Parul Agarwal

489 total citations
23 papers, 268 citations indexed

About

Parul Agarwal is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Parul Agarwal has authored 23 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Parul Agarwal's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Parul Agarwal is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Parul Agarwal collaborates with scholars based in India, Iraq and Egypt. Parul Agarwal's co-authors include Shikha Mehta, R. K. Agrawal, Baljeet Kaur, Deepika Koundal, Ajith Abraham, Anirban Dutta, V. K. Arora, Parmeet Kaur, Prashant Kumar and Ahmed J. Obaid and has published in prestigious journals such as Applied Soft Computing, Artificial Intelligence Review and Multimedia Tools and Applications.

In The Last Decade

Parul Agarwal

22 papers receiving 250 citations

Peers

Parul Agarwal

CNC

CTM

CVPR

Lucija Brezočnik Slovenia

Matthias Reif Germany

Archana Sarangi India

Adnan Acan Cyprus

Dheeb Albashish Jordan

Nagaraju Devarakonda India

Dongyang Li China

Adis Alihodžić Bosnia and Herzegovina

Yupeng Chen China

Lucija Brezočnik Slovenia

Parul Agarwal

229 ×1.6

40 ×0.8

CNC

47 ×1.0

CTM

55 ×1.7

CVPR

36 ×1.2

Citations per year, relative to Parul Agarwal Parul Agarwal (= 1×) peers Lucija Brezočnik

Countries citing papers authored by Parul Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Parul Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parul Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Parul Agarwal. A scholar is included among the top collaborators of Parul 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 Parul Agarwal. Parul Agarwal 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

Arora, V. K. & Parul Agarwal. (2024). An Empirical Study of Nature-Inspired Algorithms for Feature Selection in Medical Applications. Annals of Data Science. 12(5). 1479–1524. 2 indexed citations

Agarwal, Parul, et al.. (2024). An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction. Annals of Data Science. 11(6). 2217–2233. 4 indexed citations

Agarwal, Parul, Kavita Khanna, Ahmed A. Elngar, Ahmed J. Obaid, & Zdzisław Pólkowski. (2023). Artificial Intelligence for Smart Healthcare. EAI/Springer Innovations in Communication and Computing. 1 indexed citations

Mehta, Shikha, Parmeet Kaur, & Parul Agarwal. (2023). Improved whale optimization variants for SLA-compliant placement of virtual machines in cloud data centers. Multimedia Tools and Applications. 83(1). 149–171. 3 indexed citations

Agarwal, Parul, et al.. (2023). Anomaly detection using ensemble techniques for boosting the security of intrusion detection system. Procedia Computer Science. 218. 1003–1013. 21 indexed citations

Agarwal, Parul, et al.. (2022). Intelligent Intrusion Detection System Optimized using Nature-Inspired Algorithms. 2. 80–85. 2 indexed citations

Kumar, Prashant, et al.. (2022). Stock Prices Prediction Based on Social Influence & Historic Data. 276–283. 1 indexed citations

Agarwal, Parul, et al.. (2022). Hybrid Nature-Inspired Algorithm for Feature Selection in Alzheimer Detection Using Brain MRI Images. International Journal of Computational Intelligence and Applications. 21(3). 3 indexed citations

Agarwal, Parul, R. K. Agrawal, & Baljeet Kaur. (2022). Multi-objective particle swarm optimization with guided exploration for multimodal problems. Applied Soft Computing. 120. 108684–108684. 25 indexed citations

10.

Agarwal, Parul, et al.. (2021). Detecting grades of diabetic retinopathy by extraction of retinal lesions using digital fundus images. Research on Biomedical Engineering. 37(4). 641–656. 7 indexed citations

11.

Agarwal, Parul, et al.. (2021). A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks. 179–186. 2 indexed citations

12.

Agarwal, Parul, et al.. (2019). AD3S: Advanced Driver Drowsiness Detection System using Machine Learning. 108–113. 16 indexed citations

13.

Mehta, Shikha, et al.. (2019). Ensemble Learning Approach for Enhanced Stock Prediction. 1–5. 13 indexed citations

14.

Mehta, Shikha, et al.. (2018). Differential bond energy algorithm for optimal vertical fragmentation of distributed databases. Journal of King Saud University - Computer and Information Sciences. 34(1). 1466–1471. 9 indexed citations

15.

Agarwal, Parul, et al.. (2018). Empirical Analysis of Bitcoin Market Volatility Using Supervised Learning Approach. 1–5. 5 indexed citations

16.

Mehta, Shikha & Parul Agarwal. (2018). ABC_DE_FP: A Novel Hybrid Algorithm for Complex Continuous Optimization Problems. International Journal of Bio-Inspired Computation. 1(1). 1–1. 4 indexed citations

17.

Agarwal, Parul & Shikha Mehta. (2017). Empirical analysis of five nature-inspired algorithms on real parameter optimization problems. Artificial Intelligence Review. 50(3). 383–439. 17 indexed citations

18.

Agarwal, Parul & Shikha Mehta. (2016). Enhanced flower pollination algorithm on data clustering. International Journal of Computers and Applications. 38(2-3). 144–155. 21 indexed citations

19.

Agarwal, Parul & Shikha Mehta. (2015). Comparative analysis of nature inspired algorithms on data clustering. 119–124. 10 indexed citations

20.

Agarwal, Parul & Shikha Mehta. (2014). Nature-Inspired Algorithms: State-of-Art, Problems and Prospects. International Journal of Computer Applications. 100(14). 14–21. 46 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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