Manik Gupta

430 total citations
47 papers, 256 citations indexed

About

Manik Gupta is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Manik Gupta has authored 47 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Manik Gupta's work include Energy Efficient Wireless Sensor Networks (7 papers), Video Coding and Compression Technologies (5 papers) and IoT and Edge/Fog Computing (5 papers). Manik Gupta is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Video Coding and Compression Technologies (5 papers) and IoT and Edge/Fog Computing (5 papers). Manik Gupta collaborates with scholars based in India, United Kingdom and Australia. Manik Gupta's co-authors include Stephen Hailes, Hamid Omidvarborna, Prashant Kumar, Erick Giovani Sperandio Nascimento, Eliane Bodanese, Deborah Richards, Ashu M. G. Solo, Maitreyee Dey, Devendra Prasad and Sandra Dudley and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Manik Gupta

41 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manik Gupta India 9 72 54 45 44 37 47 256
Hasan J. Alyamani Saudi Arabia 9 82 1.1× 46 0.9× 51 1.1× 55 1.3× 21 0.6× 26 304
Przemysław Falkowski‐Gilski Poland 13 47 0.7× 86 1.6× 53 1.2× 63 1.4× 30 0.8× 43 358
Carlos M. Oppus Philippines 10 52 0.7× 63 1.2× 57 1.3× 73 1.7× 16 0.4× 41 313
Xueying Yu China 4 33 0.5× 57 1.1× 96 2.1× 31 0.7× 23 0.6× 7 301
Dhanalekshmi Gopinathan India 4 89 1.2× 38 0.7× 57 1.3× 42 1.0× 25 0.7× 14 252
Shudong Yang China 3 34 0.5× 59 1.1× 102 2.3× 34 0.8× 23 0.6× 4 286
João G. P. Rodrigues Portugal 9 95 1.3× 92 1.7× 25 0.6× 50 1.1× 23 0.6× 16 319
Tulsi Pawan Fowdur Mauritius 10 132 1.8× 140 2.6× 52 1.2× 42 1.0× 17 0.5× 71 293
Yongsung Kim South Korea 10 45 0.6× 142 2.6× 76 1.7× 44 1.0× 37 1.0× 34 330
Emir Husni Indonesia 10 90 1.3× 58 1.1× 28 0.6× 28 0.6× 33 0.9× 69 325

Countries citing papers authored by Manik Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Manik Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manik Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Manik Gupta. A scholar is included among the top collaborators of Manik Gupta 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 Manik Gupta. Manik Gupta 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.
Gupta, Manik, et al.. (2025). Detecting Deepfake Media with AI and ML. International Research Journal on Advanced Engineering Hub (IRJAEH). 3(2). 267–274.
2.
Banerjee, Ruma, et al.. (2025). Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources. Journal of Parallel and Distributed Computing. 203. 105103–105103. 2 indexed citations
3.
Gupta, Manik, et al.. (2025). TriMedPrompt: A unified prompting framework for realistic and layout-conformant clinical progress note synthesis. Journal of Biomedical Informatics. 171. 104927–104927.
4.
Gupta, Manik, et al.. (2024). An active learning enhanced data programming (ActDP) framework for ECG time series. Machine Learning Science and Technology. 5(3). 35016–35016. 2 indexed citations
5.
6.
Boo, Yee Ling, Manik Gupta, Weijia Zhang, & Philippe Fournier‐Viger. (2024). Special Issue Editorial on “The Innovative Use of Data Science to Transform How We Work and Live”. Data Science and Engineering. 9(1). 3–4.
7.
8.
Gupta, Manik, et al.. (2024). Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards. International Journal of Information Security. 23(3). 2043–2061. 5 indexed citations
9.
Gupta, Priyanka, et al.. (2024). A Comparative Study of Few-Shot Learning Methods for 1-D ECG Time-series Classification. 604–611. 1 indexed citations
10.
Gupta, Manik, et al.. (2023). Data programming enabled weak supervised labeling for ECG time series. Biomedical Signal Processing and Control. 87. 105540–105540. 5 indexed citations
11.
Gupta, Manik, et al.. (2022). Deep reinforcement learning based QoE-aware actor-learner architectures for video streaming in IoT environments. Computing. 104(7). 1527–1550. 13 indexed citations
12.
Gupta, Manik, et al.. (2022). SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming. 353–361. 9 indexed citations
13.
Gupta, Manik, et al.. (2021). The Impact of COVID-19 Epidemic on Indian Economy Unleashed By Machine Learning. IOP Conference Series Materials Science and Engineering. 1022(1). 12085–12085. 3 indexed citations
14.
Gupta, Manik, et al.. (2021). Anomaly Identification using Multimodal Physiological Signals on the Edge. 7–12. 4 indexed citations
15.
Rao, D.H., Manik Gupta, & H.C. Wood. (2021). Adaptive Inverse Control of Nonlinear Systems Using Dynamic Neural Networks. 1 indexed citations
16.
Gupta, Manik, et al.. (2016). A coverage hole healing scheme to reduce the impact of coverage holes in a wireless sensor network. International Conference on Computing for Sustainable Global Development. 2959–2965. 1 indexed citations
17.
Gupta, Manik, et al.. (2014). An eigendecomposition based adaptive spatial sampling technique for wireless sensor networks. 430–433. 1 indexed citations
18.
Gupta, Manik & Eliane Bodanese. (2012). Towards the Design of a Component-based Context-Aware Framework for Wireless Sensor Networks. 101–105. 1 indexed citations
19.
Gupta, Manik, et al.. (2011). Design and evaluation of an adaptive sampling strategy for a wireless air pollution sensor network. 1003–1010. 20 indexed citations
20.
Prasad, Devendra, et al.. (2011). A Reliable Security Model Irrespective of Energy Constraints in Wireless Sensor Networks. International Journal of Advanced Computer Science and Applications. 2(4). 4 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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