Provat K. Saha

62 total papers · 1.2k total citations
33 papers, 741 citations indexed

About

Provat K. Saha is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Provat K. Saha has authored 33 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Health, Toxicology and Mutagenesis, 14 papers in Atmospheric Science and 9 papers in Automotive Engineering. Recurrent topics in Provat K. Saha's work include Air Quality and Health Impacts (24 papers), Atmospheric chemistry and aerosols (13 papers) and Vehicle emissions and performance (9 papers). Provat K. Saha is often cited by papers focused on Air Quality and Health Impacts (24 papers), Atmospheric chemistry and aerosols (13 papers) and Vehicle emissions and performance (9 papers). Provat K. Saha collaborates with scholars based in United States, Bangladesh and Canada. Provat K. Saha's co-authors include Albert A. Presto, Allen L. Robinson, Andrew P. Grieshop, R. Subramanian, Andrey Khlystov, Aliaksei Hauryliuk, Carl Malings, Rebecca Tanzer, Joshua S. Apte and Michelle Snyder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Provat K. Saha

31 papers receiving 734 citations

Author Peers

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

Author						Papers	Cites
Provat K. Saha	635	384	348	202	131	33	741
Nutthida Kitwiroon	651 1.0×	259 0.7×	298 0.9×	150 0.7×	135 1.0×	25	840
Jawad S. Touma	583 0.9×	388 1.0×	246 0.7×	271 1.3×	121 0.9×	23	838
Diogo Lopes	448 0.7×	256 0.7×	208 0.6×	211 1.0×	116 0.9×	50	733
David A. Olson	517 0.8×	265 0.7×	388 1.1×	185 0.9×	188 1.4×	26	813
Cristina Guerreiro	643 1.0×	272 0.7×	375 1.1×	185 0.9×	165 1.3×	16	861
Camillo Silibello	596 0.9×	375 1.0×	375 1.1×	117 0.6×	193 1.5×	45	780
Jan Peters	628 1.0×	516 1.3×	174 0.5×	259 1.3×	111 0.8×	28	831
Hélder Relvas	516 0.8×	267 0.7×	171 0.5×	179 0.9×	153 1.2×	37	784
Luisella Ciancarella	554 0.9×	323 0.8×	195 0.6×	90 0.4×	202 1.5×	39	752
Nelson Barros	402 0.6×	191 0.5×	168 0.5×	119 0.6×	111 0.8×	51	632

Countries citing papers authored by Provat K. Saha

Since Specialization

Citations

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

Fields of papers citing papers by Provat K. Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Provat K. Saha. 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 Provat K. Saha. The network helps show where Provat K. Saha may publish in the future.

Co-authorship network of co-authors of Provat K. Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Provat K. Saha. A scholar is included among the top collaborators of Provat K. Saha 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 Provat K. Saha. Provat K. Saha 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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