Midhat Talibi

975 total citations
44 papers, 737 citations indexed

About

Midhat Talibi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Midhat Talibi has authored 44 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Fluid Flow and Transfer Processes, 25 papers in Computational Mechanics and 15 papers in Automotive Engineering. Recurrent topics in Midhat Talibi's work include Advanced Combustion Engine Technologies (34 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (15 papers). Midhat Talibi is often cited by papers focused on Advanced Combustion Engine Technologies (34 papers), Combustion and flame dynamics (25 papers) and Vehicle emissions and performance (15 papers). Midhat Talibi collaborates with scholars based in United Kingdom, Nigeria and Canada. Midhat Talibi's co-authors include Nicos Ladommatos, Paul Hellier, Ramanarayanan Balachandran, Aaron Eveleigh, Robert Morgan, Saul Purton, Lamya Al‐Haj, N. Swaminathan, Nguyen Anh Khoa Doan and Roberto Volpe and has published in prestigious journals such as Environmental Science & Technology, International Journal of Hydrogen Energy and Atmospheric Environment.

In The Last Decade

Midhat Talibi

34 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Midhat Talibi United Kingdom 13 546 301 272 228 164 44 737
Sabato Iannaccone Italy 15 688 1.3× 436 1.4× 226 0.8× 500 2.2× 183 1.1× 45 938
Grzegorz Przybyła Poland 15 618 1.1× 319 1.1× 193 0.7× 274 1.2× 406 2.5× 74 888
Tawfik Badawy United Kingdom 18 479 0.9× 278 0.9× 303 1.1× 137 0.6× 151 0.9× 31 712
M. Gambino Italy 14 500 0.9× 314 1.0× 177 0.7× 434 1.9× 176 1.1× 34 811
Sam Shamun Sweden 14 503 0.9× 268 0.9× 235 0.9× 259 1.1× 168 1.0× 23 596
Zhuoyao He China 19 787 1.4× 391 1.3× 372 1.4× 344 1.5× 330 2.0× 60 932
Kazutoshi Mori Japan 15 667 1.2× 415 1.4× 217 0.8× 424 1.9× 267 1.6× 24 870
Agnese Magno Italy 15 424 0.8× 217 0.7× 152 0.6× 257 1.1× 146 0.9× 33 523
Javier Barba Spain 15 444 0.8× 423 1.4× 206 0.8× 209 0.9× 169 1.0× 23 723
Zbigniew Stępień Poland 12 374 0.7× 239 0.8× 98 0.4× 287 1.3× 168 1.0× 76 586

Countries citing papers authored by Midhat Talibi

Since Specialization
Citations

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

Fields of papers citing papers by Midhat Talibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Midhat Talibi

This figure shows the co-authorship network connecting the top 25 collaborators of Midhat Talibi. A scholar is included among the top collaborators of Midhat Talibi 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 Midhat Talibi. Midhat Talibi 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.
Talibi, Midhat, et al.. (2025). Effect of hydrogen enrichment on the dynamical transition to self-excited thermoacoustic instability of a laboratory-scale dual-can combustor. International Journal of Hydrogen Energy. 111. 159–170. 2 indexed citations
2.
Ducci, Andrea, et al.. (2025). Characterisation of piloted single-nozzle lean direct injection burners with angled hydrogen jet injection. International Journal of Hydrogen Energy. 188. 152135–152135.
3.
Talibi, Midhat, et al.. (2025). Influences of momentum flux ratio and fuel injection on flame stabilisation in a lean direct injection burner. Proceedings of the Combustion Institute. 41. 105956–105956.
4.
Balachandran, Ramanarayanan, et al.. (2025). Experimental investigation of the dynamics of partially premixed hydrogen flames in a lean direct injection (LDI) combustor. International Journal of Hydrogen Energy. 129. 279–290. 1 indexed citations
5.
Balachandran, Ramanarayanan, et al.. (2024). Flame Characteristics of a Piloted Single-Nozzle Hydrogen Lean Direct Injection (LDI) Burner. 2 indexed citations
7.
Füri, Marc, et al.. (2024). Investigation of Viscor and Methanol Spray Dynamics Using Proper Orthogonal Decomposition in Siemens Energy Industrial Atomizers. Journal of Engineering for Gas Turbines and Power. 147(1).
8.
Talibi, Midhat, et al.. (2024). Investigation of Ammonia/Hydrogen Mixtures and Pilot-Split Strategies in a Laboratory-Scale Radial Swirl Combustor. Journal of Engineering for Gas Turbines and Power. 147(4).
9.
Ahmed, Pervez, et al.. (2023). Scaling of Flame Describing Functions in Premixed Swirling Flames. Flow Turbulence and Combustion. 111(3). 929–951.
10.
Talibi, Midhat, et al.. (2023). Biodiesel exhaust particle airway toxicity and the role of polycyclic aromatic hydrocarbons. Ecotoxicology and Environmental Safety. 259. 115013–115013. 7 indexed citations
11.
Hellier, Paul, et al.. (2023). Effects of fuel composition at varying air-fuel ratio on knock resistance during spark-ignition combustion. Fuel. 344. 128015–128015. 3 indexed citations
13.
Talibi, Midhat, et al.. (2022). PAH formation characteristics in hydrogen-enriched non-premixed hydrocarbon flames. Fuel. 323. 124407–124407. 4 indexed citations
14.
Volpe, Roberto, et al.. (2021). In situ observation of the evolution of polyaromatic tar precursors in packed-bed biomass pyrolysis. Reaction Chemistry & Engineering. 6(9). 1538–1547. 9 indexed citations
15.
Talibi, Midhat, et al.. (2020). Impact of local secondary gas addition on the dynamics of self-excited ethylene flames. International Journal of Thermofluids. 9. 100057–100057. 10 indexed citations
16.
Talibi, Midhat, et al.. (2019). Influence of Combustion Characteristics and Fuel Composition on Exhaust PAHs in a Compression Ignition Engine. Energies. 12(13). 2575–2575. 22 indexed citations
17.
Talibi, Midhat, Paul Hellier, & Nicos Ladommatos. (2017). Investigating the Combustion and Emissions Characteristics of Biomass-Derived Platform Fuels as Gasoline Extenders in a Single Cylinder Spark-Ignition Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
18.
Talibi, Midhat, Paul Hellier, Ramanarayanan Balachandran, & Nicos Ladommatos. (2014). The Influence Of Natural Gas And Hydrogen Co-combustion With Diesel Fuel On Engine Exhaust Emissions And In-cylinder Gas Composition.
19.
Hellier, Paul, Lamya Al‐Haj, Midhat Talibi, Saul Purton, & Nicos Ladommatos. (2013). Combustion and emissions characterization of terpenes with a view to their biological production in cyanobacteria. Fuel. 111. 670–688. 37 indexed citations
20.
Bayada, Guy, Mahdi Boukrouche, & Midhat Talibi. (1995). The Transient Lubrication Problem as a Generalized Hele-Shaw Type Problem. Zeitschrift für Analysis und ihre Anwendungen. 14(1). 59–87. 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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