Mohammed Jaasim

401 total citations
9 papers, 356 citations indexed

About

Mohammed Jaasim is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Mohammed Jaasim has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Fluid Flow and Transfer Processes, 8 papers in Computational Mechanics and 3 papers in Automotive Engineering. Recurrent topics in Mohammed Jaasim's work include Advanced Combustion Engine Technologies (9 papers), Combustion and flame dynamics (8 papers) and Combustion and Detonation Processes (3 papers). Mohammed Jaasim is often cited by papers focused on Advanced Combustion Engine Technologies (9 papers), Combustion and flame dynamics (8 papers) and Combustion and Detonation Processes (3 papers). Mohammed Jaasim collaborates with scholars based in Saudi Arabia, Switzerland and Egypt. Mohammed Jaasim's co-authors include Hong G. Im, Yanzhao An, R. Vallinayagam, Bengt Johansson, Junseok Chang, Jaeheon Sim, Jihad Badra, Francisco E. Hernández Pérez, Nour Atef and S. Mani Sarathy and has published in prestigious journals such as Energy, Fuel and Energy & Fuels.

In The Last Decade

Mohammed Jaasim

9 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Jaasim Saudi Arabia	8	342	280	114	97	82	9	356
B. Giménez Spain	11	395 1.2×	289 1.0×	142 1.2×	128 1.3×	113 1.4×	31	448
Loïc de Francqueville France	11	338 1.0×	223 0.8×	168 1.5×	88 0.9×	63 0.8×	18	354
André Swarts United States	11	451 1.3×	335 1.2×	148 1.3×	202 2.1×	123 1.5×	29	486
Erik Doosje Netherlands	10	300 0.9×	185 0.7×	142 1.2×	88 0.9×	81 1.0×	14	334
Andrew B. Mansfield United States	8	300 0.9×	260 0.9×	58 0.5×	58 0.6×	163 2.0×	22	348
Manzhi Tan China	11	314 0.9×	135 0.5×	160 1.4×	165 1.7×	53 0.6×	16	356
G. Broustail France	3	374 1.1×	253 0.9×	79 0.7×	214 2.2×	65 0.8×	3	392
Darío López Pintor United States	16	548 1.6×	436 1.6×	114 1.0×	155 1.6×	154 1.9×	62	586
Ulf Aronsson Sweden	13	415 1.2×	285 1.0×	158 1.4×	180 1.9×	36 0.4×	14	429
Manuel Echeverri Marquez Saudi Arabia	13	511 1.5×	443 1.6×	108 0.9×	62 0.6×	259 3.2×	22	528

Countries citing papers authored by Mohammed Jaasim

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Jaasim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Jaasim

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

All Works

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9 of 9 papers shown

Jaasim, Mohammed, Efstathios-Al. Tingas, Francisco E. Hernández Pérez, & Hong G. Im. (2018). Computational singular perturbation analysis of super-knock in SI engines. Fuel. 225. 184–191. 16 indexed citations

An, Yanzhao, Mohammed Jaasim, R. Vallinayagam, Hong G. Im, & Bengt Johansson. (2018). In-Cylinder Combustion and Soot Evolution in the Transition from Conventional Compression Ignition (CI) Mode to Partially Premixed Combustion (PPC) Mode. Energy & Fuels. 32(2). 2306–2320. 31 indexed citations

An, Yanzhao, Mohammed Jaasim, R. Vallinayagam, et al.. (2018). Homogeneous charge compression ignition (HCCI) and partially premixed combustion (PPC) in compression ignition engine with low octane gasoline. Energy. 158. 181–191. 85 indexed citations

Naser, Nimal, Mohammed Jaasim, Nour Atef, et al.. (2017). On the effects of fuel properties and injection timing in partially premixed compression ignition of low octane fuels. Fuel. 207. 373–388. 38 indexed citations

An, Yanzhao, Mohammed Jaasim, R. Vallinayagam, et al.. (2017). Numerical simulation of combustion and soot under partially premixed combustion of low-octane gasoline. Fuel. 211. 420–431. 55 indexed citations

Atef, Nour, Jihad Badra, Mohammed Jaasim, Hong G. Im, & S. Mani Sarathy. (2017). Numerical investigation of injector geometry effects on fuel stratification in a GCI engine. Fuel. 214. 580–589. 40 indexed citations

Javed, Tamour, Jihad Badra, Mohammed Jaasim, et al.. (2016). Shock Tube Ignition Delay Data Affected by Localized Ignition Phenomena. Combustion Science and Technology. 189(7). 1138–1161. 26 indexed citations

Badra, Jihad, Jaeheon Sim, Ahmed Elwardany, et al.. (2016). Numerical Simulations of Hollow-Cone Injection and Gasoline Compression Ignition Combustion With Naphtha Fuels. Journal of Energy Resources Technology. 138(5). 58 indexed citations

Badra, Jihad, Jaeheon Sim, Ahmed Elwardany, et al.. (2015). Numerical Simulations of Hollow Cone Injection and Gasoline Compression Ignition Combustion With Naphtha Fuels. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 7 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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