R Harikrishnan

1.1k total citations
103 papers, 663 citations indexed

About

R Harikrishnan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Plant Science. According to data from OpenAlex, R Harikrishnan has authored 103 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 17 papers in Computer Networks and Communications and 13 papers in Plant Science. Recurrent topics in R Harikrishnan's work include Smart Agriculture and AI (12 papers), IoT-based Smart Home Systems (10 papers) and Advanced Battery Technologies Research (7 papers). R Harikrishnan is often cited by papers focused on Smart Agriculture and AI (12 papers), IoT-based Smart Home Systems (10 papers) and Advanced Battery Technologies Research (7 papers). R Harikrishnan collaborates with scholars based in India, United States and Malaysia. R Harikrishnan's co-authors include Shivali Amit Wagle, Ketan Kotecha, Sawal Hamid Md Ali, M. Kalaiselvi Geetha, Unnikrishnan Payyappallimana, Debra A. Stern, Michael Kabesch, Penelope E. Graves, Anne L. Wright and Lizhi Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Neurology.

In The Last Decade

R Harikrishnan

83 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Harikrishnan India 13 173 125 87 67 62 103 663
S. Ramesh India 19 165 1.0× 302 2.4× 92 1.1× 12 0.2× 136 2.2× 70 1.1k
Michael H. Zhang United States 13 381 2.2× 116 0.9× 402 4.6× 30 0.4× 20 0.3× 30 1.3k
Tuan Le United States 12 110 0.6× 36 0.3× 129 1.5× 15 0.2× 27 0.4× 35 532
Kaiyue Liu China 19 58 0.3× 308 2.5× 30 0.3× 9 0.1× 44 0.7× 63 1.2k
Yunji Wang China 17 32 0.2× 35 0.3× 90 1.0× 48 0.7× 27 0.4× 37 730
Junli Chen China 20 61 0.4× 31 0.2× 24 0.3× 19 0.3× 50 0.8× 123 1.1k
Mona Soliman Egypt 17 26 0.2× 159 1.3× 18 0.2× 51 0.8× 123 2.0× 102 1.1k
Wen Chen China 17 113 0.7× 8 0.1× 113 1.3× 74 1.1× 117 1.9× 73 1.1k
T. Vijayakumar India 12 45 0.3× 49 0.4× 42 0.5× 7 0.1× 131 2.1× 41 538

Countries citing papers authored by R Harikrishnan

Since Specialization
Citations

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

Fields of papers citing papers by R Harikrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Harikrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of R Harikrishnan. A scholar is included among the top collaborators of R Harikrishnan 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 R Harikrishnan. R Harikrishnan 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.
Harikrishnan, R, et al.. (2025). Comparative Analysis of Machine Learning Models for Crop Yield Prediction Across Multiple Crop Types. SN Computer Science. 6(1). 7 indexed citations
3.
Harikrishnan, R, et al.. (2024). Robust Object Segmentation using 3D Mesh Models and Self-Supervised Learning. Procedia Computer Science. 235. 907–915.
4.
Wagle, Shivali Amit, R Harikrishnan, & Ketan Kotecha. (2024). Bilinear LSTM with Bayesian Gaussian Optimization for Predicting Tomato Plant Disease Using Meteorological Parameters. Ingénierie des systèmes d information. 29(2). 479–492. 1 indexed citations
5.
Harikrishnan, R, et al.. (2024). Short‐Term Electricity Price Forecasting Using the Empirical Mode Decomposed Hilbert‐LSTM and Wavelet‐LSTM Models. Journal of Electrical and Computer Engineering. 2024(1). 1 indexed citations
6.
Sundararajan, S., et al.. (2024). Predicting enhanced diagnostic models: deep learning for multi-label retinal disease classification. IAES International Journal of Artificial Intelligence. 14(1). 54–54.
7.
Harikrishnan, R, et al.. (2024). Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques. Scientific Reports. 14(1). 22891–22891. 4 indexed citations
8.
Harikrishnan, R, et al.. (2024). Energy consumption optimization of chiller plants with the genetic algorithm based GWO and JAYA algorithm in the dynamic pricing demand response. Results in Engineering. 22. 102193–102193. 9 indexed citations
9.
Deshpande, S. D., et al.. (2024). Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration. SHILAP Revista de lepidopterología. 4. 156–173. 2 indexed citations
11.
Harikrishnan, R, et al.. (2024). The improved integrated Exponential Smoothing based CNN-LSTM algorithm to forecast the day ahead electricity price. MethodsX. 13. 102923–102923. 5 indexed citations
13.
Wagle, Shivali Amit, et al.. (2023). Impact of “COVID-19 Pandemic” on Children Online Education: A Review and Bibliometric Analysis. Lecture notes in networks and systems. 313–326.
14.
Harikrishnan, R, et al.. (2023). A Systematic Literature Review of State of Health and State of Charge Estimation Methods for Batteries Used in Electric Vehicle Applications. World Electric Vehicle Journal. 14(9). 247–247. 10 indexed citations
15.
Harikrishnan, R, et al.. (2022). Analysis of Electric Vehicle Battery State Estimation Using Scopus and Web of Science Databases from 2000 to 2021: A Bibliometric Study. World Electric Vehicle Journal. 13(8). 157–157. 3 indexed citations
16.
Harikrishnan, R, et al.. (2022). If Nothing Goes Right, It Goes to the Left. Annals of Indian Academy of Neurology. 25(2). 298–300.
17.
Krishnamoorthy, Soumya, PN Sylaja, Sapna Erat Sreedharan, et al.. (2022). Biomarkers predict hemorrhagic transformation and stroke severity after acute ischemic stroke. Journal of Stroke and Cerebrovascular Diseases. 32(1). 106875–106875. 8 indexed citations
18.
Harikrishnan, R, Sapna Erat Sreedharan, Santhosh Kumar Kannath, et al.. (2022). Does thrombus imaging characteristics predict the degree of recanalisation after endovascular thrombectomy in acute ischaemic stroke?. Journal of Stroke and Cerebrovascular Diseases. 31(9). 106621–106621. 4 indexed citations
19.
Wagle, Shivali Amit, et al.. (2021). Classification of Plant Leaves Using New Compact Convolutional Neural Network Models. Plants. 11(1). 24–24. 41 indexed citations
20.
Cameron, Lisa, Patricia Kiesler, Michael Kabesch, et al.. (2006). Th2 Cell-Selective Enhancement of Human IL13 Transcription by IL13 -1112C>T, a Polymorphism Associated with Allergic Inflammation. The Journal of Immunology. 177(12). 8633–8642. 96 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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