 2.3× 40 640
Yunkai Liu China 13 44 0.4× 20 0.2× 109 1.4× 24 0.3× 123 1.6× 45 501
Mariofanna Milanova United States 14 60 0.6× 160 1.7× 9 0.1× 37 0.5× 100 703
Bingbing Li China 18 28 0.3× 143 1.5× 18 0.2× 1 0.0× 13 0.2× 104 1.0k
Maia Angelova United Kingdom 17 15 0.1× 148 1.6× 61 0.8× 2 0.0× 82 1.1× 89 941

Countries citing papers authored by Rashi Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Rashi Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashi Agarwal

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

All Works

20 of 20 papers shown
1.
Bhandari, Narendra Singh, et al.. (2024). An Insight on Artificial Intelligence (AI) and Internet of Things (IoT) driven Hydroponics Farming. Springer Link (Chiba Institute of Technology). 496–501. 2 indexed citations
2.
Singh, Prabal Pratap, et al.. (2024). ViT-HHO: Optimized vision transformer for diabetic retinopathy detection using Harris Hawk optimization. MethodsX. 13. 103018–103018. 1 indexed citations
3.
4.
Agarwal, Rashi, et al.. (2024). An Insight on Artificial Intelligence (AI) and Internet of things (IOT) driven Hydroponics farming. SHILAP Revista de lepidopterología. 556. 1036–1036.
5.
Agarwal, Rashi, et al.. (2024). Location Based Recommendation System Using Deep Learning. 1–8.
6.
Agarwal, Rashi, et al.. (2023). Real-Time Health Analytics: EnhancingWearable Technology for ProactiveHealthcare Management. International Journal of Innovative Research in Computer and Communication Engineering. 11(9). 8690–8695.
7.
Agarwal, Rashi, et al.. (2023). An Intelligent Framework for Estimating Software Development Projects using Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication. 11(5). 160–169. 2 indexed citations
8.
Agarwal, Rashi, et al.. (2022). Using Deep Learning Approach for Land-Use and Land-Cover Classification based on Satellite images. 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). 1–8. 1 indexed citations
9.
Agarwal, Rashi, et al.. (2020). Chaos Based Image Encryption Using 3- Dimension Logistic Map. Journal of Advanced Research in Dynamic and Control Systems. 12. 980–986. 3 indexed citations
10.
Agarwal, Rashi, et al.. (2020). Foreign Bodies in Ear, Nose, Throat and Maxillofacial Region: A Study on Their Clinical Profile and Complications. Indian Journal of Otolaryngology and Head & Neck Surgery. 74(S3). 4483–4494.
11.
Handa, Anand, et al.. (2020). Incremental approach for multi-modal face expression recognition system using deep neural networks. International Journal of Computational Vision and Robotics. 11(1). 1–1. 5 indexed citations
12.
Handa, Anand, et al.. (2020). Incremental approach for multi-modal face expression recognition system using deep neural networks. International Journal of Computational Vision and Robotics. 11(1). 1–1. 1 indexed citations
13.
Agarwal, Rashi, et al.. (2019). Novel Method of Secure Communication using Logistic Map. International Journal of Recent Technology and Engineering (IJRTE). 8(2S7). 603–605.
14.
Agarwal, Rashi, et al.. (2019). Observational study of cone beam computed tomography based interfractional urinary bladder filling variation during image guided radiation therapy in pelvic malignancies. Journal of Cancer Research and Therapeutics. 17(1). 152–156. 2 indexed citations
15.
Agarwal, Rashi, et al.. (2016). An easy method for leaf area estimation based on digital images. 307–310. 7 indexed citations
16.
Agarwal, Rashi, et al.. (2016). Primary adenocarcinoma of ureter: A rare histopathological variant. Urology Annals. 8(3). 357–357. 7 indexed citations
17.
Agarwal, Rashi, et al.. (2015). Antibacterial finish of textile using papaya peels derived silver nanoparticles. Indian Journal of Fibre & Textile Research (IJFTR). 40(1). 105–107. 4 indexed citations
18.
Agarwal, Rashi, et al.. (2009). Synthesis and characterization of thorium(IV) and dioxouranium(VI) complexes of 4-[(3,4,5-trimethoxybenzalidene)amino] antipyrine. Polish Journal of Chemistry. 67(2). 219–225.
19.
Agarwal, Rashi, et al.. (1994). Magneto and Spectral Studies of Lanthanide(III) Nitrate Complexes of 4-Vinylpyridine. Synthesis and Reactivity in Inorganic and Metal-Organic Chemistry. 24(5). 735–747. 2 indexed citations
20.
Sharma, Sanjay, et al.. (1982). Infrared Studies of Some Selenocyanato Complexes of Oxozirconium(IV) with 0 and N Donor Ligands. Croatica Chemica Acta. 55(3). 283–286. 4 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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