A. Harshavardhan

683 total citations
33 papers, 395 citations indexed

About

A. Harshavardhan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, A. Harshavardhan has authored 33 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in A. Harshavardhan's work include Brain Tumor Detection and Classification (4 papers), IoT and Edge/Fog Computing (3 papers) and Advanced Neural Network Applications (3 papers). A. Harshavardhan is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), IoT and Edge/Fog Computing (3 papers) and Advanced Neural Network Applications (3 papers). A. Harshavardhan collaborates with scholars based in India, Ghana and United States. A. Harshavardhan's co-authors include S. Neelakandan, E. C. G. Sudarshan, Dadi Ramesh, Sallauddin Mohmmad, Shabana Shabana, M. Prakash, J. Rene Beulah, Bonthala Prabhanjan Yadav, Ranjan Walia and S Raghavendra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and IEEE Access.

In The Last Decade

A. Harshavardhan

24 papers receiving 294 citations

Peers

A. Harshavardhan
Saima Anwar Lashari Malaysia
Nasmin Jiwani United States
Atifa Athar Pakistan
Muhammad Sheraz Arshad Malik Pakistan
A. Manikandan India
S. K. Srivatsa India
Jiangang Ma Australia
Minakshi Memoria India
Majed Aborokbah Saudi Arabia
Romana Talat Pakistan
Saima Anwar Lashari Malaysia
A. Harshavardhan
Citations per year, relative to A. Harshavardhan A. Harshavardhan (= 1×) peers Saima Anwar Lashari

Countries citing papers authored by A. Harshavardhan

Since Specialization
Citations

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

Fields of papers citing papers by A. Harshavardhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Harshavardhan

This figure shows the co-authorship network connecting the top 25 collaborators of A. Harshavardhan. A scholar is included among the top collaborators of A. Harshavardhan 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 A. Harshavardhan. A. Harshavardhan 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.
Harshavardhan, A., et al.. (2024). Electrochemical Detection of Dopamine in the Presence of Uric Acid at Cerium Oxide and L-Tyrosine Mixture Modified Carbon Paste Electrode: A Cyclic Voltammetry Study. Journal of The Electrochemical Society. 171(1). 17506–17506. 1 indexed citations
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Harshavardhan, A.. (2024). Machine Learning Approaches of Lung Cancer Image Processing for Detecting and Identifying Various Stages of Analysis. Journal of Electrical Systems. 20(2s). 768–776. 1 indexed citations
4.
Harshavardhan, A., et al.. (2024). Hybrid deep learning-based air pollution prediction and index classification using an optimization algorithm. AIMS environmental science. 11(4). 551–575.
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Harshavardhan, A., et al.. (2023). Deep learning modified neural networks with chicken swarm optimization-based lungs disease detection and severity classification. Journal of Electronic Imaging. 32(6). 6 indexed citations
9.
Harshavardhan, A., et al.. (2022). LSGDM with Biogeography-Based Optimization (BBO) Model for Healthcare Applications. Journal of Healthcare Engineering. 2022. 1–11. 26 indexed citations
10.
Harshavardhan, A., et al.. (2022). IoT Based Disease Prediction Using Mapreduce and LSQN3 Techniques. Intelligent Automation & Soft Computing. 34(2). 1215–1230. 8 indexed citations
11.
Patel, Apurva, et al.. (2021). Impact of nationwide lockdown on cancer care during COVID-19 pandemic: A retrospective analysis from western India. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 15(4). 102131–102131. 11 indexed citations
12.
Beulah, J. Rene, et al.. (2021). An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM. Concurrent Engineering. 29(4). 386–395. 62 indexed citations
13.
Harshavardhan, A., et al.. (2021). Music Genre Categorization using Machine learning Algorithms. 1–4. 3 indexed citations
14.
Sudarshan, E. C. G., et al.. (2020). IoT Based Smart Solar Atmospheric Water Harvesting System. IOP Conference Series Materials Science and Engineering. 981. 42004–42004. 46 indexed citations
15.
Mohmmad, Sallauddin, et al.. (2020). Cost function for delay (CFD) in software defined network with fog computing and associated IoT application. IOP Conference Series Materials Science and Engineering. 981(3). 32097–32097.
16.
Ramesh, Dadi, et al.. (2020). Cardiovascular disease prediction using deep learning techniques. IOP Conference Series Materials Science and Engineering. 981(2). 22006–22006. 67 indexed citations
17.
Harshavardhan, A., et al.. (2019). Design Mathods for Detecting Sensor Node Failure and Node Scheduling Scheme for WSN. International Journal of Engineering and Advanced Technology. 9(1). 5430–5433. 4 indexed citations
18.
Harshavardhan, A.. (2019). TECHNIQUES USED FOR CLUSTERING DATA AND INTEGRATING CLUSTER ANALYSIS WITHIN MATHEMATICAL PROGRAMMING. JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES. 14(6). 12 indexed citations
19.
Harshavardhan, A.. (2017). AN EFFECTIVE IMPLEMENTATION OF FAULTY NODE DETECTION IN MOBILE WIRELESS NETWORK. International Journal of Advanced Research in Computer Science. 8(8). 705–708. 6 indexed citations
20.
Harshavardhan, A., et al.. (2017). An Improved Brain Tumor Segmentation Method from MRI Brain Images. 6. 1–7. 15 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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