Anandakumar Haldorai

2.9k total citations · 1 hit paper
76 papers, 1.0k citations indexed

About

Anandakumar Haldorai is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Anandakumar Haldorai has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 23 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Anandakumar Haldorai's work include Smart Systems and Machine Learning (12 papers), Internet of Things and AI (10 papers) and IoT and Edge/Fog Computing (7 papers). Anandakumar Haldorai is often cited by papers focused on Smart Systems and Machine Learning (12 papers), Internet of Things and AI (10 papers) and IoT and Edge/Fog Computing (7 papers). Anandakumar Haldorai collaborates with scholars based in India, Malaysia and Taiwan. Anandakumar Haldorai's co-authors include Arulmurugan Ramu, Mussarat Yasmin, Muhammad Sharif, Javaria Amin, Suriya Murugan, P. Kalyanasundaram, Mohd Ashraf, Fursan Thabit, K. Umamaheswari and Sharaf A. Alhomdy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Anandakumar Haldorai

66 papers receiving 915 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.

Brain tumor detection and classification using machine learning: a comprehensive survey

2021 247 citations Anandakumar Haldorai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anandakumar Haldorai India	15	321	254	224	217	206	76	1.0k
Anand Paul South Korea	19	226 0.7×	279 1.1×	310 1.4×	220 1.0×	170 0.8×	73	1.2k
Denis A. Pustokhin Russia	19	328 1.0×	287 1.1×	362 1.6×	220 1.0×	77 0.4×	55	1.2k
Arpit Jain India	22	341 1.1×	315 1.2×	263 1.2×	247 1.1×	83 0.4×	100	1.4k
Sandeep Kumar India	23	224 0.7×	444 1.7×	341 1.5×	210 1.0×	86 0.4×	118	1.5k
Abul Bashar Saudi Arabia	17	243 0.8×	143 0.6×	156 0.7×	146 0.7×	66 0.3×	67	683
Shabana Habib Saudi Arabia	17	183 0.6×	287 1.1×	288 1.3×	110 0.5×	67 0.3×	53	873
M. Prakash India	22	512 1.6×	208 0.8×	374 1.7×	360 1.7×	76 0.4×	79	1.5k
Salabat Khan China	19	186 0.6×	227 0.9×	288 1.3×	137 0.6×	54 0.3×	60	946
Salil Bharany India	18	602 1.9×	125 0.5×	302 1.3×	339 1.6×	61 0.3×	113	1.3k
Omar Bouattane Morocco	18	141 0.4×	190 0.7×	342 1.5×	123 0.6×	92 0.4×	153	1.1k

Countries citing papers authored by Anandakumar Haldorai

Since Specialization

Citations

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

Fields of papers citing papers by Anandakumar Haldorai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anandakumar Haldorai

This figure shows the co-authorship network connecting the top 25 collaborators of Anandakumar Haldorai. A scholar is included among the top collaborators of Anandakumar Haldorai 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 Anandakumar Haldorai. Anandakumar Haldorai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Haldorai, Anandakumar, et al.. (2025). Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. Scientific Reports. 15(1). 11621–11621.

Zhang, Lei, Anandakumar Haldorai, & Nithesh Naik. (2024). GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. Scientific Reports. 14(1). 23278–23278.

Haldorai, Anandakumar, et al.. (2024). A Review on Smart Navigation Techniques for Automated Vehicle. EAI/Springer Innovations in Communication and Computing. 249–269. 2 indexed citations

Haldorai, Anandakumar, et al.. (2024). Artificial Intelligence for Sustainable Development. EAI/Springer Innovations in Communication and Computing. 4 indexed citations

Haldorai, Anandakumar, et al.. (2024). Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution. IET Information Security. 2024(1).

Na, In Seop, Anandakumar Haldorai, & Nithesh Naik. (2024). Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security. IEEE Access. 13. 2215–2228. 1 indexed citations

Shanmugasundar, G., et al.. (2024). Marine Ecosystem Monitoring Based on Remote Sensing Using Underwater Image Analysis for Biodiversity Conservation Model. Remote Sensing in Earth Systems Sciences. 7(4). 309–318. 1 indexed citations

Sangaiah, Arun Kumar, et al.. (2023). Investigating Routing in the VANET Network: Review and Classification of Approaches. Algorithms. 16(8). 381–381. 10 indexed citations

Haldorai, Anandakumar, et al.. (2023). Analysis of taskable mobile IoT sensing systems for coverage and throughput. International Journal of Systems Assurance Engineering and Management. 4 indexed citations

10.

Haldorai, Anandakumar, et al.. (2023). Advanced Communication in Cyber Physical System Infrastructure, Protocols, and Challenges. 1–10. 2 indexed citations

11.

Singh, Bipin Kumar, et al.. (2023). Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052. Defence Science Journal. 73(3). 341–350. 6 indexed citations

12.

Sujihelen, L., et al.. (2022). Node Replication Attack Detection in Distributed Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2022(1). 35 indexed citations

13.

Haldorai, Anandakumar, et al.. (2022). Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis. Applied Computational Intelligence and Soft Computing. 2022. 1–14. 12 indexed citations

14.

Ayub, Shahanaz, et al.. (2022). Health Index Estimation of Wind Power Plant Using Neurofuzzy Modeling. Computational and Mathematical Methods in Medicine. 2022. 1–8. 4 indexed citations

15.

Haldorai, Anandakumar, et al.. (2022). A Supervised Machine Learning Model for Tool Condition Monitoring in Smart Manufacturing. Defence Science Journal. 72(5). 712–720. 18 indexed citations

16.

Suresh, P., et al.. (2022). Autonomous navigation system based on a dynamic access control architecture for the internet of vehicles. Computers & Electrical Engineering. 101. 108037–108037. 11 indexed citations

17.

Ayub, Shahanaz, et al.. (2022). Hybrid approach to implement multi‐robotic navigation system using neural network, fuzzy logic, and bio‐inspired optimization methodologies. Computational Intelligence. 39(4). 592–606. 12 indexed citations

18.

Ashraf, Mohd, et al.. (2022). Defining multiple geometrical areas with modeling of elementary geometrical volumes in robot-environment interaction. International Journal of Systems Assurance Engineering and Management. 3 indexed citations

19.

Haldorai, Anandakumar & Arulmurugan Ramu. (2020). Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability. Neural Processing Letters. 53(4). 2385–2401. 104 indexed citations

20.

Ramu, Arulmurugan, et al.. (2018). Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm. EAI Endorsed Transactions on Energy Web. 164177–164177. 66 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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