Hanumat Sastry G

617 total citations
27 papers, 329 citations indexed

About

Hanumat Sastry G is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hanumat Sastry G has authored 27 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Hanumat Sastry G's work include Network Security and Intrusion Detection (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Hanumat Sastry G is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Hanumat Sastry G collaborates with scholars based in India and Saudi Arabia. Hanumat Sastry G's co-authors include Akashdeep Bhardwaj, Manish Prateek, Ravi Tomar, Hammam Alshazly, Madhushi Verma, Manjit Kaur, Sahar Ahmed Idris, Sunil Kumar, Sunil Kumar and Bhupesh Kumar Dewangan and has published in prestigious journals such as Neural Computing and Applications, Frontiers in Public Health and Electronics.

In The Last Decade

Hanumat Sastry G

25 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanumat Sastry G India 10 179 143 113 86 68 27 329
Khalid Ali Almarhabi Saudi Arabia 10 137 0.8× 86 0.6× 174 1.5× 38 0.4× 21 0.3× 31 297
Sarhad Arisdakessian United Arab Emirates 7 154 0.9× 137 1.0× 70 0.6× 37 0.4× 36 0.5× 11 265
Yuanwei Zhu China 7 120 0.7× 100 0.7× 89 0.8× 27 0.3× 62 0.9× 10 286
Habiba Chaoui Morocco 10 164 0.9× 116 0.8× 103 0.9× 62 0.7× 41 0.6× 52 279
Ogobuchi Daniel Okey Brazil 9 148 0.8× 143 1.0× 40 0.4× 75 0.9× 22 0.3× 23 290
Farzaneh Shoeleh Canada 9 130 0.7× 159 1.1× 81 0.7× 98 1.1× 17 0.3× 18 304
Sk. Tanzir Mehedi Bangladesh 6 200 1.1× 157 1.1× 61 0.5× 87 1.0× 55 0.8× 14 279
Hui Wen China 11 129 0.7× 115 0.8× 94 0.8× 62 0.7× 32 0.5× 41 304
N. Jeyanthi India 11 268 1.5× 165 1.2× 260 2.3× 87 1.0× 31 0.5× 61 462
Raed Alsaqour Saudi Arabia 8 135 0.8× 88 0.6× 65 0.6× 31 0.4× 54 0.8× 16 242

Countries citing papers authored by Hanumat Sastry G

Since Specialization
Citations

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

Fields of papers citing papers by Hanumat Sastry G

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanumat Sastry G. 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 Hanumat Sastry G. The network helps show where Hanumat Sastry G may publish in the future.

Co-authorship network of co-authors of Hanumat Sastry G

This figure shows the co-authorship network connecting the top 25 collaborators of Hanumat Sastry G. A scholar is included among the top collaborators of Hanumat Sastry G 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 Hanumat Sastry G. Hanumat Sastry G 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.
G, Hanumat Sastry, et al.. (2024). Hybrid convolutional neural network approach for optimizing automatic identification of natural isotopes in gamma ray environmental sample spectra. Neural Computing and Applications. 36(31). 19585–19595. 1 indexed citations
2.
G, Hanumat Sastry, et al.. (2023). Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments. Electronics. 12(4). 894–894. 31 indexed citations
3.
G, Hanumat Sastry, et al.. (2023). Mathematical Modelling of Environmental Radiation Spectra using Convolutional Neural Networks (CNN). 9. 1–7. 1 indexed citations
4.
G, Hanumat Sastry, et al.. (2023). Visible property enhancement techniques of IoT cameras using machine learning techniques. International Journal of Nanotechnology. 20(5/6/7/8/9/10). 569–585. 1 indexed citations
5.
G, Hanumat Sastry, et al.. (2023). Identification of gamma emitting natural isotopes in environmental sample spectra: convolutional neural network approach. Journal of Radioanalytical and Nuclear Chemistry. 332(12). 5273–5281. 4 indexed citations
6.
G, Hanumat Sastry, et al.. (2022). A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes. Frontiers in Public Health. 9. 797877–797877. 15 indexed citations
7.
G, Hanumat Sastry, et al.. (2022). Ensemble Federated Learning for Classifying IoMT Data Streams. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). 1–5. 4 indexed citations
8.
Kumar, Sunil, et al.. (2022). Information Extraction From the Agricultural and Weather Domains Using Deep Learning Approaches. International Journal of Software Innovation. 10(1). 1–12. 2 indexed citations
9.
Rose, Jeff, et al.. (2022). Credit Card Fraud Legal Advisor Tool Using Machine Learning. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–5.
10.
Kumar, Sunil, Hanumat Sastry G, Hammam Alshazly, et al.. (2021). DDoS Detection in SDN using Machine Learning Techniques. Computers, materials & continua/Computers, materials & continua (Print). 71(1). 771–789. 48 indexed citations
11.
Kumar, Sunil, Hanumat Sastry G, Hammam Alshazly, et al.. (2021). Semantic Information Extraction from Multi-Corpora Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 70(3). 5021–5038. 6 indexed citations
12.
Prateek, Manish, et al.. (2020). Swarm Intelligence Based Algorithm for Efficient Routing in VANET. International Journal of Innovative Technology and Exploring Engineering. 9(5). 1124–1136. 3 indexed citations
13.
Prateek, Manish, et al.. (2019). Swarm Intelligence based efficient routing algorithm for platooning in VANET through Ant Colony Optimization. International Journal of Innovative Technology and Exploring Engineering. 8(9). 1238–1244. 6 indexed citations
14.
Bhardwaj, Akashdeep, et al.. (2016). Three Tier Network Architecture to Mitigate DDoS Attacks on Hybrid Cloud Environments. 1–7. 2 indexed citations
15.
Bhardwaj, Akashdeep, et al.. (2016). Ransomware Digital Extortion: A Rising New Age Threat. Indian Journal of Science and Technology. 9(14). 39 indexed citations
16.
Bhardwaj, Akashdeep, et al.. (2016). DDoS attacks, new DDoS taxonomy and mitigation solutions — A survey. 793–798. 21 indexed citations
17.
Bhardwaj, Akashdeep, et al.. (2016). Solutions for DDoS attacks on cloud. 163–167. 4 indexed citations
18.
Bhardwaj, Akashdeep, et al.. (2016). Design a Resilient Network Infrastructure Security Policy Framework. Indian Journal of Science and Technology. 9(19). 5 indexed citations
19.
G, Hanumat Sastry, et al.. (2014). Personalized Information Retrieval Services for Digital Libraries. International Journal of Computer Applications. 97(11). 33–35. 1 indexed citations
20.
G, Hanumat Sastry, et al.. (2011). User Interface Design Challenges for Digital Libraries. International Journal of Computer Applications. 15(6). 7–13. 9 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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