Sunitha Safavat

411 total citations
12 papers, 275 citations indexed

About

Sunitha Safavat is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sunitha Safavat has authored 12 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sunitha Safavat's work include Vehicular Ad Hoc Networks (VANETs) (6 papers), IoT and Edge/Fog Computing (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Sunitha Safavat is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (6 papers), IoT and Edge/Fog Computing (4 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Sunitha Safavat collaborates with scholars based in United States. Sunitha Safavat's co-authors include Danda B. Rawat and Sachin Shetty and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal and Computer Science Review.

In The Last Decade

Sunitha Safavat

11 papers receiving 269 citations

Peers

Sunitha Safavat

CNC

EEE

IS

AI

CVPR

Zahid Ghaffar Taiwan

GSS Chalapathi India

Sathish Kumar United States

Jordi Ortiz Spain

César Marcondes Brazil

Jianqun Cui China

Amar Rasheed United States

Youcef Begriche France

Jason But Australia

Zahid Ghaffar Taiwan

Sunitha Safavat

174 ×1.0

CNC

73 ×0.8

EEE

166 ×1.9

IS

80 ×1.3

AI

19 ×0.8

CVPR

Citations per year, relative to Sunitha Safavat Sunitha Safavat (= 1×) peers Zahid Ghaffar

Countries citing papers authored by Sunitha Safavat

Since Specialization

Citations

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

Fields of papers citing papers by Sunitha Safavat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunitha Safavat

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

All Works

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12 of 12 papers shown

1.

Safavat, Sunitha & Danda B. Rawat. (2024). Joint Exponential Window-Kalman Filter and Weight Normalized ReLU-Memristor Activation Function-LSTM-based Proactive Content Caching framework in IoV using Asynchronous Federated Learning. 5437–5442.

2.

Safavat, Sunitha & Danda B. Rawat. (2024). Digital Twin Based Asynchronous Federated Learning Enabled IDS for False Data Injection Attacks in Vehicular CPS. 19–23. 1 indexed citations

3.

Safavat, Sunitha, et al.. (2023). A review of IoT security and privacy using decentralized blockchain techniques. Computer Science Review. 50. 100585–100585. 48 indexed citations

4.

Safavat, Sunitha, et al.. (2023). Security of Internet of Things (IoT) using federated learning and deep learning — Recent advancements, issues and prospects. ICT Express. 9(5). 941–960. 52 indexed citations

5.

Safavat, Sunitha & Danda B. Rawat. (2023). Asynchronous Federated Learning for Intrusion Detection in Vehicular Cyber-Physical Systems. 1–6. 6 indexed citations

6.

Safavat, Sunitha & Danda B. Rawat. (2023). Improved Multiresolution Neural Network for Mobility-Aware Security and Content Caching for Internet of Vehicles. IEEE Internet of Things Journal. 10(20). 17813–17823. 10 indexed citations

7.

Safavat, Sunitha & Danda B. Rawat. (2023). Energy-Efficient Resource Scheduling Using X-CNN and CD-SBO for SDN based MEC Enabled IoV. 411–416. 1 indexed citations

8.

Safavat, Sunitha & Danda B. Rawat. (2022). OptiML: An Enhanced ML Approach Towards Design of SDN based UAV Networks. ICC 2022 - IEEE International Conference on Communications. 1–6. 9 indexed citations

9.

Safavat, Sunitha & Danda B. Rawat. (2021). Securing Unmanned Aerial Vehicular Networks Using Modified Elliptic Curve Cryptography. 999–1004. 7 indexed citations

10.

Safavat, Sunitha & Danda B. Rawat. (2020). On the Elliptic Curve Cryptography for Privacy-Aware Secure ACO-AODV Routing in Intent-Based Internet of Vehicles for Smart Cities. IEEE Transactions on Intelligent Transportation Systems. 22(8). 5050–5059. 38 indexed citations

11.

Safavat, Sunitha, et al.. (2019). On the machine learning–based smart beamforming for wireless virtualization with large‐scale MIMO system. Transactions on Emerging Telecommunications Technologies. 30(9). 11 indexed citations

12.

Safavat, Sunitha, et al.. (2019). Recent advances in mobile edge computing and content caching. Digital Communications and Networks. 6(2). 189–194. 92 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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