Raghav Agarwal

511 total citations
35 papers, 208 citations indexed

About

Raghav Agarwal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raghav Agarwal has authored 35 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raghav Agarwal's work include Cloud Computing and Resource Management (4 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (3 papers). Raghav Agarwal is often cited by papers focused on Cloud Computing and Resource Management (4 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (3 papers). Raghav Agarwal collaborates with scholars based in India, United States and Belgium. Raghav Agarwal's co-authors include Sagar Dhanraj Pande, Harsh Vikram Singh, S. K. Jain, Sachi Nandan Mohanty, Sandeep Kumar Panda, Janjhyam Venkata Naga Ramesh, Ashish Kumar, Madan Lal Saini, Ashish Kumar and Shalu Jain and has published in prestigious journals such as IEEE Access, Multimedia Tools and Applications and Indian Journal of Labour Economics.

In The Last Decade

Raghav Agarwal

32 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raghav Agarwal India	8	68	55	51	27	27	35	208
Negar Maleki United States	6	137 2.0×	41 0.7×	33 0.6×	74 2.7×	23 0.9×	9	304
Anas W. Abulfaraj Saudi Arabia	10	75 1.1×	35 0.6×	13 0.3×	19 0.7×	13 0.5×	26	215
Jnyana Ranjan Mohanty India	8	62 0.9×	80 1.5×	19 0.4×	82 3.0×	13 0.5×	29	276
Amira Rezk Egypt	10	91 1.3×	37 0.7×	25 0.5×	12 0.4×	10 0.4×	25	217
Khaled M. Fouad Egypt	9	136 2.0×	76 1.4×	33 0.6×	28 1.0×	6 0.2×	42	272
Poonam Rani India	9	106 1.6×	96 1.7×	53 1.0×	19 0.7×	7 0.3×	35	321
Tianqi Wang China	10	69 1.0×	25 0.5×	46 0.9×	14 0.5×	10 0.4×	42	249
Anand Shanker Tewari India	11	80 1.2×	143 2.6×	71 1.4×	47 1.7×	6 0.2×	35	289
Sadaf Yasmin Pakistan	10	105 1.5×	16 0.3×	98 1.9×	72 2.7×	16 0.6×	29	328
Sanaa El Filali Morocco	8	201 3.0×	31 0.6×	23 0.5×	77 2.9×	48 1.8×	23	314

Countries citing papers authored by Raghav Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Raghav Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghav Agarwal

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

1.

Agarwal, Raghav, et al.. (2025). CohortSync: Scalable Micro-Cohort-Based Protocol for Consensus and Reconciliation in Distributed Systems. Integrated Journal for Research in Arts and Humanities. 5(1). 137–149.

2.

Kumar, Ashish, et al.. (2024). Optimizing Data Ingestion and Manipulation for Sports Marketing Analytics. 12(3). 647–678. 5 indexed citations

3.

Ramesh, Janjhyam Venkata Naga, et al.. (2024). Application of Several Transfer Learning Approach for Early Classification of Lung Cancer. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 2 indexed citations

4.

Jain, S. K., et al.. (2024). Improving Database Performance with SQL Server Optimization Techniques. 1(2). 450–494. 5 indexed citations

5.

Jain, S. K., et al.. (2023). Integrating Cloud-Native Solutions in Financial Services for Enhanced Operational Efficiency. 10(4). 402–419. 3 indexed citations

6.

Jain, S. K., et al.. (2023). Data-Driven Decision Making in Supply Chain Management. 9(5). 265–281. 4 indexed citations

7.

Agarwal, Raghav, et al.. (2023). Comparative Analysis of Deep Learning Models for Multiclass Alzheimer’s Disease Classification. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 4 indexed citations

8.

Agarwal, Raghav, et al.. (2023). Skin Disease Classification Using CNN Algorithms. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 13 indexed citations

9.

Agarwal, Raghav, et al.. (2023). Personalized federated learning for the detection of COVID-19. Multimedia Tools and Applications. 83(10). 29067–29084. 1 indexed citations

10.

Agarwal, Raghav, et al.. (2023). Fuzzy and Machine Learning based Multi-Criteria Decision Making for Selecting Electronics Product. ICST Transactions on Scalable Information Systems. 5 indexed citations

11.

Agarwal, Raghav, et al.. (2023). Real Time Image Placement Using Augmented Reality on Mobile Devices. 228–233.

12.

Jain, S. K., et al.. (2022). Enhancing Sourcing and Contracts Management Through Digital Transformation. 9(4). 496–519. 3 indexed citations

13.

Agarwal, Raghav, et al.. (2022). Deep Learning for Real time EEG Artifact Detection in Wearables. 13(5). 402–433. 14 indexed citations

14.

Agarwal, Raghav, et al.. (2022). Improving Digital Transformation in Enterprises Through Agile Methodologies. 13(5). 507–537. 11 indexed citations

15.

Jain, Shalu, et al.. (2021). Database Performance Optimization Techniques for Large-Scale Teradata Systems. 8(4). 192–209. 6 indexed citations

16.

Agarwal, Raghav. (2021). Video Classification into Academic and Entertainment using Subtitles. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(11). 5633–5639. 1 indexed citations

17.

Agarwal, Raghav, et al.. (2021). A Novel Anomaly Detection for Streaming Data using LSTM Autoencoders. International Journal of Recent Technology and Engineering (IJRTE). 10(2). 233–241. 2 indexed citations

18.

Agarwal, Raghav, et al.. (2020). Designing Resilient Multi-Tenant Architectures in Cloud Environments. 11(4). 356–373. 9 indexed citations

19.

Kumar, Ashish, et al.. (2020). Optimizing Data Pipeline Performance in Modern GPU Architectures. 11(4). 302–318. 7 indexed citations

20.

Agarwal, Raghav, et al.. (2017). Securing IoT with Trusted Authority Validation in Homomorphic Encryption Technique with ABE. 3(10). 86–91.

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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