Maya R. Unnithan

9 total papers · 566 total citations
7 papers, 506 citations indexed

About

Maya R. Unnithan is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Organic Chemistry. According to data from OpenAlex, Maya R. Unnithan has authored 7 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Organic Chemistry. Recurrent topics in Maya R. Unnithan's work include Adsorption and biosorption for pollutant removal (7 papers), Phosphorus and nutrient management (2 papers) and Layered Double Hydroxides Synthesis and Applications (2 papers). Maya R. Unnithan is often cited by papers focused on Adsorption and biosorption for pollutant removal (7 papers), Phosphorus and nutrient management (2 papers) and Layered Double Hydroxides Synthesis and Applications (2 papers). Maya R. Unnithan collaborates with scholars based in India. Maya R. Unnithan's co-authors include T.S. Anirudhan, V. P. Vinod and L. Divya and has published in prestigious journals such as Chemosphere, Industrial & Engineering Chemistry Research and Journal of Applied Polymer Science.

In The Last Decade

Maya R. Unnithan

7 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Maya R. Unnithan	375	123	110	89	85	7	506
Ruiqi Fu	369 1.0×	85 0.7×	82 0.7×	60 0.7×	150 1.8×	8	551
Renel Anderson	384 1.0×	87 0.7×	139 1.3×	54 0.6×	59 0.7×	6	534
Rahim shahrokhi	293 0.8×	58 0.5×	131 1.2×	74 0.8×	60 0.7×	8	605
E.N. Bakatula	281 0.7×	56 0.5×	109 1.0×	56 0.6×	79 0.9×	11	506
Wenjing Shao	394 1.1×	48 0.4×	75 0.7×	74 0.8×	75 0.9×	8	508
Chi Lin	376 1.0×	70 0.6×	169 1.5×	29 0.3×	71 0.8×	7	585
Grace M. Haggerty	273 0.7×	55 0.4×	117 1.1×	40 0.4×	49 0.6×	6	446
Biao Zeng	320 0.9×	65 0.5×	87 0.8×	57 0.6×	86 1.0×	13	598
Ilhem Ghodbane	482 1.3×	37 0.3×	112 1.0×	112 1.3×	94 1.1×	10	617
John U. Kennedy Oubagaranadin	403 1.1×	40 0.3×	103 0.9×	76 0.9×	80 0.9×	14	590

Countries citing papers authored by Maya R. Unnithan

Since Specialization

Citations

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

Fields of papers citing papers by Maya R. Unnithan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya R. Unnithan. 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 Maya R. Unnithan. The network helps show where Maya R. Unnithan may publish in the future.

Co-authorship network of co-authors of Maya R. Unnithan

This figure shows the co-authorship network connecting the top 25 collaborators of Maya R. Unnithan. A scholar is included among the top collaborators of Maya R. Unnithan 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 Maya R. Unnithan. Maya R. Unnithan 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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