Sarat Munjal

474 total citations
18 papers, 396 citations indexed

About

Sarat Munjal is a scholar working on Organic Chemistry, Biomedical Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Sarat Munjal has authored 18 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Biomedical Engineering and 7 papers in Fluid Flow and Transfer Processes. Recurrent topics in Sarat Munjal's work include Phase Equilibria and Thermodynamics (8 papers), Chemical Thermodynamics and Molecular Structure (7 papers) and Thermodynamic properties of mixtures (6 papers). Sarat Munjal is often cited by papers focused on Phase Equilibria and Thermodynamics (8 papers), Chemical Thermodynamics and Molecular Structure (7 papers) and Thermodynamic properties of mixtures (6 papers). Sarat Munjal collaborates with scholars based in United States, Netherlands and India. Sarat Munjal's co-authors include P.A. Ramachandran, Milorad P. Duduković, Buford D. Smith, Jagjit R. Khurma, Bert Klumperman, Hayley A. Brown, Maurice J. Marks, Ivan A. Konstantinov, Sean W. Ewart and M.P. Duduković and has published in prestigious journals such as Chemical Engineering Science, Journal of Chemical & Engineering Data and Journal of Polymer Science Part A Polymer Chemistry.

In The Last Decade

Sarat Munjal

18 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarat Munjal United States 8 193 157 112 76 69 18 396
Brian Hanley United States 9 169 0.9× 156 1.0× 23 0.2× 67 0.9× 47 0.7× 20 377
Ruining He China 12 109 0.6× 142 0.9× 56 0.5× 75 1.0× 55 0.8× 26 380
H. Angelino France 17 176 0.9× 318 2.0× 240 2.1× 18 0.2× 19 0.3× 59 557
G. V. Jeffreys United Kingdom 13 73 0.4× 234 1.5× 170 1.5× 24 0.3× 28 0.4× 39 485
I.P.T. Moore United Kingdom 10 76 0.4× 264 1.7× 110 1.0× 74 1.0× 35 0.5× 11 399
Magdalena Mitkova Bulgaria 13 113 0.6× 139 0.9× 48 0.4× 22 0.3× 71 1.0× 37 456
A.S. Lamine France 10 143 0.7× 110 0.7× 130 1.2× 16 0.2× 25 0.4× 13 349
John J. Marano United States 9 127 0.7× 185 1.2× 43 0.4× 35 0.5× 63 0.9× 14 425
Kari I. Keskinen Finland 14 101 0.5× 539 3.4× 166 1.5× 171 2.3× 175 2.5× 38 675
M.H. Oyevaar Netherlands 12 211 1.1× 241 1.5× 60 0.5× 13 0.2× 20 0.3× 13 386

Countries citing papers authored by Sarat Munjal

Since Specialization
Citations

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

Fields of papers citing papers by Sarat Munjal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarat Munjal

This figure shows the co-authorship network connecting the top 25 collaborators of Sarat Munjal. A scholar is included among the top collaborators of Sarat Munjal 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 Sarat Munjal. Sarat Munjal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ewart, Sean W., et al.. (2020). Aluminum Alkyls as Highly Active Catalytic Chain Transfer Agents. Macromolecular Reaction Engineering. 14(1). 1 indexed citations
2.
Konstantinov, Ivan A., et al.. (2017). Accurate density functional theory (DFT) protocol for screening and designing chain transfer and branching agents for LDPE systems. Molecular Systems Design & Engineering. 3(1). 228–242. 9 indexed citations
3.
Marks, Maurice J., et al.. (2000). Randomly branched bisphenol A polycarbonates. I. Molecular weight distribution modeling, interfacial synthesis, and characterization. Journal of Polymer Science Part A Polymer Chemistry. 38(3). 560–570. 14 indexed citations
4.
Munjal, Sarat. (1994). Oligomer distribution for interfacial step growth polycondensation. Polymer Engineering and Science. 34(2). 93–101. 4 indexed citations
5.
Munjal, Sarat, et al.. (1990). Mathematical model and experimental investigation of polycarbonate pellet drying. Polymer Engineering and Science. 30(21). 1352–1360. 1 indexed citations
6.
Munjal, Sarat, et al.. (1989). Mass-transfer in rotating packed beds—I. Development of gas—liquid and liquid—solid mass-transfer correlations. Chemical Engineering Science. 44(10). 2245–2256. 161 indexed citations
7.
Munjal, Sarat, Milorad P. Duduković, & P.A. Ramachandran. (1989). Mass-transfer in rotating packed beds—II. Experimental results and comparison with theory and gravity flow. Chemical Engineering Science. 44(10). 2257–2268. 122 indexed citations
8.
Munjal, Sarat, M.P. Duduković, & P.A. Ramachandran. (1985). Mass-transfer in a rotating packed-bed with countercurrent gas-liquid flow. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
9.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of nitromethane with ethyl acetate, acetonitrile and acetone. Journal of Chemical & Engineering Data. 28(1). 113–119. 7 indexed citations
10.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of 1-chlorobutane with pentane, benzene and toluene. Journal of Chemical & Engineering Data. 28(1). 93–99. 7 indexed citations
11.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of chlorobenzene with nitromethane, ethanol, benzene, and 1-chlorobutane. Journal of Chemical & Engineering Data. 28(1). 100–107. 17 indexed citations
12.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of aniline with 1-chlorobutane and ethyl acetate. Journal of Chemical & Engineering Data. 28(1). 108–112. 5 indexed citations
13.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of nitromethane with methanol and ethanol. Journal of Chemical & Engineering Data. 28(1). 119–123. 8 indexed citations
14.
Munjal, Sarat, et al.. (1983). Constants for selected activity coefficient correlations for 103 new VLE data sets. Fluid Phase Equilibria. 12(1-2). 51–85. 3 indexed citations
15.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of 1-chlorobutane with ethyl acetate, acetonitrile, nitromethane, and acetone. Journal of Chemical & Engineering Data. 28(1). 86–93. 17 indexed citations
16.
Khurma, Jagjit R., et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of dichloromethane with pentane, acetone, ethyl acetate, methanol, and acetonitrile. Journal of Chemical & Engineering Data. 28(4). 412–419. 13 indexed citations
17.
Munjal, Sarat, et al.. (1983). Total-pressure vapor-liquid equilibrium data for binary systems of acetone with isopropylbenzene and isopropenylbenzene. Journal of Chemical & Engineering Data. 28(2). 192–196. 5 indexed citations
18.

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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