Archit Aggarwal

547 total citations
19 papers, 305 citations indexed

About

Archit Aggarwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Archit Aggarwal has authored 19 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Archit Aggarwal's work include Big Data and Business Intelligence (1 paper), Air Quality and Health Impacts (1 paper) and Hair Growth and Disorders (1 paper). Archit Aggarwal is often cited by papers focused on Big Data and Business Intelligence (1 paper), Air Quality and Health Impacts (1 paper) and Hair Growth and Disorders (1 paper). Archit Aggarwal collaborates with scholars based in India, United Arab Emirates and Iraq. Archit Aggarwal's co-authors include Tanupriya Choudhury, Shubham Sharma, Mithun Suresh, F D Pooley, Jon Jones, Brian Wignall, Geoffrey Berry, R J Madeley, Peter G. Smith and Praveen Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Dermatology and Journal of Cutaneous Medicine and Surgery.

In The Last Decade

Archit Aggarwal

16 papers receiving 274 citations

Peers

Archit Aggarwal

AI

RNMI

HIM

PRM

DERMA

Ruchi Singla India

Giacomo Tarroni Italy

Kokeb Dese Ethiopia

Omar Mohd Rijal Malaysia

Tsung‐Po Chen Taiwan

Yangqin Feng Singapore

Jiayi Yin China

Vipin Venugopal India

Federico Pollastri Italy

Yinglai Liu China

Ruchi Singla India

Archit Aggarwal

80 ×0.6

AI

69 ×1.1

RNMI

25 ×0.5

HIM

11 ×0.2

PRM

35 ×0.8

DERMA

Citations per year, relative to Archit Aggarwal Archit Aggarwal (= 1×) peers Ruchi Singla

Countries citing papers authored by Archit Aggarwal

Since Specialization

Citations

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

Fields of papers citing papers by Archit Aggarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archit Aggarwal

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

All Works

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19 of 19 papers shown

1.

Aggarwal, Archit, et al.. (2024). A Review of Smart Grid Management Systems Using Machine Learning Algorithms for Efficient Energy Distribution. SHILAP Revista de lepidopterología. 540. 8009–8009. 1 indexed citations

2.

Aggarwal, Archit, et al.. (2023). Quantum Money : Opportunities, Challenges and Open Issues. 173–178.

3.

Aggarwal, Archit, et al.. (2022). Fine Tuning and Comparing Tacotron 2, Deep Voice 3, and FastSpeech 2 TTS Models in a Low Resource Environment. 1–6.

4.

Choudhury, Tanupriya, et al.. (2021). Video super resolution using convolutional neural network and image fusion techniques. International Journal of Knowledge-based and Intelligent Engineering Systems. 24(4). 279–287. 1 indexed citations

5.

Aggarwal, Archit, et al.. (2020). A Fuzzy Interface System for the Prediction of Caffeine Addiction. 28. 12–16.

6.

Sabitha, A. Sai, et al.. (2020). Mapping Student Performance With Employment Using Fuzzy C-Means. International Journal of Information System Modeling and Design. 11(4). 36–52. 2 indexed citations

7.

Sabitha, A. Sai, et al.. (2019). Chronic Kidney Disease Using Fuzzy C-Means Clustering Analysis. RePEc: Research Papers in Economics. 6(3). 43–64. 4 indexed citations

8.

Aggarwal, Archit, et al.. (2019). Approach for Detection of Malicious Nodes in VANET. SSRN Electronic Journal. 1 indexed citations

9.

Aggarwal, Archit, et al.. (2018). Knowledge, attitude and practices about sun exposure, photoprotection and sunscreen usage among college students of Hassan in Karnataka: A cross-sectional study. Journal of Pakistan Association of Dermatology. 28(1). 64–68. 1 indexed citations

10.

Choudhury, Tanupriya, et al.. (2018). An Efficient Way to Detect Credit Card Fraud Using Machine Learning Methodologies. 591–597. 3 indexed citations

11.

Sharma, Shubham, Archit Aggarwal, & Tanupriya Choudhury. (2018). Breast Cancer Detection Using Machine Learning Algorithms. 114–118. 134 indexed citations

12.

Choudhury, Tanupriya, et al.. (2018). Facial Recognition-Application and Future: A Review. 1. 231–235. 1 indexed citations

13.

Choudhury, Tanupriya, et al.. (2018). Techniques to Elimenate Human Bias in Machine Learning. 226–230. 8 indexed citations

14.

Aggarwal, Archit, et al.. (2018). A comparative study of various modalities in the treatment of keloids. International Journal of Dermatology. 57(10). 1192–1200. 30 indexed citations

15.

Aggarwal, Archit, et al.. (2018). Security techniques using Enhancement of AES Encryption. 244. 468–472. 1 indexed citations

16.

Aggarwal, Archit, et al.. (2017). A fuzzy interface system for determining Air Quality Index. 786–790. 15 indexed citations

17.

Choudhury, Tanupriya, et al.. (2017). Prediction for big data and IoT in 2017. 181–187. 8 indexed citations

18.

Suresh, Mithun, et al.. (2017). Intralesional Vitamin D₃ Injection in the Treatment of Recalcitrant Warts: A Novel Proposition. Journal of Cutaneous Medicine and Surgery. 21(4). 320–324. 45 indexed citations

19.

Jones, Jon, Peter G. Smith, F D Pooley, et al.. (1980). The consequences of exposure to asbestos dust in a wartime gas-mask factory.. PubMed. 637–53. 50 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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