Madhav Acharya

11 total papers · 473 total citations
10 papers, 386 citations indexed

About

Madhav Acharya is a scholar working on Materials Chemistry, Inorganic Chemistry and Mechanical Engineering. According to data from OpenAlex, Madhav Acharya has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Inorganic Chemistry and 4 papers in Mechanical Engineering. Recurrent topics in Madhav Acharya's work include Zeolite Catalysis and Synthesis (5 papers), Membrane Separation and Gas Transport (4 papers) and Mesoporous Materials and Catalysis (3 papers). Madhav Acharya is often cited by papers focused on Zeolite Catalysis and Synthesis (5 papers), Membrane Separation and Gas Transport (4 papers) and Mesoporous Materials and Catalysis (3 papers). Madhav Acharya collaborates with scholars based in United States, India and Bulgaria. Madhav Acharya's co-authors include Henry C. Foley, Simon J. L. Billinge, Valeri Petkov, Jonathan P. Mathews, Shekhar Subramoney, Michael S. Strano, Michael P. Harold, Jan Lerou, Ravindra K. Mariwala and Sandeep Gupta and has published in prestigious journals such as Bioresource Technology, Journal of Membrane Science and Industrial & Engineering Chemistry Research.

In The Last Decade

Madhav Acharya

10 papers receiving 377 citations

Author Peers

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

Author Last Decade Papers Cites
Madhav Acharya 257 164 83 68 58 10 386
Alexander Wollbrink 200 0.8× 222 1.4× 85 1.0× 48 0.7× 44 0.8× 10 346
Yuji Kawabuchi 259 1.0× 183 1.1× 70 0.8× 59 0.9× 83 1.4× 12 374
A.M Slasli 177 0.7× 95 0.6× 39 0.5× 129 1.9× 65 1.1× 8 351
M. I. Aquino 257 1.0× 84 0.5× 74 0.9× 78 1.1× 32 0.6× 11 415
Zejing Li 167 0.6× 138 0.8× 104 1.3× 95 1.4× 40 0.7× 11 370
George Em. Romanos 220 0.9× 104 0.6× 114 1.4× 81 1.2× 107 1.8× 16 414
Juliano Cantarelli Toniolo 314 1.2× 79 0.5× 64 0.8× 62 0.9× 35 0.6× 10 415
Guangyan Sha 191 0.7× 129 0.8× 36 0.4× 109 1.6× 38 0.7× 12 360
Thomas Fitzgibbons 196 0.8× 135 0.8× 106 1.3× 45 0.7× 13 0.2× 19 349
R.K. Agarwal 223 0.9× 113 0.7× 63 0.8× 135 2.0× 56 1.0× 9 421

Countries citing papers authored by Madhav Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Madhav Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhav Acharya

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