Saurabh Shukla

963 total citations
34 papers, 588 citations indexed

About

Saurabh Shukla is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saurabh Shukla has authored 34 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saurabh Shukla's work include IoT and Edge/Fog Computing (8 papers), Photonic Crystals and Applications (6 papers) and Electric Vehicles and Infrastructure (5 papers). Saurabh Shukla is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Photonic Crystals and Applications (6 papers) and Electric Vehicles and Infrastructure (5 papers). Saurabh Shukla collaborates with scholars based in India, Ireland and Pakistan. Saurabh Shukla's co-authors include Shahid Hussain, John G. Breslin, Syed Muslim Jameel, Mohd Fadzil Hassan, Subhasis Thakur, Muhammad Khalid Khan, Low Tang Jung, Azlan Awang, Satheesh Abimannan and El-Sayed M. El-Alfy and has published in prestigious journals such as PLoS ONE, Applied Energy and IEEE Access.

In The Last Decade

Saurabh Shukla

31 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saurabh Shukla India 15 203 203 158 114 68 34 588
Mengying Zhao China 18 524 2.6× 519 2.6× 84 0.5× 58 0.5× 61 0.9× 80 980
Markus Jung Germany 12 197 1.0× 419 2.1× 83 0.5× 55 0.5× 12 0.2× 50 685
Stephen Phillips United States 12 104 0.5× 74 0.4× 106 0.7× 41 0.4× 39 0.6× 46 404
Bo Yin China 15 334 1.6× 237 1.2× 137 0.9× 70 0.6× 51 0.8× 46 545
Bo Mei China 10 325 1.6× 265 1.3× 342 2.2× 206 1.8× 10 0.1× 66 852
Zhen Ye China 11 146 0.7× 109 0.5× 130 0.8× 169 1.5× 27 0.4× 32 488
Zhimin Chen China 14 143 0.7× 155 0.8× 91 0.6× 54 0.5× 7 0.1× 67 635
Santiago Gil Denmark 11 351 1.7× 75 0.4× 276 1.7× 73 0.6× 58 0.9× 22 663
Kiho Lim United States 11 135 0.7× 191 0.9× 117 0.7× 120 1.1× 59 0.9× 34 386

Countries citing papers authored by Saurabh Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Shukla. A scholar is included among the top collaborators of Saurabh Shukla 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 Saurabh Shukla. Saurabh Shukla 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
1.
Abimannan, Satheesh, et al.. (2023). Ensemble Multifeatured Deep Learning Models and Applications: A Survey. IEEE Access. 11. 107194–107217. 41 indexed citations
2.
Shah, Rahul, et al.. (2023). Comparing Effectiveness of GAN and CLAHE for Enhancing Underwater Images. 1499–1503. 1 indexed citations
3.
Hussain, Shahid, Reyazur Rashid Irshad, Fabiano Pallonetto, et al.. (2023). Enhancing the Efficiency of Electric Vehicles Charging Stations Based on Novel Fuzzy Integer Linear Programming. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9150–9164. 15 indexed citations
4.
Hussain, Shahid, Reyazur Rashid Irshad, Fabiano Pallonetto, et al.. (2023). Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles. Applied Energy. 352. 121939–121939. 13 indexed citations
5.
Shukla, Saurabh, Shahid Hussain, Reyazur Rashid Irshad, et al.. (2023). Network analysis in a peer-to-peer energy trading model using blockchain and machine learning. Computer Standards & Interfaces. 88. 103799–103799. 16 indexed citations
6.
Abimannan, Satheesh, El-Sayed M. El-Alfy, Shahid Hussain, et al.. (2023). Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment. Sustainability. 15(18). 13951–13951. 36 indexed citations
7.
Hassan, Mohd Fadzil, et al.. (2023). A User-Priorities-Based Strategy for Three-Phase Intelligent Recommendation and Negotiating Agents for Cloud Services. IEEE Access. 11. 26932–26944. 6 indexed citations
8.
Hussain, Shahid, Subhasis Thakur, Saurabh Shukla, et al.. (2022). A Heuristic Charging Cost Optimization Algorithm for Residential Charging of Electric Vehicles. Energies. 15(4). 1304–1304. 21 indexed citations
10.
Ismail, Idris, et al.. (2022). Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment. Sensors. 22(12). 4363–4363. 18 indexed citations
11.
Hassan, Mohd Fadzil, et al.. (2022). CTMF: Context-Aware Trust Management Framework for Internet of Vehicles. IEEE Access. 10. 73685–73701. 15 indexed citations
12.
Hashmani, Manzoor Ahmed, et al.. (2021). An Adaptive Federated Machine Learning-Based Intelligent System for Skin Disease Detection: A Step toward an Intelligent Dermoscopy Device. Applied Sciences. 11(5). 2145–2145. 33 indexed citations
13.
Shukla, Saurabh, Mohd Fadzil Hassan, Tran Duc Chung, et al.. (2021). Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR). Cluster Computing. 26(5). 2657–2680. 50 indexed citations
14.
Shukla, Saurabh, Mohd Fadzil Hassan, Muhammad Khalid Khan, Low Tang Jung, & Azlan Awang. (2019). An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment. PLoS ONE. 14(11). e0224934–e0224934. 73 indexed citations
15.
Gupta, Ritika, et al.. (2018). Deletion of Y-Allele in Autosomal STR and Role of Y-STR. 50–54. 1 indexed citations
16.
Shukla, Saurabh, et al.. (2017). Touch Screen Based Security Lock for Bike. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 2(3). 357–362. 2 indexed citations
17.
Prasad, Surendra, Yogesh Sharma, Saurabh Shukla, & Vivek Kumar Singh. (2016). Properties of density of modes in one dimensional magnetized plasma photonic crystals. Physics of Plasmas. 23(3). 14 indexed citations
19.
Darji, Anand D., Saurabh Shukla, S. N. Merchant, & A. N. Chandorkar. (2014). Hardware Efficient VLSI Architecture for 3-D Discrete Wavelet Transform. 348–352. 6 indexed citations
20.
Panjwani, Saurabh, Nisheeth Shrivastava, Saurabh Shukla, & Sharad Jaiswal. (2013). Understanding the privacy-personalization dilemma for web search. 3427–3430. 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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