Srinivas Koppu

1.2k total citations · 1 hit paper
22 papers, 760 citations indexed

About

Srinivas Koppu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Srinivas Koppu has authored 22 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Srinivas Koppu's work include Blockchain Technology Applications and Security (5 papers), AI in cancer detection (4 papers) and IoT and Edge/Fog Computing (4 papers). Srinivas Koppu is often cited by papers focused on Blockchain Technology Applications and Security (5 papers), AI in cancer detection (4 papers) and IoT and Edge/Fog Computing (4 papers). Srinivas Koppu collaborates with scholars based in India, Canada and Taiwan. Srinivas Koppu's co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Chiranji Lal Chowdhary, Mamoun Alazab, M. Parimala, Gautam Srivastava, M. Iyapparaja, Siva Rama Krishnan Somayaji, M. K. Nallakaruppan and Rajeswari Chengoden and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Srinivas Koppu

22 papers receiving 721 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.

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

2020 328 citations Praveen Kumar Reddy Maddikunta, M. Parimala et al. Computer Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Srinivas Koppu India	11	301	286	159	136	95	22	760
Mesfer Al Duhayyim Saudi Arabia	16	248 0.8×	320 1.1×	121 0.8×	114 0.8×	144 1.5×	136	958
Ezz El‐Din Hemdan Egypt	22	184 0.6×	282 1.0×	236 1.5×	182 1.3×	222 2.3×	70	1.2k
Revathi Sundarasekar India	8	245 0.8×	217 0.8×	206 1.3×	51 0.4×	138 1.5×	9	808
Pravin R. Kshirsagar India	19	200 0.7×	185 0.6×	143 0.9×	75 0.6×	57 0.6×	61	807
Saadaldeen Rashid Ahmed Iraq	22	345 1.1×	234 0.8×	252 1.6×	135 1.0×	189 2.0×	78	1.0k
Roohie Naaz Mir India	14	381 1.3×	174 0.6×	226 1.4×	98 0.7×	234 2.5×	85	939
K. Vijayakumar India	18	244 0.8×	342 1.2×	194 1.2×	70 0.5×	106 1.1×	73	980
Salil Bharany India	18	602 2.0×	302 1.1×	339 2.1×	112 0.8×	125 1.3×	113	1.3k
Hairulnizam Mahdin Malaysia	16	259 0.9×	166 0.6×	129 0.8×	73 0.5×	121 1.3×	100	850
Ahmad Ali AlZubi Saudi Arabia	18	374 1.2×	214 0.7×	250 1.6×	59 0.4×	158 1.7×	91	1.1k

Countries citing papers authored by Srinivas Koppu

Since Specialization

Citations

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

Fields of papers citing papers by Srinivas Koppu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Koppu

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

Supriya, Y., Sweta Bhattacharya, Thippa Reddy Gadekallu, et al.. (2024). Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions. IEEE Access. 12. 81938–81967. 9 indexed citations

Koppu, Srinivas, et al.. (2024). A Multi-Objective Derived Adaptive TransDeepLabv3 Using Electric Fish Optimization Algorithm for Aerial Image Semantic Segmentation. IEEE Access. 12. 147723–147738. 2 indexed citations

Krithika, L. B., et al.. (2024). A Framework for Platform-Agnostic Blockchain and IoT Based Insurance System. IEEE Access. 12. 64079–64102. 4 indexed citations

Koppu, Srinivas, et al.. (2023). Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images. Sensors. 23(11). 5316–5316. 2 indexed citations

Karuna, Yepuganti, et al.. (2023). Segmentation and Analysis Emphasizing Neonatal MRI Brain Images Using Machine Learning Techniques. Mathematics. 11(2). 285–285. 17 indexed citations

Koppu, Srinivas, et al.. (2023). Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework. IEEE Access. 11. 61866–61880. 23 indexed citations

Bhattacharya, Sweta, Rajesh Kaluri, Srinivas Koppu, et al.. (2023). Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning. 602–608. 2 indexed citations

Alazab, Mamoun, Latif U. Khan, Srinivas Koppu, et al.. (2022). Digital Twins for Healthcare 4.0—Recent Advances, Architecture, and Open Challenges. IEEE Consumer Electronics Magazine. 12(6). 29–37. 84 indexed citations

Gadekallu, Thippa Reddy, Gautam Srivastava, Madhusanka Liyanage, et al.. (2022). Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network. Computers & Electrical Engineering. 100. 107836–107836. 53 indexed citations

10.

Rupa, Ch., et al.. (2022). Medicine Drug Name Detection Based Object Recognition Using Augmented Reality. Frontiers in Public Health. 10. 881701–881701. 6 indexed citations

11.

Koppu, Srinivas, et al.. (2022). An empirical study to demonstrate that EdDSA can be used as a performance improvement alternative to ECDSA in Blockchain and IoT. Informatica. 46(2). 5 indexed citations

12.

Chowdhary, Chiranji Lal, Neelu Khare, Harshita Patel, et al.. (2022). Past, present and future of gene feature selection for breast cancer classification – a survey. International Journal of Engineering Systems Modelling and Simulation. 13(2). 140–140. 8 indexed citations

13.

Somayaji, Siva Rama Krishnan, et al.. (2022). Smart Water Resource Management Using Artificial Intelligence—A Review. Sustainability. 14(20). 13384–13384. 95 indexed citations

14.

Rajput, Dharmendra Singh, Srinivas Koppu, Rajesh Kaluri, et al.. (2022). Past, present and future of gene feature selection for breast cancer classification - a survey. International Journal of Engineering Systems Modelling and Simulation. 13(2). 1–1. 2 indexed citations

15.

Koppu, Srinivas, et al.. (2021). High-performance Edwards curve aggregate signature (HECAS) for nonrepudiation in IoT-based applications built on the blockchain ecosystem. Journal of King Saud University - Computer and Information Sciences. 34(10). 9677–9687. 18 indexed citations

16.

Koppu, Srinivas, Praveen Kumar Reddy Maddikunta, & Gautam Srivastava. (2020). Deep learning disease prediction model for use with intelligent robots. Computers & Electrical Engineering. 87. 106765–106765. 30 indexed citations

17.

Koppu, Srinivas, et al.. (2020). EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain. IEEE Access. 8. 141269–141281. 37 indexed citations

18.

Maddikunta, Praveen Kumar Reddy, M. Parimala, Srinivas Koppu, et al.. (2020). An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture. Computer Communications. 160. 139–149. 328 indexed citations breakdown →

19.

Maddikunta, Praveen Kumar Reddy, et al.. (2020). Automated category Text identification using Machine Learning. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 22. 1–4. 3 indexed citations

20.

Gunavathi, C., et al.. (2017). 3D reconstruction of a scene from multiple 2D images. 8(12). 324–331. 5 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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