Anand Panangadan

86 total papers · 972 total citations
60 papers, 615 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 615 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 Context-Aware Activity Recognition Systems (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 Context-Aware Activity Recognition Systems (4 papers). Anand Panangadan collaborates with scholars based in United States, China and Brazil. Anand Panangadan's co-authors include Rishabh Sharma, Archana J. McEligot, Valerie Poynor, Ashit Talukder, Viktor K. Prasanna, Gaurav S. Sukhatme, Charalampos Chelmis, Imran Mehdi, Peter H. Siegel and Ken B. Cooper and has published in prestigious journals such as Nutrients, IEEE Sensors Journal and Engineering Applications of Artificial Intelligence.

In The Last Decade

Anand Panangadan

55 papers receiving 591 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anand Panangadan	121	99	73	72	66	60	615
Xu Lu	86 0.7×	91 0.9×	74 1.0×	40 0.6×	136 2.1×	52	525
Shaokun Wang	70 0.6×	71 0.7×	92 1.3×	57 0.8×	26 0.4×	68	607
Haipeng Wang	89 0.7×	42 0.4×	43 0.6×	136 1.9×	107 1.6×	92	689
Yu‐Lin Wei	314 2.6×	33 0.3×	30 0.4×	50 0.7×	90 1.4×	44	606
Sibo Qiao	55 0.5×	144 1.5×	95 1.3×	32 0.4×	111 1.7×	83	570
Jingyu Zhang	199 1.6×	105 1.1×	158 2.2×	34 0.5×	105 1.6×	45	694
Xiqing Liu	304 2.5×	45 0.5×	135 1.8×	57 0.8×	25 0.4×	73	665
Wenli Shang	126 1.0×	113 1.1×	134 1.8×	49 0.7×	33 0.5×	73	544
Yuting Sun	164 1.4×	100 1.0×	39 0.5×	59 0.8×	73 1.1×	56	663
Jingwen Huang	67 0.6×	78 0.8×	40 0.5×	28 0.4×	19 0.3×	53	524

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

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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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