Amit Bhave

1.9k total citations
44 papers, 1.6k citations indexed

About

Amit Bhave is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Amit Bhave has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Fluid Flow and Transfer Processes, 25 papers in Computational Mechanics and 19 papers in Automotive Engineering. Recurrent topics in Amit Bhave's work include Advanced Combustion Engine Technologies (28 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (19 papers). Amit Bhave is often cited by papers focused on Advanced Combustion Engine Technologies (28 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (19 papers). Amit Bhave collaborates with scholars based in United Kingdom, United States and Singapore. Amit Bhave's co-authors include Markus Kraft, Andrew Smallbone, Sebastian Mosbach, Neal Morgan, Jethro Akroyd, Gautam Kalghatgi, Roger Cracknell, Fabian Mauß, Luca Montorsi and George Brownbridge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Applied Energy.

In The Last Decade

Amit Bhave

43 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amit Bhave 846 659 464 433 252 44 1.6k
Fuquan Zhao 1.7k 2.1× 1.3k 1.9× 462 1.0× 1.2k 2.8× 346 1.4× 83 2.7k
John Thomas 427 0.5× 191 0.3× 152 0.3× 499 1.2× 149 0.6× 43 1.0k
Spencer C. Sorenson 2.3k 2.8× 902 1.4× 1.1k 2.3× 1.3k 2.9× 770 3.1× 83 3.6k
Prem Kumar Chaurasiya 342 0.4× 130 0.2× 570 1.2× 133 0.3× 137 0.5× 71 1.5k
Zafer Utlu 300 0.4× 104 0.2× 479 1.0× 79 0.2× 93 0.4× 82 1.9k
S. Jebaraj 280 0.3× 99 0.2× 528 1.1× 48 0.1× 53 0.2× 15 1.2k
Alberto Traverso 175 0.2× 264 0.4× 392 0.8× 111 0.3× 976 3.9× 238 3.0k
Surendra Singh Kachhwaha 197 0.2× 97 0.1× 779 1.7× 51 0.1× 136 0.5× 89 2.3k
Gaurav Saini 70 0.1× 143 0.2× 230 0.5× 75 0.2× 116 0.5× 56 1.3k
Waqar Muhammad Ashraf 94 0.1× 88 0.1× 253 0.5× 70 0.2× 235 0.9× 53 1.2k

Countries citing papers authored by Amit Bhave

Since Specialization
Citations

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

Fields of papers citing papers by Amit Bhave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Bhave

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Bhave. A scholar is included among the top collaborators of Amit Bhave 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 Amit Bhave. Amit Bhave 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.
Tan, Yong Ren, George Brownbridge, Jethro Akroyd, et al.. (2025). Beyond connected digital twins – Can digital twins really deliver sustainable cities?. Sustainable Cities and Society. 131. 106596–106596.
2.
Jelinek, Thorsten, Amit Bhave, Michael Max Bühler, et al.. (2024). International Collaboration: Mainstreaming Artificial Intelligence and Cyberphysical Systems for Carbon Neutrality. URN-Resolver at the German National Library (German National Library). 2. 26–34. 10 indexed citations
3.
Sielker, Franziska, Jethro Akroyd, Amit Bhave, et al.. (2023). The conundrum in smart city governance: Interoperability and compatibility in an ever-growing ecosystem of digital twins. SHILAP Revista de lepidopterología. 5. 26 indexed citations
4.
Akroyd, Jethro, et al.. (2022). Universal Digital Twin: Land use. SHILAP Revista de lepidopterología. 3. 19 indexed citations
5.
Akroyd, Jethro, Sebastian Mosbach, Amit Bhave, & Markus Kraft. (2021). Universal Digital Twin - A Dynamic Knowledge Graph. SHILAP Revista de lepidopterología. 2. 101 indexed citations
6.
Brownbridge, George, et al.. (2020). Deep kernel learning approach to engine emissions modeling. SHILAP Revista de lepidopterología. 1. 11 indexed citations
7.
Akroyd, Jethro, Nick A. Eaves, Alastair G. Smith, et al.. (2020). Investigation of the impact of the configuration of exhaust after-treatment system for diesel engines. Applied Energy. 267. 114844–114844. 57 indexed citations
8.
Focşa, Cristian, Jennifer A. Noble, Yvain Carpentier, et al.. (2020). Multi-technique physico-chemical characterization of particles generated by a gasoline engine: Towards measuring tailpipe emissions below 23 nm. Atmospheric Environment. 235. 117642–117642. 9 indexed citations
9.
Eaves, Nick A., Sebastian Mosbach, Jiawei Lai, et al.. (2019). Model Guided Application for Investigating Particle Number (PN) Emissions in GDI Spark Ignition Engines. SAE International Journal of Advances and Current Practices in Mobility. 1(1). 76–88. 5 indexed citations
10.
Patzschke, Clemens F., Clara F. Heuberger, Lei Zhu, et al.. (2018). Closing the carbon cycle to maximise climate change mitigation: power-to-methanolvs.power-to-direct air capture. Sustainable Energy & Fuels. 2(6). 1153–1169. 62 indexed citations
11.
Smallbone, Andrew, et al.. (2014). High-Dimensional Sensitivity Analysis Applied at Vehicle Component and System Level in the Context of CO<sub>2</sub> Exhaust Emissions. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
12.
Brownbridge, George, Pooya Azadi, Andrew Smallbone, et al.. (2013). The future viability of algae-derived biodiesel under economic and technical uncertainties. Bioresource Technology. 151. 166–173. 73 indexed citations
13.
Bhave, Amit, et al.. (2011). Optimisation of Injection Strategy, Combustion Characteristics and Emissions for IC Engines Using Advanced Simulation Technologies. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
14.
Morgan, Neal, Andrew Smallbone, Amit Bhave, et al.. (2010). Mapping surrogate gasoline compositions into RON/MON space. Combustion and Flame. 157(6). 1122–1131. 222 indexed citations
15.
Smallbone, Andrew, Neal Morgan, Amit Bhave, et al.. (2010). Simulating Combustion of Practical Fuels and Blends for Modern Engine Applications Using Detailed Chemical Kinetics. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 indexed citations
16.
Smallbone, Andrew, et al.. (2010). Delivering authentic experiences for engineering students and professionals through e-labs. Durham Research Online (Durham University). 39. 1085–1090. 29 indexed citations
17.
Cao, Li, et al.. (2009). Influence of Injection Timing and Piston Bowl Geometry on PCCI Combustion and Emissions. SAE International Journal of Engines. 2(1). 1019–1033. 58 indexed citations
18.
Mosbach, Sebastian, et al.. (2007). Dual injection homogeneous charge compression ignition engine simulation using a stochastic reactor model. International Journal of Engine Research. 8(1). 41–50. 48 indexed citations
19.
Amnéus, Per, Martin Tunér, Fabian Mauß, et al.. (2007). Formaldehyde and Hydroxyl Radicals in an HCCI Engine - Calculations and LIF-Measurements. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
20.
Montorsi, Luca, Fabian Mauß, Gian Marco Bianchi, Amit Bhave, & Markus Kraft. (2003). Analysis of the HCCI Combustion of a Turbocharged Truck Engine Using a Stochastic Reactor Model. IRIS UNIMORE (University of Modena and Reggio Emilia). 235–246. 16 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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