Achyut Shankar

4.6k total citations · 2 hit papers
181 papers, 2.5k citations indexed

About

Achyut Shankar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Achyut Shankar has authored 181 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 48 papers in Artificial Intelligence and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Achyut Shankar's work include IoT and Edge/Fog Computing (28 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Advanced Image Fusion Techniques (14 papers). Achyut Shankar is often cited by papers focused on IoT and Edge/Fog Computing (28 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Advanced Image Fusion Techniques (14 papers). Achyut Shankar collaborates with scholars based in India, United Kingdom and China. Achyut Shankar's co-authors include Prabhishek Singh, Manoj Diwakar, Manoj Kumar, Xiaochun Cheng, N. Jaisankar, Muhammad Rukunuddin Ghalib, Thompson Stephan, Carsten Maple, Kumar Abhishek and Krishna Kant Singh and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and IEEE Access.

In The Last Decade

Achyut Shankar

166 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Human–Computer Interaction and Digital Literacy Promote Educational Learning in Pre-school Children: Mediating Role of Psychological Resilience for Kids’ Mental Well-Being and School Readiness

2023 66 citations Achyut Shankar et al. profile →
Association between social media use and students’ academic performance through family bonding and collective learning: The moderating role of mental well-being

2024 35 citations Achyut Shankar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Achyut Shankar India	30	651	624	501	486	330	181	2.5k
B. D. Parameshachari India	32	447 0.7×	631 1.0×	376 0.8×	566 1.2×	608 1.8×	162	2.7k
Manoj Kumar India	31	834 1.3×	726 1.2×	625 1.2×	683 1.4×	431 1.3×	236	3.0k
Shah Nazir Pakistan	29	893 1.4×	1.0k 1.7×	784 1.6×	469 1.0×	278 0.8×	173	3.6k
Kuruva Lakshmanna India	23	646 1.0×	876 1.4×	335 0.7×	420 0.9×	387 1.2×	51	2.7k
S. Neelakandan India	30	754 1.2×	743 1.2×	448 0.9×	360 0.7×	519 1.6×	75	2.5k
Sami Bourouis Saudi Arabia	29	424 0.7×	845 1.4×	364 0.7×	596 1.2×	206 0.6×	110	2.5k
Ashutosh Sharma India	35	928 1.4×	763 1.2×	894 1.8×	404 0.8×	585 1.8×	134	3.5k
Mohammad Shabaz India	28	583 0.9×	698 1.1×	511 1.0×	343 0.7×	273 0.8×	162	2.7k
Sadia Din South Korea	27	678 1.0×	477 0.8×	294 0.6×	430 0.9×	463 1.4×	90	2.1k
Rongfang Bie China	28	899 1.4×	885 1.4×	586 1.2×	642 1.3×	651 2.0×	174	3.2k

Countries citing papers authored by Achyut Shankar

Since Specialization

Citations

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

Fields of papers citing papers by Achyut Shankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achyut Shankar

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

Shankar, Achyut, et al.. (2025). Optimization of movie recommender system using differential evolutionary bees algorithm for clustering. Progress in Artificial Intelligence. 14(4). 581–606.

Kaushik, Keshav, Akashdeep Bhardwaj, Xiaochun Cheng, et al.. (2025). Residual Network-Based Deep Learning Framework for Diabetic Retinopathy Detection. Journal of Database Management. 36(1). 1–21. 1 indexed citations

Balusamy, Balamurugan, et al.. (2024). Design control and management of intelligent and autonomous nanorobots with artificial intelligence for Prevention and monitoring of blood related diseases. Engineering Applications of Artificial Intelligence. 131. 107798–107798. 6 indexed citations

Shankar, Achyut, et al.. (2024). A lightweight BRLWE-based post-quantum cryptosystem with side-channel resilience for IoT security. Internet of Things. 28. 101391–101391. 2 indexed citations

Alghamdi, Norah Saleh, Mohammed Zakariah, Achyut Shankar, & Wattana Viriyasitavat. (2024). Heart disease prediction using autoencoder and DenseNet architecture. Egyptian Informatics Journal. 28. 100559–100559. 5 indexed citations

Khadidos, Alaa O., et al.. (2024). SPIS: Signal Processing for Integrated Sensing Technologies Using 6G Networks with Machine Learning Algorithms. Wireless Personal Communications. 136(1). 181–211. 1 indexed citations

Onyema, Edeh Michael, et al.. (2024). Detection and mitigation of few control plane attacks in software defined network environments using deep learning algorithm. Concurrency and Computation Practice and Experience. 36(26). 2 indexed citations

Selvarajan, Shitharth, Adil O. Khadidos, Alaa O. Khadidos, et al.. (2024). Generative artificial intelligence and adversarial network for fraud detections in current evolutional systems. Expert Systems. 42(2). 5 indexed citations

Kaur, Prabhjot, et al.. (2024). A novel hybrid CNN methodology for automated leaf disease detection and classification. Expert Systems. 41(7). 21 indexed citations

10.

Selvarajan, Shitharth, Hariprasath Manoharan, Rakan A. Alsowail, et al.. (2023). Development of edge computing and classification using The Internet of Things with incremental learning for object detection. Internet of Things. 23. 100852–100852. 15 indexed citations

11.

Zhang, Yongping & Achyut Shankar. (2023). Enhancing Supply Chain Transparency and Risk Management Using CNN-LSTM With Transfer Learning. Journal of Organizational and End User Computing. 35(1). 1–22. 12 indexed citations

12.

Kaur, Prabhjot, Mukund Pratap Singh, Achyut Shankar, et al.. (2023). DELM: Deep Ensemble Learning Model for Multiclass Classification of Super-Resolution Leaf Disease Images. TURKISH JOURNAL OF AGRICULTURE AND FORESTRY. 47(5). 727–745. 17 indexed citations

13.

Shankar, Achyut, et al.. (2023). Entropy‐aware energy‐efficient virtual machine placement in cloud environments using type information. Concurrency and Computation Practice and Experience. 36(15). 2 indexed citations

14.

Wu, Guoqiang, Xin Ning, Luyang Hou, et al.. (2023). Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification. Signal Processing. 212. 109151–109151. 30 indexed citations

15.

Selvarajan, Shitharth, Hariprasath Manoharan, Alaa O. Khadidos, et al.. (2023). RLIS: Resource Limited Improved Security Beyond Fifth-Generation Networks Using Deep Learning Algorithms. IEEE Open Journal of the Communications Society. 4. 2383–2396. 8 indexed citations

16.

Kumar, Ankit, Surbhi Bhatia, Saroj Kumar Pandey, et al.. (2023). Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities. Journal of Cloud Computing Advances Systems and Applications. 12(1). 13 indexed citations

17.

Dhasarathan, Chandramohan, et al.. (2021). A novel approach for multi-constraints knapsack problem using cluster particle swarm optimization. Computers & Electrical Engineering. 96. 107399–107399. 10 indexed citations

18.

Khosravi, Mohammad R., et al.. (2021). A Secure IoT‐Based Cloud Platform Selection Using Entropy Distance Approach and Fuzzy Set Theory. Wireless Communications and Mobile Computing. 2021(1). 19 indexed citations

19.

Bhardwaj, Akashdeep, Syed Bilal Hussain Shah, Achyut Shankar, et al.. (2020). Penetration testing framework for smart contract Blockchain. Peer-to-Peer Networking and Applications. 14(5). 2635–2650. 57 indexed citations

20.

Matta, Ibrahim & Achyut Shankar. (1995). Z -iteration. 126–135. 2 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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