Dinesh Mavaluru

718 total citations
37 papers, 462 citations indexed

About

Dinesh Mavaluru is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Dinesh Mavaluru has authored 37 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 6 papers in Information Systems. Recurrent topics in Dinesh Mavaluru's work include IoT and Edge/Fog Computing (5 papers), Artificial Intelligence in Healthcare (3 papers) and Spam and Phishing Detection (2 papers). Dinesh Mavaluru is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Artificial Intelligence in Healthcare (3 papers) and Spam and Phishing Detection (2 papers). Dinesh Mavaluru collaborates with scholars based in Saudi Arabia, India and United States. Dinesh Mavaluru's co-authors include Azath Mubarakali, Nilamadhab Mishra, Mazhar Abbas, Abdulrahman Saad Alqahtani, Dmitry Olegovich Bokov, Yasser Fakri Mustafa, D. Hemanand, Rustem Shichiyakh, Walid Kamal Abdelbasset and Abdol Ghaffar Ebadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Talanta.

In The Last Decade

Dinesh Mavaluru

35 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinesh Mavaluru Saudi Arabia 14 76 74 67 62 48 37 462
Devinder Kaur United States 13 66 0.9× 49 0.7× 211 3.1× 32 0.5× 37 0.8× 49 508
Alberto Ochoa Mexico 12 68 0.9× 60 0.8× 79 1.2× 95 1.5× 32 0.7× 112 544
Amit Saxena India 13 63 0.8× 76 1.0× 112 1.7× 43 0.7× 12 0.3× 82 537
Amit Kumar Goel India 11 58 0.8× 73 1.0× 160 2.4× 56 0.9× 94 2.0× 65 653
Khalid Almohammadi Saudi Arabia 9 112 1.5× 70 0.9× 203 3.0× 44 0.7× 54 1.1× 23 648
Alican Doğan Türkiye 4 48 0.6× 64 0.9× 162 2.4× 22 0.4× 26 0.5× 6 554
Ting-Cheng Chang China 10 103 1.4× 79 1.1× 93 1.4× 65 1.0× 12 0.3× 58 512
Ying Meng China 12 40 0.5× 43 0.6× 82 1.2× 39 0.6× 43 0.9× 57 518
Amira Bibo Sallow Iraq 12 64 0.8× 111 1.5× 107 1.6× 76 1.2× 27 0.6× 46 548
Yuchen Wang China 14 40 0.5× 37 0.5× 80 1.2× 43 0.7× 28 0.6× 92 644

Countries citing papers authored by Dinesh Mavaluru

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Mavaluru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Mavaluru

This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Mavaluru. A scholar is included among the top collaborators of Dinesh Mavaluru 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 Dinesh Mavaluru. Dinesh Mavaluru 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.
Mavaluru, Dinesh, et al.. (2024). Transforming groundwater sustainability, management and development through deep learning. Groundwater for Sustainable Development. 27. 101366–101366. 4 indexed citations
2.
Anitha, G, et al.. (2024). Enhancing heat exchanger design using autoencoder model for predicting efficiency and cost in chemical processing. Case Studies in Thermal Engineering. 65. 105645–105645. 5 indexed citations
3.
Mavaluru, Dinesh, et al.. (2024). Deep hierarchical cluster analysis for assessing the water quality indicators for sustainable groundwater. Groundwater for Sustainable Development. 25. 101119–101119. 10 indexed citations
4.
Srinivas, T. Aditya Sai, et al.. (2024). Development and implementation of unmanned vehicles through artificial intelligence involving communication system with sensors and control parameters. Measurement Sensors. 33. 101136–101136. 1 indexed citations
5.
Mavaluru, Dinesh, et al.. (2023). Deep convolutional neural network based real-time abnormal behavior detection in social networks. Computers & Electrical Engineering. 111. 108987–108987. 6 indexed citations
6.
Malik, Varun, Ruchi Mittal, Dinesh Mavaluru, et al.. (2023). Building a Secure Platform for Digital Governance Interoperability and Data Exchange Using Blockchain and Deep Learning-Based Frameworks. IEEE Access. 11. 70110–70131. 24 indexed citations
7.
Abdelbasset, Walid Kamal, et al.. (2022). Smartphone based aptasensors as intelligent biodevice for food contamination detection in food and soil samples: Recent advances. Talanta. 252. 123769–123769. 39 indexed citations
8.
Raman, Ganesan, et al.. (2022). K-Means and Decision Tree Approach to Predict the Severity of Diabetes Cases. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 12. 1–5.
9.
Syah, Rahmad, Marischa Elveny, John William Grimaldo Guerrero, et al.. (2022). Optimizing the Multi-Level Location-Assignment Problem in Queue Networks Using a Multi-Objective Optimization Approach. Foundations of Computing and Decision Sciences. 47(2). 177–192. 1 indexed citations
10.
Mavaluru, Dinesh, et al.. (2022). A systematic review of artificial intelligence for pediatric physiotherapy practice: Past, present, and future. SHILAP Revista de lepidopterología. 2(4). 100045–100045. 22 indexed citations
11.
Mavaluru, Dinesh, et al.. (2021). Application of an Intelligent Hybrid Metaheuristic Algorithm for Multiobjective Redundancy Allocation Problem with Sustainable Maintenance. Mathematical Problems in Engineering. 2021. 1–12. 1 indexed citations
12.
Mavaluru, Dinesh, et al.. (2020). Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network. Neural Computing and Applications. 34(16). 13439–13453. 14 indexed citations
13.
14.
Mavaluru, Dinesh, et al.. (2020). Opinion Mining using Machine Learning Approaches: A Critical Study. 2. 1–4. 4 indexed citations
15.
Dhanapal, R., et al.. (2019). A Cost-Aware Method for Tasks Allocation on the Internet of Things by Grouping the Submitted Tasks. 網際網路技術學刊. 20(7). 2055–2062. 4 indexed citations
16.
Ebadi, Abdol Ghaffar, et al.. (2019). Parameter derivation of a proton exchange membrane fuel cell based on coevolutionary ribonucleic acid genetic algorithm. Computational Intelligence. 35(4). 1021–1041. 13 indexed citations
17.
Mubarakali, Azath, M. Ashwin, Dinesh Mavaluru, & Dinesh Kumar Anguraj. (2019). Design an attribute based health record protection algorithm for healthcare services in cloud environment. Multimedia Tools and Applications. 79(5-6). 3943–3956. 17 indexed citations
18.
Ebadi, Abdol Ghaffar, et al.. (2019). Application of new optimisation model for multi-chiller system consumption. International Journal of Ambient Energy. 42(16). 1851–1863. 2 indexed citations
19.
Yin, Wanjun, et al.. (2019). Application of new multi-objective optimization algorithm for EV scheduling in smart grid through the uncertainties. Journal of Ambient Intelligence and Humanized Computing. 11(5). 2071–2103. 21 indexed citations
20.
Murlidhar, Bhatawdekar Ramesh, et al.. (2018). Prediction of rock interlocking by developing two hybrid models based on GA and fuzzy system. Engineering With Computers. 35(4). 1419–1430. 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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