Anish Kumar Das

35 total papers · 413 total citations
18 papers, 350 citations indexed

About

Anish Kumar Das is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Statistics and Probability. According to data from OpenAlex, Anish Kumar Das has authored 18 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 12 papers in Electronic, Optical and Magnetic Materials and 2 papers in Statistics and Probability. Recurrent topics in Anish Kumar Das's work include Nanocluster Synthesis and Applications (18 papers), Gold and Silver Nanoparticles Synthesis and Applications (12 papers) and Advanced Nanomaterials in Catalysis (10 papers). Anish Kumar Das is often cited by papers focused on Nanocluster Synthesis and Applications (18 papers), Gold and Silver Nanoparticles Synthesis and Applications (12 papers) and Advanced Nanomaterials in Catalysis (10 papers). Anish Kumar Das collaborates with scholars based in India, United States and Italy. Anish Kumar Das's co-authors include Sukhendu Mandal, Sourav Biswas, Biswarup Pathak, Surya Sekhar Manna, Akhil S. Nair, Subhrajyoti Bhandary, Deepak Chopra, Shiv N. Khanna, Arthur C. Reber and Mayanglambam Suheshkumar Singh and has published in prestigious journals such as Nano Letters, Accounts of Chemical Research and ACS Nano.

In The Last Decade

Anish Kumar Das

17 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Anish Kumar Das	340	206	32	28	19	18	350
Xiao‐Hong Ma	315 0.9×	151 0.7×	59 1.8×	45 1.6×	12 0.6×	14	368
Shun Ito	358 1.1×	180 0.9×	43 1.3×	28 1.0×	22 1.2×	20	383
Wan-Qi Shi	286 0.8×	158 0.8×	43 1.3×	15 0.5×	20 1.1×	11	345
Xinzhang Lin	364 1.1×	167 0.8×	29 0.9×	31 1.1×	18 0.9×	24	394
Franck Gam	341 1.0×	189 0.9×	54 1.7×	49 1.8×	28 1.5×	20	369
Xiongkai Tang	315 0.9×	146 0.7×	73 2.3×	66 2.4×	14 0.7×	27	366
Korath Shivan Sugi	384 1.1×	282 1.4×	13 0.4×	22 0.8×	37 1.9×	15	393
Jia‐Wang Yuan	255 0.8×	78 0.4×	42 1.3×	47 1.7×	9 0.5×	14	304
Stephan Pollitt	323 0.9×	125 0.6×	36 1.1×	30 1.1×	12 0.6×	17	393
Shana Havenridge	309 0.9×	171 0.8×	34 1.1×	19 0.7×	12 0.6×	17	376

Countries citing papers authored by Anish Kumar Das

Since Specialization

Citations

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

Fields of papers citing papers by Anish Kumar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anish Kumar Das. 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 Anish Kumar Das. The network helps show where Anish Kumar Das may publish in the future.

Co-authorship network of co-authors of Anish Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Kumar Das. A scholar is included among the top collaborators of Anish Kumar Das 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 Anish Kumar Das. Anish Kumar Das 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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