G. Madhu

116 total papers · 1.3k total citations
69 papers, 1.0k citations indexed

About

G. Madhu is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, G. Madhu has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 12 papers in Industrial and Manufacturing Engineering and 7 papers in Radiological and Ultrasound Technology. Recurrent topics in G. Madhu's work include Water Quality Monitoring and Analysis (8 papers), Occupational Health and Safety Research (7 papers) and Adsorption and biosorption for pollutant removal (7 papers). G. Madhu is often cited by papers focused on Water Quality Monitoring and Analysis (8 papers), Occupational Health and Safety Research (7 papers) and Adsorption and biosorption for pollutant removal (7 papers). G. Madhu collaborates with scholars based in India, United States and South Africa. G. Madhu's co-authors include Krishnaraj Padmavathy, H. Vijith, M. Bhasi, R. P. Praveen, G. R. Bindu, V P Jagathy Raj, V. R. Renjith, B. Bindhu, Deepak Kumar Sahoo and M. V. Ninu Krishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and IEEE Transactions on Industrial Electronics.

In The Last Decade

G. Madhu

60 papers receiving 956 citations

Author Peers

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

Author						Papers	Cites
G. Madhu	312	141	139	131	126	69	1.0k
Anil Baral	251 0.8×	92 0.7×	120 0.9×	106 0.8×	90 0.7×	32	1.1k
Ákos Rédey	224 0.7×	38 0.3×	128 0.9×	29 0.2×	136 1.1×	66	1.0k
Rajib Mukherjee	187 0.6×	18 0.1×	109 0.8×	69 0.5×	135 1.1×	65	880
Huang‐Mu Lo	210 0.7×	57 0.4×	80 0.6×	39 0.3×	62 0.5×	57	1.1k
Saeed Shojaei	397 1.3×	56 0.4×	72 0.5×	198 1.5×	63 0.5×	49	1.1k
Xuejun Liu	298 1.0×	65 0.5×	37 0.3×	100 0.8×	89 0.7×	40	979
Endre Domokos	329 1.1×	18 0.1×	148 1.1×	22 0.2×	99 0.8×	61	1.1k
Jian Wu	90 0.3×	59 0.4×	229 1.6×	200 1.5×	45 0.4×	67	904
Debalina Sengupta	184 0.6×	33 0.2×	65 0.5×	69 0.5×	154 1.2×	42	1.1k
Vayos Karayannis	217 0.7×	23 0.2×	69 0.5×	28 0.2×	139 1.1×	66	1.1k

Countries citing papers authored by G. Madhu

Since Specialization

Citations

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

Fields of papers citing papers by G. Madhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Madhu

This figure shows the co-authorship network connecting the top 25 collaborators of G. Madhu. A scholar is included among the top collaborators of G. Madhu 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 G. Madhu. G. Madhu 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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