Anand Panangadan

983 total citations
60 papers, 623 citations indexed

About

Anand Panangadan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anand Panangadan has authored 60 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anand Panangadan's work include Energy Efficient Wireless Sensor Networks (9 papers), Time Series Analysis and Forecasting (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Anand Panangadan is often cited by papers focused on Energy Efficient Wireless Sensor Networks (9 papers), Time Series Analysis and Forecasting (8 papers) and Sentiment Analysis and Opinion Mining (4 papers). Anand Panangadan collaborates with scholars based in United States, Brazil and China. Anand Panangadan's co-authors include Valerie Poynor, Rishabh Sharma, Archana J. McEligot, Ashit Talukder, Viktor K. Prasanna, Gaurav S. Sukhatme, Charalampos Chelmis, Ken B. Cooper, Imran Mehdi and Peter H. Siegel and has published in prestigious journals such as Nutrients, IEEE Sensors Journal and Engineering Applications of Artificial Intelligence.

In The Last Decade

Anand Panangadan

56 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anand Panangadan United States 11 122 99 73 73 66 60 623
Dhirendra Pratap Singh India 11 71 0.6× 93 0.9× 105 1.4× 37 0.5× 100 1.5× 62 456
Junwei Hu China 13 228 1.9× 71 0.7× 67 0.9× 27 0.4× 42 0.6× 41 734
Xiaofeng Zou China 14 117 1.0× 204 2.1× 73 1.0× 35 0.5× 144 2.2× 70 910
Xiangxiang Xu China 18 314 2.6× 104 1.1× 68 0.9× 150 2.1× 77 1.2× 84 1.0k
Ming Ni China 15 137 1.1× 82 0.8× 22 0.3× 134 1.8× 96 1.5× 95 878
Li Ruan China 15 108 0.9× 146 1.5× 394 5.4× 94 1.3× 71 1.1× 126 1.1k
Shaobing Chen China 8 65 0.5× 58 0.6× 26 0.4× 88 1.2× 158 2.4× 12 688
Fangyue Chen China 14 50 0.4× 110 1.1× 115 1.6× 39 0.5× 45 0.7× 95 599
Ke Chen China 19 80 0.7× 225 2.3× 99 1.4× 21 0.3× 71 1.1× 69 994
Yuan Jiang China 18 265 2.2× 318 3.2× 125 1.7× 60 0.8× 181 2.7× 115 1.3k

Countries citing papers authored by Anand Panangadan

Since Specialization
Citations

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

Fields of papers citing papers by Anand Panangadan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Panangadan

This figure shows the co-authorship network connecting the top 25 collaborators of Anand Panangadan. A scholar is included among the top collaborators of Anand Panangadan 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 Anand Panangadan. Anand Panangadan 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.
Henwood, Benjamin F., et al.. (2024). Examining the potential use of technology in permanent supportive housing. Journal of Social Distress and the Homeless. 34(1). 63–70. 1 indexed citations
2.
Panangadan, Anand, et al.. (2024). Is a poster a strong signal of film quality? evaluating the predictive power of visual elements using deep learning. Multimedia Tools and Applications. 84(23). 26877–26905.
3.
George, Kiran, et al.. (2023). Smart Pill Dispenser with Smart Cup. 598–604. 2 indexed citations
4.
Panangadan, Anand, et al.. (2022). Few-shot Time-Series Forecasting with Application for Vehicular Traffic Flow. 20–26. 2 indexed citations
5.
McEligot, Archana J., Valerie Poynor, Rishabh Sharma, & Anand Panangadan. (2020). Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients. 12(9). 2652–2652. 201 indexed citations
6.
Panangadan, Anand, et al.. (2020). Optimization framework and clustering-based algorithm for energy-aware adaptive sensing. Engineering Applications of Artificial Intelligence. 95. 103841–103841. 1 indexed citations
7.
Harris, Greg, Anand Panangadan, & Viktor K. Prasanna. (2016). GPU-Accelerated Parameter Optimization for Classification Rule Learning.. The Florida AI Research Society. 436–441. 1 indexed citations
8.
Szekely, Pedro, et al.. (2015). Personalized trip planning by integrating multimodal user-generated content. 3. 381–388. 1 indexed citations
9.
Zhang, Yinuo, et al.. (2015). Integration of Heterogeneous Web Services for Event-Based Social Networks. 57–63. 2 indexed citations
10.
Panangadan, Anand, et al.. (2015). Predicting Compressor Valve Failures from Multi-Sensor Data. SPE Western Regional Meeting. 9 indexed citations
11.
Panangadan, Anand, et al.. (2014). Extracting discriminative features for event-based electricity disaggregation. 232–238. 26 indexed citations
12.
Panangadan, Anand, et al.. (2014). Semantic management of Enterprise Integration Patterns: A use case in Smart Grids. 50–55. 5 indexed citations
13.
14.
Panangadan, Anand, et al.. (2009). Poster abstract: MDP framework for sensor network coordination. Information Processing in Sensor Networks. 377–378. 5 indexed citations
15.
Talukder, Ashit & Anand Panangadan. (2009). Online visualization of adaptive distributed sensor webs. 13. 1–8. 3 indexed citations
16.
Panangadan, Anand, Shen-Shyang Ho, & Ashit Talukder. (2009). Cyclone tracking using multiple satellite image sources. 428–431. 3 indexed citations
17.
Panangadan, Anand, Syed Muhammad Ali, & Ashit Talukder. (2005). Markov decision processes for control of a sensor network-based health monitoring system. Innovative Applications of Artificial Intelligence. 1529–1534. 18 indexed citations
18.
Talukder, Ashit, et al.. (2005). Optimal sensor scheduling and power management in sensor networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5816. 221–221. 8 indexed citations
19.
20.
Panangadan, Anand & Michael G. Dyer. (2002). Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World. International Conference on Machine Learning. 474–481. 1 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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