Amit Keshav

48 papers receiving 1.2k citations

Peers

Amit Keshav
Comparison fields: 5 of 64
  • Filtration and Separation 689
  • Catalysis 244
  • Mechanical Engineering 946
  • Control and Systems Engineering 339
  • Inorganic Chemistry 176
Replace Dipaloy Datta with:
Dipaloy Datta India
Jacques Molinier France
Ján Marták Slovakia
Albertus B.M. Heesink Netherlands
İsmail İncı̇ Türkiye
Guy Malmary France
Noemí Delgado‐Mellado Spain
Nerea Rodriguez Rodriguez Netherlands
Yu. A. Zakhodyaeva Russia
Viviana M. T. M. Silva Portugal
Amit Keshav relative to Dipaloy Datta India Dipaloy Datta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amit Keshav

Since Specialization
Citations

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

Fields of papers citing papers by Amit Keshav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Amit Keshav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Keshav Line = papers co-authored together Amit Keshav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200885
2 200884
3 200880
4 200878
5 201073
6 201069
7 201065
8 200958
9 200857
10 200955
11 201254
12 200951
13 200850
14 200947
15 200838
16 201531
17
Reactive Extraction of Propionic Acid Using Tri-N-butyl Phosphate in Petroleum Ether: Equilibrium Study
200830
18 201430
19 200929
20 200921

About Amit Keshav

Amit Keshav is a scholar working on Mechanical Engineering, Filtration and Separation, Control and Systems Engineering, Inorganic Chemistry and Materials Chemistry, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extraction and Separation Processes (37 papers), Chemical and Physical Properties in Aqueous Solutions (32 papers), Process Optimization and Integration (16 papers), Radioactive element chemistry and processing (14 papers), Crystallization and Solubility Studies (6 papers), Analytical Chemistry and Chromatography (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Ionic liquids properties and applications (2 papers). The work is most often cited by research in Filtration and Separation (689 citations), Catalysis (244 citations), Mechanical Engineering (946 citations), Control and Systems Engineering (339 citations) and Inorganic Chemistry (176 citations). Amit Keshav has collaborated with scholars based in India, Türkiye and Saudi Arabia. Frequent co-authors include Kailas L. Wasewar, Shri Chand, Diwakar Z. Shende, Dharm Pal, S. Chand, Hasan Uslu, Anil Kumar Poonia, Awanish Kumar, Ghoshna Jyoti and Ayush Tripathi. Their work appears in journals such as Journal of Chemical & Engineering Data, Industrial & Engineering Chemistry Research, International Journal of Chemical Reactor Engineering, Separation Science and Technology and Journal of Chemical Technology & Biotechnology.

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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