Parul Agarwal

1.1k total citations
37 papers, 515 citations indexed

About

Parul Agarwal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Parul Agarwal has authored 37 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Parul Agarwal's work include IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (5 papers) and Blockchain Technology Applications and Security (5 papers). Parul Agarwal is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (5 papers) and Blockchain Technology Applications and Security (5 papers). Parul Agarwal collaborates with scholars based in India, Saudi Arabia and Norway. Parul Agarwal's co-authors include M. Afshar Alam, Sheikh Mohammad Idrees, Ahmed J. Obaid, Mansaf Alam, Surbhi Bhatia, Mohd Abdul Ahad, Gautami Tripathi, Ranjit Biswas, Vinita Kumari and Muhammad Kashif and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Parul Agarwal

34 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parul Agarwal India	13	149	141	123	84	84	37	515
Khaled H. Alyoubi Saudi Arabia	13	186 1.2×	201 1.4×	117 1.0×	117 1.4×	110 1.3×	38	577
Tony Jan Australia	17	253 1.7×	98 0.7×	97 0.8×	170 2.0×	83 1.0×	80	734
Seema Rawat India	12	100 0.7×	42 0.3×	118 1.0×	90 1.1×	53 0.6×	58	457
M. Omair Shafiq Canada	12	194 1.3×	182 1.3×	73 0.6×	61 0.7×	101 1.2×	43	559
Chuishi Meng United States	12	415 2.8×	89 0.6×	121 1.0×	50 0.6×	68 0.8×	20	825
Sitara Afzal South Korea	12	323 2.2×	121 0.9×	32 0.3×	36 0.4×	66 0.8×	16	782
Mehr Yahya Durrani Pakistan	11	182 1.2×	43 0.3×	81 0.7×	179 2.1×	105 1.3×	23	534
P Zanetti Italy	11	344 2.3×	49 0.3×	71 0.6×	59 0.7×	97 1.2×	22	615
Albina Orlando Italy	8	59 0.4×	38 0.3×	152 1.2×	87 1.0×	40 0.5×	29	405
Daochen Zha United States	17	433 2.9×	44 0.3×	90 0.7×	121 1.4×	38 0.5×	38	652

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Khan, Ihtiram Raza, et al.. (2025). A proposed hybrid PCA–t-SNE approach for early prediction of Alzheimer’s disease. International Journal of Information Technology. 17(9). 5231–5243.

Agarwal, Parul, et al.. (2025). Role of salivary MMP-9 in OSCC detection and diagnosis: A comprehensive clinical assessment. Bioinformation. 21(6). 1680–1682. 1 indexed citations

Singh, Inderpreet, Amandeep Kaur, Parul Agarwal, & Sheikh Mohammad Idrees. (2024). Enhancing Security and Transparency in Online Voting through Blockchain Decentralization. SN Computer Science. 5(7). 2 indexed citations

Agarwal, Parul, et al.. (2024). Roberta and BERT: Revolutionizing Mental Healthcare Through Natural Language. SN Computer Science. 5(7). 3 indexed citations

Naaz, Sameena, et al.. (2023). A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces. Symmetry. 15(5). 1025–1025. 4 indexed citations

Siddiqui, Farheen, M. Afshar Alam, Sameena Naaz, et al.. (2023). Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification. Diagnostics. 13(4). 640–640. 13 indexed citations

Khan, Ihtiram Raza, et al.. (2023). Retraction Notice: Role of AI, Big data in Smart Healthcare System. 1–1.

Kumar, Ankit, Surbhi Bhatia, Mohammad R. Khosravi, Arwa Mashat, & Parul Agarwal. (2022). Semantic and Context Understanding for Sentiment Analysis in Hindi Handwritten Character Recognition Using a Multiresolution Technique. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(1). 1–22. 3 indexed citations

Bhatia, Surbhi, et al.. (2022). A Novel Framework for Arabic Dialect Chatbot Using Machine Learning. Computational Intelligence and Neuroscience. 2022. 1–11. 14 indexed citations

10.

Shuaib, Mohammed, Noor Hafizah Hassan, Sahnius Usman, et al.. (2022). Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability. Sustainability. 14(9). 5400–5400. 25 indexed citations

11.

Gupta, Meenu, et al.. (2022). Mental health issues assessment using tools during COVID-19 pandemic. Innovations in Systems and Software Engineering. 20(3). 393–404. 2 indexed citations

12.

Agarwal, Parul, et al.. (2022). A hybridized approach for minimizing energy in cloud computing. Cluster Computing. 27(1). 53–70. 5 indexed citations

13.

Ramana, Kadiyala, M. Rudra Kumar, Thippa Reddy Gadekallu, et al.. (2022). Early Prediction of Lung Cancers Using Deep Saliency Capsule and Pre-Trained Deep Learning Frameworks. Frontiers in Oncology. 12. 886739–886739. 27 indexed citations

14.

Agarwal, Parul, et al.. (2022). SIoT (Social Internet of Things): A Review. Lecture notes in networks and systems. 289–297. 31 indexed citations

15.

Agarwal, Parul, Sheikh Mohammad Idrees, & Ahmed J. Obaid. (2021). Blockchain and IoT Technology in Transformation of Education Sector. International Journal of Online and Biomedical Engineering (iJOE). 17(12). 4–18. 16 indexed citations

16.

Alam, Mansaf, et al.. (2020). Modified Support Vector Machine for Detecting Stress Level Using EEG Signals. Computational Intelligence and Neuroscience. 2020. 1–14. 40 indexed citations

17.

Idrees, Sheikh Mohammad, M. Afshar Alam, & Parul Agarwal. (2018). A study of big data and its challenges. International Journal of Information Technology. 11(4). 841–846. 22 indexed citations

18.

Agarwal, Parul, et al.. (2017). Cryptography Based Security for Cloud Computing System. International Journal of Advanced Research in Computer Science. 8(5). 2193–2197. 14 indexed citations

19.

Agarwal, Parul, M. Afshar Alam, & Ranjit Biswas. (2010). A Hierarchical Clustering Algorithm for Categorical Attributes. 2. 365–368. 3 indexed citations

20.

Agarwal, Parul, M. Afshar Alam, & Ranjit Biswas. (2010). Analysing the agglomerative hierarchical Clustering Algorithm for Categorical Attributes. 12 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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