Alankrita Aggarwal

1.0k total citations · 1 hit paper
31 papers, 547 citations indexed

About

Alankrita Aggarwal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Alankrita Aggarwal has authored 31 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 9 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Alankrita Aggarwal's work include Software Reliability and Analysis Research (7 papers), Software Engineering Research (7 papers) and Brain Tumor Detection and Classification (4 papers). Alankrita Aggarwal is often cited by papers focused on Software Reliability and Analysis Research (7 papers), Software Engineering Research (7 papers) and Brain Tumor Detection and Classification (4 papers). Alankrita Aggarwal collaborates with scholars based in India, Italy and Iraq. Alankrita Aggarwal's co-authors include Mamta Mittal, Gopi Battineni, T J Nandhini, P. K. Suri, Deepak Kumar, Jitendra Kumar, Susama Bagchi, Deepak Upadhyay, Jagjit Singh Dhatterwal and Sunil Gupta and has published in prestigious journals such as International Journal of Information Management Data Insights, International Journal of Innovative Technology and Exploring Engineering and International Journal of Software Innovation.

In The Last Decade

Alankrita Aggarwal

23 papers receiving 517 citations

Hit Papers

Generative adversarial network: An overview of theory and... 2021 2026 2022 2024 2021 100 200 300 400
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.

  1. Generative adversarial network: An overview of theory and applications
    2021 461 citations Alankrita Aggarwal, Mamta Mittal et al. International Journal of Information Management Data Insights profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alankrita Aggarwal India 6 171 167 56 52 49 31 547
Kun Zhao China 12 196 1.1× 153 0.9× 39 0.7× 42 0.8× 32 0.7× 47 711
Xingjian Li China 14 335 2.0× 175 1.0× 68 1.2× 63 1.2× 53 1.1× 57 782
Nikhil Ketkar United States 8 177 1.0× 128 0.8× 41 0.7× 64 1.2× 48 1.0× 14 626
G. Maragatham India 9 166 1.0× 107 0.6× 52 0.9× 52 1.0× 60 1.2× 39 614
Xuming Han China 12 311 1.8× 181 1.1× 39 0.7× 70 1.3× 40 0.8× 64 744
Chuin-Mu Wang Taiwan 11 162 0.9× 174 1.0× 31 0.6× 52 1.0× 45 0.9× 41 510
Xinxin Zhou China 9 163 1.0× 100 0.6× 57 1.0× 46 0.9× 29 0.6× 29 383
Xuhong Li China 9 221 1.3× 102 0.6× 32 0.6× 35 0.7× 25 0.5× 36 538
Haifeng Jin China 10 372 2.2× 168 1.0× 68 1.2× 55 1.1× 63 1.3× 27 708

Countries citing papers authored by Alankrita Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Alankrita Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alankrita Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Alankrita Aggarwal. A scholar is included among the top collaborators of Alankrita 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 Alankrita Aggarwal. Alankrita Aggarwal 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
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Aggarwal, Alankrita, et al.. (2024). Deep Learning-based Enhanced Security in Cyber- Physical Systems: A Multi-Attack Perspective. 347–352. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2024). Flood Forecasting with Classical and Quantum Machine Learning Models: A Comparative Analysis. 1–6. 1 indexed citations
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Kaswan, Kuldeep Singh, et al.. (2024). New Era of IoT with Cloud Computing: A review of Technology, Issues and Challenges. 1–7. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2024). Security in cyber physical systems: Transformation and challenges. Journal of Autonomous Intelligence. 7(4). 2 indexed citations
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Aggarwal, Alankrita, et al.. (2024). An optimized deep learning-based fault-tolerant mechanism for energy efficient data transmission in IoT. Journal of Autonomous Intelligence. 7(4).
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Aggarwal, Alankrita, et al.. (2023). Early Detection of Melanoma Skin Cancer Recognition using CNN. 1703–1707. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2023). Gene Expression based Blood Cancer Classification Model using Natural Computing along with Deep Learning. 4. 292–297. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2022). An Analysis of Internet of Things (IoT) Malwares and detection based on Static and Dynamic Techniques. 24–29. 5 indexed citations
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Aggarwal, Alankrita, Mamta Mittal, & Gopi Battineni. (2021). Generative adversarial network: An overview of theory and applications. International Journal of Information Management Data Insights. 1(1). 100004–100004. 461 indexed citations breakdown →
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Aggarwal, Alankrita, et al.. (2021). A Forecast of Coronary Heart Disease using Proficient Machine Learning Algorithms. 517–522. 11 indexed citations
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Aggarwal, Alankrita, et al.. (2020). Comparative Analysis of Proposed Artificial Neural Network (ANN) Algorithm With Other Techniques. 12(1). 29–35. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2020). Design for Software Risk Management Using Soft Computing and Simulated Biological Approach. 12(2). 44–54. 3 indexed citations
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Aggarwal, Alankrita, et al.. (2020). COVID-19. 13(1). 57–68. 1 indexed citations
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Aggarwal, Alankrita, et al.. (2019). Escalated Methods for Software Defects Audit in Repercussion and Effects Construe to Nature Inspired and Behavior Driven Mechanisms. International Journal of Engineering and Advanced Technology. 8(6). 1779–1783. 2 indexed citations
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Aggarwal, Alankrita, et al.. (2019). Usage Patterns and Implementation of Random Forest Methods for Software Risk and Bugs Predictions. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 927–932. 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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