Madhav Acharya

474 total citations
10 papers, 389 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 389 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 Graphene research and applications (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 Graphene research and applications (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 Ashok N. Bhaskarwar 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 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Madhav Acharya United States	8	259	165	84	68	58	10	389
Hiromasa Tawarayama Japan	15	411 1.6×	208 1.3×	147 1.8×	50 0.7×	31 0.5×	35	616
Guangyan Sha China	10	191 0.7×	129 0.8×	36 0.4×	111 1.6×	38 0.7×	12	362
H. Fuzellier France	14	347 1.3×	142 0.9×	198 2.4×	47 0.7×	44 0.8×	39	486
Edward K. Nyutu United States	7	272 1.1×	81 0.5×	117 1.4×	45 0.7×	70 1.2×	8	399
Peter Druska Germany	7	348 1.3×	77 0.5×	116 1.4×	39 0.6×	60 1.0×	12	453
Christopher J. Gump United States	9	264 1.0×	196 1.2×	128 1.5×	49 0.7×	20 0.3×	17	466
G.P. Tartaglia Netherlands	7	506 2.0×	82 0.5×	117 1.4×	82 1.2×	64 1.1×	12	634
Katsuhiko Hirano Japan	13	437 1.7×	56 0.3×	145 1.7×	51 0.8×	89 1.5×	30	617
S. Amaya-Roncancio Colombia	13	331 1.3×	97 0.6×	85 1.0×	87 1.3×	33 0.6×	45	510
A. N. Maratkanova Russia	13	177 0.7×	150 0.9×	75 0.9×	77 1.1×	105 1.8×	42	397

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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10 of 10 papers shown

1.

Sagues, William Joe, Camilla Abbati de Assis, Daniel L. Sanchez, et al.. (2019). Decarbonizing agriculture through the conversion of animal manure to dietary protein and ammonia fertilizer. Bioresource Technology. 297. 122493–122493. 9 indexed citations

2.

Acharya, Madhav, et al.. (2003). Monte Carlo simulation of flow of fluids through porous media. Computers & Chemical Engineering. 27(3). 385–400. 12 indexed citations

3.

Acharya, Madhav & Henry C. Foley. (2000). Transport in nanoporous carbon membranes: Experiments and analysis. AIChE Journal. 46(5). 911–922. 22 indexed citations

4.

Acharya, Madhav. (1999). Engineering design and theoretical analysis of nanoporous carbon membranes for gas separation. PhDT. 3 indexed citations

5.

Acharya, Madhav & Henry C. Foley. (1999). Spray-coating of nanoporous carbon membranes for air separation. Journal of Membrane Science. 161(1-2). 1–5. 87 indexed citations

6.

Acharya, Madhav, Michael S. Strano, Jonathan P. Mathews, et al.. (1999). Simulation of nanoporous carbons: A chemically constrained structure. Philosophical Magazine B. 79(10). 1499–1518. 76 indexed citations

7.

Petkov, Valeri, et al.. (1999). Local structure of nanoporous carbons. Philosophical Magazine B. 79(10). 1519–1530. 113 indexed citations

8.

Mariwala, Ravindra K., Madhav Acharya, & Henry C. Foley. (1998). Adsorption of halocarbons on a carbon molecular sieve. Microporous and Mesoporous Materials. 22(1-3). 281–288. 14 indexed citations

9.

Acharya, Madhav, et al.. (1997). Metal-Supported Carbogenic Molecular Sieve Membranes: Synthesis and Applications. Industrial & Engineering Chemistry Research. 36(8). 2924–2930. 52 indexed citations

10.

Foley, Henry C., et al.. (1996). Symmetry Breaking in the Transformation of Nanoporous Carbons Solids. MRS Proceedings. 454. 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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