Nirjhar Bar

2.0k total citations
57 papers, 1.6k citations indexed

About

Nirjhar Bar is a scholar working on Water Science and Technology, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Nirjhar Bar has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Water Science and Technology, 17 papers in Mechanical Engineering and 10 papers in Computational Mechanics. Recurrent topics in Nirjhar Bar's work include Adsorption and biosorption for pollutant removal (32 papers), Flow Measurement and Analysis (8 papers) and Granular flow and fluidized beds (8 papers). Nirjhar Bar is often cited by papers focused on Adsorption and biosorption for pollutant removal (32 papers), Flow Measurement and Analysis (8 papers) and Granular flow and fluidized beds (8 papers). Nirjhar Bar collaborates with scholars based in India, United States and Algeria. Nirjhar Bar's co-authors include Sudip Kumar Das, Soma Nag, Biswajit Singha, Munmun Banerjee, Abhijit Mondal, Indrajit Ghosh, Ranjan Kumar Basu, Koushik Ghosh, Asit Baran Biswas and Manindra Nath Biswas and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and Journal of Colloid and Interface Science.

In The Last Decade

Nirjhar Bar

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirjhar Bar India 26 1.1k 290 247 238 237 57 1.6k
Nina Paula Gonçalves Salau Brazil 26 819 0.8× 229 0.8× 227 0.9× 386 1.6× 202 0.9× 102 1.8k
Reza Davarnejad Iran 23 703 0.7× 231 0.8× 161 0.7× 676 2.8× 352 1.5× 100 1.6k
Avijit Bhowal India 19 523 0.5× 135 0.5× 224 0.9× 439 1.8× 397 1.7× 59 1.4k
Adriano da Silva Brazil 23 380 0.4× 130 0.4× 112 0.5× 341 1.4× 207 0.9× 89 1.2k
Ahmad Azari Iran 14 631 0.6× 195 0.7× 145 0.6× 440 1.8× 451 1.9× 41 1.4k
Wei Guan China 20 398 0.4× 139 0.5× 112 0.5× 226 0.9× 169 0.7× 57 1.4k
Senthilmurugan Subbiah India 20 806 0.8× 271 0.9× 191 0.8× 538 2.3× 223 0.9× 72 1.7k
Jean-Pierre Leclerc France 19 727 0.7× 279 1.0× 80 0.3× 369 1.6× 180 0.8× 32 1.2k
Mustapha Mohammed Bello Malaysia 19 1.2k 1.1× 337 1.2× 291 1.2× 569 2.4× 156 0.7× 38 2.1k
B. Gourich France 18 1.2k 1.2× 402 1.4× 109 0.4× 515 2.2× 126 0.5× 26 1.6k

Countries citing papers authored by Nirjhar Bar

Since Specialization
Citations

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

Fields of papers citing papers by Nirjhar Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirjhar Bar

