Subhabrata Ray

1.6k total citations
34 papers, 1.2k citations indexed

About

Subhabrata Ray is a scholar working on Biomedical Engineering, Water Science and Technology and Mechanical Engineering. According to data from OpenAlex, Subhabrata Ray has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 8 papers in Water Science and Technology and 7 papers in Mechanical Engineering. Recurrent topics in Subhabrata Ray's work include Advanced oxidation water treatment (7 papers), Fluid Dynamics and Mixing (6 papers) and Biofuel production and bioconversion (5 papers). Subhabrata Ray is often cited by papers focused on Advanced oxidation water treatment (7 papers), Fluid Dynamics and Mixing (6 papers) and Biofuel production and bioconversion (5 papers). Subhabrata Ray collaborates with scholars based in India. Subhabrata Ray's co-authors include Amar Nath Samanta, Debabrata Das, Prabir Ghosh, Animes Kumar Golder, Chandan Mahata, Anjani Devi Chintagunta, Rintu Banerjee‬‬‬‬‬‬‬‬‬, Amit Dutta, Gargi Das and Akhouri Pramod Krishna and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Subhabrata Ray

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhabrata Ray India 19 404 401 254 182 160 34 1.2k
Yung‐Tse Hung United States 17 419 1.0× 415 1.0× 308 1.2× 161 0.9× 105 0.7× 71 1.4k
Pomthong Malakul Thailand 20 226 0.6× 443 1.1× 175 0.7× 108 0.6× 154 1.0× 41 1.4k
Selvaraju Sivamani India 23 622 1.5× 413 1.0× 222 0.9× 88 0.5× 93 0.6× 89 1.8k
Ahmad Hosseinzadeh Australia 21 502 1.2× 308 0.8× 285 1.1× 204 1.1× 127 0.8× 39 1.3k
Sankha Chakrabortty India 22 560 1.4× 448 1.1× 209 0.8× 304 1.7× 51 0.3× 85 1.5k
Jayato Nayak India 19 287 0.7× 327 0.8× 137 0.5× 260 1.4× 54 0.3× 44 1.1k
D. Aguado Spain 23 439 1.1× 267 0.7× 448 1.8× 146 0.8× 187 1.2× 58 1.4k
Abdurrahman Tanyolaç Türkiye 20 739 1.8× 430 1.1× 309 1.2× 214 1.2× 79 0.5× 47 1.7k
Jalal Shayegan Iran 25 477 1.2× 302 0.8× 178 0.7× 252 1.4× 241 1.5× 72 1.4k

Countries citing papers authored by Subhabrata Ray

Since Specialization
Citations

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

Fields of papers citing papers by Subhabrata Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhabrata Ray

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

All Works

20 of 20 papers shown
1.
Mahata, Chandan, et al.. (2023). Biohydrogen production from starchy wastewater in upflow anaerobic sludge blanket (UASB) reactor: Possibilities toward circular bioeconomy. Environmental Technology & Innovation. 30. 103044–103044. 19 indexed citations
2.
Mahata, Chandan, et al.. (2020). Effect of thermal pretreated organic wastes on the dark fermentative hydrogen production using mixed microbial consortia. Fuel. 284. 119062–119062. 28 indexed citations
3.
Das, Gargi, et al.. (2020). Liquid Film Thickness around Taylor Finger. SSRN Electronic Journal. 1 indexed citations
4.
Paul, Koushik, et al.. (2020). DEVELOPING AND OPTIMISING AN URBAN INTEGRATED SOLID WASTE MANAGEMENT MODEL: EFFECT OF TRANSFER STATIONS. Journal of Urban and Environmental Engineering. 119–131. 1 indexed citations
5.
Dutta, Amit Kumar, et al.. (2020). DEVELOPING AND OPTIMISING AN URBAN INTEGRATED SOLID WASTE MANAGEMENT MODEL: EFFECT OF TRANSFER STATIONS. Journal of Urban and Environmental Engineering. 119–131. 3 indexed citations
6.
Mahata, Chandan, Subhabrata Ray, & Debabrata Das. (2020). Optimization of dark fermentative hydrogen production from organic wastes using acidogenic mixed consortia. Energy Conversion and Management. 219. 113047–113047. 93 indexed citations
7.
Banerjee‬‬‬‬‬‬‬‬‬, Rintu, Anjani Devi Chintagunta, & Subhabrata Ray. (2019). Laccase mediated delignification of pineapple leaf waste: an ecofriendly sustainable attempt towards valorization. BMC Chemistry. 13(1). 58–58. 31 indexed citations
8.
Ray, Subhabrata, et al.. (2018). Draining phenomenon in closed narrow tubes pierced at the top: an experimental and theoretical analysis. Scientific Reports. 8(1). 14114–14114. 10 indexed citations
9.
Das, Gargi, et al.. (2017). Void fraction and pressure drop in gas-liquid downflow through narrow vertical conduits-experiments and analysis. Chemical Engineering Science. 171. 117–130. 14 indexed citations
10.
Ray, Subhabrata, et al.. (2016). Flow pattern transition in gas‐liquid downflow through narrow vertical tubes. AIChE Journal. 63(2). 792–800. 7 indexed citations
11.
Das, Gargi, et al.. (2014). Sensor‐based flow pattern detection—gas–liquid–liquid upflow through a vertical pipe. AIChE Journal. 60(9). 3362–3375. 10 indexed citations
12.
Ghosh, Prabir, et al.. (2012). Electro-Fenton treatment of synthetic organic dyes: Influence of operational parameters and kinetic study. Korean Journal of Chemical Engineering. 29(9). 1203–1210. 24 indexed citations
13.
Ghosh, Prabir, Amar Nath Samanta, & Subhabrata Ray. (2010). Reduction of COD and removal of Zn2+ from rayon industry wastewater by combined electro-Fenton treatment and chemical precipitation. Desalination. 266(1-3). 213–217. 146 indexed citations
14.
Ray, Subhabrata, et al.. (2009). Sliding mode control of quadruple tank process. Mechatronics. 19(4). 548–561. 63 indexed citations
15.
Dutta, Amit Kumar, et al.. (2009). Assessment of vehicular pollution in Kolkata, India, using CALINE 4 model. Environmental Monitoring and Assessment. 170(1-4). 33–43. 17 indexed citations
16.
Golder, Animes Kumar, Harsh Kumar, Amar Nath Samanta, & Subhabrata Ray. (2009). Colour diminution and COD reduction in treatment of coloured effluent by Electrocoagulation. International Journal of Environmental Engineering. 2(1/2/3). 228–228. 9 indexed citations
17.
Ray, Subhabrata, et al.. (2008). Nonlinear control of high purity distillation column under input saturation and parametric uncertainty. Journal of Process Control. 19(1). 75–84. 19 indexed citations
18.
Dutta, Amit, et al.. (2008). Municipal solid waste management in Kolkata, India – A review. Waste Management. 29(4). 1449–1458. 120 indexed citations
19.
Golder, Animes Kumar, et al.. (2007). Removal of Cr(VI) from Aqueous Solution: Electrocoagulation vs Chemical Coagulation. Separation Science and Technology. 42(10). 2177–2193. 83 indexed citations
20.
Ray, Subhabrata, et al.. (2006). Multi-objective constraint optimizing IOL control of distillation column with nonlinear observer. Journal of Process Control. 17(1). 73–81. 5 indexed citations

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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