Probir Kumar Bose

1.5k total citations
32 papers, 1.3k citations indexed

About

Probir Kumar Bose is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Probir Kumar Bose has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Fluid Flow and Transfer Processes, 21 papers in Biomedical Engineering and 19 papers in Automotive Engineering. Recurrent topics in Probir Kumar Bose's work include Advanced Combustion Engine Technologies (30 papers), Biodiesel Production and Applications (20 papers) and Vehicle emissions and performance (19 papers). Probir Kumar Bose is often cited by papers focused on Advanced Combustion Engine Technologies (30 papers), Biodiesel Production and Applications (20 papers) and Vehicle emissions and performance (19 papers). Probir Kumar Bose collaborates with scholars based in India and Japan. Probir Kumar Bose's co-authors include Rahul Banerjee, Sumit Roy, Rajsekhar Panua, Abhishek Paul, Durbadal Debroy, Ajoy Kumar Das, Madhujit Deb, Arindam Majumder, Prasun Chakraborti and Maciej Mikulski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Probir Kumar Bose

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Probir Kumar Bose India 20 1.1k 789 612 287 269 32 1.3k
Rajsekhar Panua India 20 949 0.9× 993 1.3× 387 0.6× 205 0.7× 339 1.3× 61 1.3k
Abhishek Paul India 17 859 0.8× 819 1.0× 350 0.6× 210 0.7× 215 0.8× 51 1.1k
I.M. Yusri Malaysia 12 792 0.7× 793 1.0× 314 0.5× 221 0.8× 236 0.9× 28 1.1k
Zibin Yin China 19 919 0.9× 780 1.0× 422 0.7× 501 1.7× 252 0.9× 44 1.4k
Ákos Bereczky Hungary 20 1.2k 1.1× 1.3k 1.7× 411 0.7× 290 1.0× 333 1.2× 49 1.7k
Theodoros C. Zannis Greece 18 717 0.7× 485 0.6× 401 0.7× 200 0.7× 228 0.8× 46 997
Amin Paykani Iran 20 1.1k 1.0× 519 0.7× 622 1.0× 395 1.4× 602 2.2× 51 1.5k
Lijiang Wei China 13 1.3k 1.2× 886 1.1× 738 1.2× 483 1.7× 445 1.7× 33 1.7k
Amir-Hasan Kakaee Iran 18 802 0.8× 398 0.5× 538 0.9× 263 0.9× 448 1.7× 41 1.3k
Sumit Roy India 20 675 0.6× 512 0.6× 431 0.7× 274 1.0× 179 0.7× 48 1.3k

Countries citing papers authored by Probir Kumar Bose

Since Specialization
Citations

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

Fields of papers citing papers by Probir Kumar Bose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Probir Kumar Bose. 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 Probir Kumar Bose. The network helps show where Probir Kumar Bose may publish in the future.

Co-authorship network of co-authors of Probir Kumar Bose

This figure shows the co-authorship network connecting the top 25 collaborators of Probir Kumar Bose. A scholar is included among the top collaborators of Probir Kumar Bose 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 Probir Kumar Bose. Probir Kumar Bose 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.
Panua, Rajsekhar, et al.. (2021). Numerical investigation to explore the influence of combustion chamber modification on combustion and emission of a diesel engine fuelled with biodiesel. International Journal of Ambient Energy. 43(1). 4701–4715. 2 indexed citations
5.
Banerjee, Rahul, et al.. (2016). An experimental investigation on the potential of hydrogen–biohol synergy in the performance-emission trade-off paradigm of a diesel engine. International Journal of Hydrogen Energy. 41(5). 3712–3739. 19 indexed citations
6.
Paul, Abhishek, Rajsekhar Panua, Durbadal Debroy, & Probir Kumar Bose. (2015). An experimental study of the performance, combustion and emission characteristics of a CI engine under dual fuel mode using CNG and oxygenated pilot fuel blends. Energy. 86. 560–573. 59 indexed citations
7.
Paul, Abhishek, Rajsekhar Panua, & Probir Kumar Bose. (2015). Effect of Diesel–Ethanol–PPME (Pongamia piñata Methyl Ester) Blends as Pilot Fuel on CNG Dual-Fuel Operation of a CI Engine: A Performance-Emission Trade-Off Study. Energy & Fuels. 29(4). 2394–2407. 26 indexed citations
8.
Roy, Sumit, et al.. (2015). Adaptive-neuro fuzzy inference system (ANFIS) based prediction of performance and emission parameters of a CRDI assisted diesel engine under CNG dual-fuel operation. Journal of Natural Gas Science and Engineering. 27. 274–283. 28 indexed citations
9.
Roy, Sumit, Ajoy Kumar Das, & Probir Kumar Bose. (2015). Potential of EGR & CNG on performance & emissions of a CRDI engine. 3 indexed citations
10.
Banerjee, Rahul, Sumit Roy, & Probir Kumar Bose. (2015). Hydrogen-EGR synergy as a promising pathway to meet the PM–NOx–BSFC trade-off contingencies of the diesel engine: A comprehensive review. International Journal of Hydrogen Energy. 40(37). 12824–12847. 72 indexed citations
11.
Roy, Sumit, Ajoy Kumar Das, Probir Kumar Bose, & Rahul Banerjee. (2014). ANN metamodel assisted Particle Swarm Optimization of the performance-emission trade-off characteristics of a single cylinder CRDI engine under CNG dual-fuel operation. Journal of Natural Gas Science and Engineering. 21. 1156–1162. 26 indexed citations
12.
Roy, Sumit, Rahul Banerjee, Ajoy Kumar Das, & Probir Kumar Bose. (2014). Development of an ANN based system identification tool to estimate the performance-emission characteristics of a CRDI assisted CNG dual fuel diesel engine. Journal of Natural Gas Science and Engineering. 21. 147–158. 69 indexed citations
14.
Paul, Abhishek, Rajsekhar Panua, Durbadal Debroy, & Probir Kumar Bose. (2014). Effect of diethyl ether and ethanol on performance, combustion, and emission of single-cylinder compression ignition engine. International Journal of Ambient Energy. 38(1). 2–13. 26 indexed citations
15.
Bose, Probir Kumar, Madhujit Deb, Rahul Banerjee, & Arindam Majumder. (2013). Multi objective optimization of performance parameters of a single cylinder diesel engine running with hydrogen using a Taguchi-fuzzy based approach. Energy. 63. 375–386. 78 indexed citations
16.
Paul, Abhishek, Probir Kumar Bose, Rajsekhar Panua, & Rahul Banerjee. (2013). An experimental investigation of performance-emission trade off of a CI engine fueled by diesel–compressed natural gas (CNG) combination and diesel–ethanol blends with CNG enrichment. Energy. 55. 787–802. 88 indexed citations
18.
Bhattacharya, Paritosh, et al.. (2010). TRANSMISSION LOSS AND PERFORMANCE TEST OF A TWO CYLINDER FOUR STROKE DIESEL ENGINE. SHILAP Revista de lepidopterología.
19.
Bose, Probir Kumar & Rahul Banerjee. (2009). Performance and Emission Characteristic Evaluation of a Single-Cylinder Four-Stroke Diesel Engine Running on Hydrogen and Diesel in Dual Fuel Mode Under Different EGR Conditions. SAE technical papers on CD-ROM/SAE technical paper series. 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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