Danda B. Rawat

11.8k total citations · 2 hit papers
420 papers, 7.6k citations indexed

About

Danda B. Rawat is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Danda B. Rawat has authored 420 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 231 papers in Computer Networks and Communications, 160 papers in Electrical and Electronic Engineering and 143 papers in Artificial Intelligence. Recurrent topics in Danda B. Rawat's work include Vehicular Ad Hoc Networks (VANETs) (62 papers), Network Security and Intrusion Detection (59 papers) and Blockchain Technology Applications and Security (44 papers). Danda B. Rawat is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (62 papers), Network Security and Intrusion Detection (59 papers) and Blockchain Technology Applications and Security (44 papers). Danda B. Rawat collaborates with scholars based in United States, Japan and China. Danda B. Rawat's co-authors include Gongjun Yan, Chandra Bajracharya, Bimal Ghimire, Swetha Reddy, Moses Garuba, Houbing Song, Ronald Doku, Stephan Olariu, Sabina Jeschke and Christian Brecher and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and IEEE Communications Surveys & Tutorials.

In The Last Decade

Danda B. Rawat

390 papers receiving 7.3k citations

Hit Papers

Recent Advances on Federated Lear... 2016 2026 2019 2022 2022 2016 50 100 150 200 250
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. Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things
    2022 297 citations Danda B. Rawat et al. profile →
  2. Software Defined Networking Architecture, Security and Energy Efficiency: A Survey
    2016 269 citations Danda B. Rawat et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danda B. Rawat United States 43 3.9k 2.8k 2.2k 1.5k 840 420 7.6k
Tie Qiu China 51 5.0k 1.3× 3.0k 1.0× 2.0k 0.9× 1.6k 1.1× 812 1.0× 261 9.1k
Kun Wang China 54 4.8k 1.2× 3.6k 1.3× 2.0k 0.9× 2.4k 1.6× 1.0k 1.2× 420 9.8k
Sahil Garg Canada 48 3.9k 1.0× 1.9k 0.7× 2.4k 1.1× 2.3k 1.5× 603 0.7× 254 7.3k
Moayad Aloqaily United Arab Emirates 43 3.2k 0.8× 2.0k 0.7× 2.0k 0.9× 2.4k 1.6× 431 0.5× 192 6.5k
Md Zakirul Alam Bhuiyan United States 52 4.0k 1.0× 1.9k 0.7× 2.4k 1.1× 2.4k 1.6× 560 0.7× 214 8.0k
Jun Wu China 40 3.1k 0.8× 2.0k 0.7× 1.7k 0.8× 1.7k 1.2× 593 0.7× 315 6.2k
Burak Kantarcı Canada 39 2.8k 0.7× 1.8k 0.6× 1.8k 0.8× 1.2k 0.8× 501 0.6× 295 6.1k
Ali Kashif Bashir United Kingdom 51 4.5k 1.1× 2.6k 0.9× 3.1k 1.4× 2.4k 1.6× 611 0.7× 349 10.0k
Jinsong Wu China 45 3.6k 0.9× 4.0k 1.4× 1.3k 0.6× 1.1k 0.8× 693 0.8× 270 7.8k
Xue Liu Canada 47 4.7k 1.2× 3.0k 1.1× 1.7k 0.8× 3.2k 2.2× 646 0.8× 406 9.4k

Countries citing papers authored by Danda B. Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Danda B. Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danda B. Rawat. 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 Danda B. Rawat. The network helps show where Danda B. Rawat may publish in the future.

Co-authorship network of co-authors of Danda B. Rawat

This figure shows the co-authorship network connecting the top 25 collaborators of Danda B. Rawat. A scholar is included among the top collaborators of Danda B. Rawat 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 Danda B. Rawat. Danda B. Rawat 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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Chatterjee, Pushpita, Debashis Das, & Danda B. Rawat. (2024). Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements. Future Generation Computer Systems. 158. 410–426. 42 indexed citations
3.
Rawat, Danda B., et al.. (2024). Recent advances on generative models for semantic segmentation: a survey. 41–41. 2 indexed citations
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Rawat, Danda B., et al.. (2024). Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization. SHILAP Revista de lepidopterología. 4(2). 241–263. 4 indexed citations
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Rawat, Danda B., et al.. (2024). Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning. Sensors. 24(18). 6062–6062. 8 indexed citations
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Hagos, Desta Haileselassie, et al.. (2024). Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives. IEEE Transactions on Artificial Intelligence. 5(12). 5873–5893. 32 indexed citations
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Alami, Hassan El & Danda B. Rawat. (2024). A Novel Neural Networks-based Framework for APT Detection in Networked Autonomous Systems. 1–6. 1 indexed citations
12.
Ahmed, Imtiaz, et al.. (2024). Data-Driven Design for IRS-Assisted Massive Multi-Modal Sensing in Industry 5.0. 632–637. 1 indexed citations
13.
Rawat, Danda B., et al.. (2023). A pipeline approach for privacy preservation against poisoning attacks in a Mobile Edge Computing environment. Ad Hoc Networks. 154. 103385–103385. 4 indexed citations
14.
Ahmed, Imtiaz, et al.. (2023). GAN-Based Channel Estimation for IRS-Aided Communication Systems. IEEE Transactions on Vehicular Technology. 73(4). 6012–6017. 11 indexed citations
15.
Ahmed, Imtiaz, et al.. (2021). Dynamic Resource Allocation for IRS Assisted Energy Harvesting Systems With Statistical Delay Constraint. IEEE Transactions on Vehicular Technology. 71(2). 2158–2163. 8 indexed citations
16.
Nisar, Kashif, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, et al.. (2021). Design of Morlet Wavelet Neural Network for Solving a Class of Singular Pantograph Nonlinear Differential Models. IEEE Access. 9. 77845–77862. 54 indexed citations
17.
Verma, Sandeep, et al.. (2021). Intelligent Framework Using IoT-Based WSNs for Wildfire Detection. IEEE Access. 9. 48185–48196. 61 indexed citations
18.
Nisar, Kashif, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, et al.. (2021). Numerical Study of the Environmental and Economic System through the Computational Heuristic Based on Artificial Neural Networks. Sensors. 21(19). 6567–6567. 13 indexed citations
19.
Singh, Pranav Kumar, et al.. (2019). An efficient blockchain‐based approach for cooperative decision making in swarm robotics. Internet Technology Letters. 3(1). 28 indexed citations
20.
Rawat, Danda B., et al.. (2019). Towards energy efficiency and green network infrastructure deployment in Nepal using software defined IPv6 network paradigm. The Electronic Journal of Information Systems in Developing Countries. 86(1). 16 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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