This figure shows the co-authorship network connecting the top 25 collaborators of Nirjhar Bar. A scholar is included among the top collaborators of Nirjhar Bar 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 Nirjhar Bar. Nirjhar Bar 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.
Ghosh, Indrajit, Nirjhar Bar, & Bimal Das. (2024). Methylene blue dye removal by adsorption with coconut coir and acid-treated forms: adsorption-desorption study, MPR and modeling using artificial intelligence. Journal of Dispersion Science and Technology. 1–26. 3 indexed citations
2.
Nag, Soma, et al.. (2024). Biosorption of pb(II) from aqueous solution by citrus reticulate : adsorption studies, and modeling. International Journal of Phytoremediation. 26(12). 1996–2009. 3 indexed citations
3.
Bar, Nirjhar, et al.. (2023). Minimum fluidization velocity for binary mixture of sand particles using pseudoplastic liquids. Powder Technology. 416. 118220–118220. 5 indexed citations
4.
5.
Bar, Nirjhar, et al.. (2022). Development of Ni(II) resistant S. cerevisiae and its application: Adsorption study and modeling. Chemosphere. 309(Pt 1). 136647–136647. 7 indexed citations
6.
Bar, Nirjhar, et al.. (2022). COLUMN STUDY FOR THE CU(II) REMOVAL BY THE COCONUT SHELL FROM AQUEOUS SOLUTION – MLR AND GA MODELING. Journal of Environmental Engineering and Landscape Management. 30(2). 331–341. 1 indexed citations
7.
Bar, Nirjhar, et al.. (2022). Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling. The Canadian Journal of Chemical Engineering. 101(3). 1713–1721. 5 indexed citations
8.
Bar, Nirjhar, et al.. (2022). Effect of complex nutrients, amino acids, vitamins on Ni(II) biosorption from aqueous solution by Ni(II) resistant Saccharomyces cerevisiae AJ208. International Journal of Phytoremediation. 25(8). 1095–1105. 2 indexed citations
9.
Bar, Nirjhar, et al.. (2021). BIOSORPTION OF CU(II) IONS FROM INDUSTRIAL EFFLUENTS BY RICE HUSK: EXPERIMENT, STATISTICAL, AND ANN MODELING. Journal of Environmental Engineering and Landscape Management. 29(4). 441–448. 7 indexed citations
10.
Bar, Nirjhar, et al.. (2021). Terminal settling velocity of solids in the pseudoplastic non-Newtonian liquid system – Experiment and ANN modeling. Chemical Engineering Journal Advances. 7. 100136–100136. 10 indexed citations
11.
Villemin, Didier, et al.. (2021). On the green catalytic synthesis of purpurogallin. Revue Roumaine de Chimie. 65(12). 1153–1157.
12.
13.
Ghosh, Koushik, Nirjhar Bar, Asit Baran Biswas, & Sudip Kumar Das. (2019). Removal of methylene blue (aq) using untreated and acid‐treated eucalyptus leaves and GA‐ANN modelling. The Canadian Journal of Chemical Engineering. 97(11). 2883–2898. 48 indexed citations
14.
Banerjee, Munmun, Nirjhar Bar, Ranjan Kumar Basu, & Sudip Kumar Das. (2017). Comparative study of adsorptive removal of Cr(VI) ion from aqueous solution in fixed bed column by peanut shell and almond shell using empirical models and ANN. Environmental Science and Pollution Research. 24(11). 10604–10620. 53 indexed citations
15.
Nag, Soma, Abhijit Mondal, Nirjhar Bar, & Sudip Kumar Das. (2017). Biosorption of chromium (VI) from aqueous solutions and ANN modelling. Environmental Science and Pollution Research. 24(23). 18817–18835. 81 indexed citations
16.
Bar, Nirjhar, Manindra Nath Biswas, & Sudip Kumar Das. (2016). Prediction of flow regime using ANN for air-water flow through small diameter tubes in horizontal plane. 2(2). 107–107. 1 indexed citations
17.
Singha, Biswajit, et al.. (2014). Removal of Pb(II) ions from aqueous solution using water hyacinth root by fixed-bed column and ANN modeling. Journal of Hazardous Materials. 273. 94–103. 85 indexed citations
18.
Das, Bimal, et al.. (2014). Holdup prediction in inverse fluidization using non-Newtonian pseudoplastic liquids: Empirical correlation and ANN modeling. Powder Technology. 273. 83–90. 19 indexed citations
19.
Bar, Nirjhar, T. K. Ghosh, Manindra Nath Biswas, & Sudip Kumar Das. (2011). Air-Water Flow through 3mm and 4mm Tubes – Experiment and ANN Prediction. 3(8). 531–537. 1 indexed citations
20.
Bar, Nirjhar, Manindra Nath Biswas, & Sudip Kumar Das. (2011). Frictional Pressure Drop Prediction Using ANN for Gas-Non-Newtonian Liquid Flow through 45° Bend. 3(9). 608–613. 3 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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