M. Masood

508 total citations
11 papers, 403 citations indexed

About

M. Masood is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, M. Masood has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Fluid Flow and Transfer Processes, 8 papers in Automotive Engineering and 6 papers in Biomedical Engineering. Recurrent topics in M. Masood's work include Advanced Combustion Engine Technologies (10 papers), Vehicle emissions and performance (8 papers) and Biodiesel Production and Applications (6 papers). M. Masood is often cited by papers focused on Advanced Combustion Engine Technologies (10 papers), Vehicle emissions and performance (8 papers) and Biodiesel Production and Applications (6 papers). M. Masood collaborates with scholars based in India and Saudi Arabia. M. Masood's co-authors include Nagarjuna Reddy Komalla, P. Ravi Kumar, Salem Algarni, Y.V.V. Satyanarayana Murthy, Syed Javed and Rahmath Ulla Baig and has published in prestigious journals such as International Journal of Hydrogen Energy, Fuel and Energy & Fuels.

In The Last Decade

M. Masood

10 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Masood India	7	372	253	209	107	103	11	403
Timothy Gatts United States	8	420 1.1×	239 0.9×	297 1.4×	98 0.9×	148 1.4×	9	450
Atsushi Sakane Japan	7	342 0.9×	203 0.8×	176 0.8×	144 1.3×	90 0.9×	13	379
C. Liew United States	9	470 1.3×	277 1.1×	338 1.6×	96 0.9×	169 1.6×	11	505
Chuanhui Cheng China	5	344 0.9×	240 0.9×	179 0.9×	105 1.0×	128 1.2×	5	391
Romualdas Juknelevičius Lithuania	8	280 0.8×	172 0.7×	125 0.6×	96 0.9×	124 1.2×	19	366
Gihun Lim South Korea	10	337 0.9×	155 0.6×	204 1.0×	111 1.0×	104 1.0×	17	384
K.M. Kalaiselvan India	4	453 1.2×	320 1.3×	266 1.3×	117 1.1×	133 1.3×	5	485
Vipin Dhyani India	7	328 0.9×	136 0.5×	159 0.8×	139 1.3×	96 0.9×	9	361
Wenwen Teng China	10	417 1.1×	298 1.2×	202 1.0×	131 1.2×	161 1.6×	13	467
Nashay Naeve China	8	396 1.1×	161 0.6×	239 1.1×	159 1.5×	114 1.1×	8	430

Countries citing papers authored by M. Masood

Since Specialization

Citations

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

Fields of papers citing papers by M. Masood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Masood

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

All Works

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11 of 11 papers shown

Javed, Syed, et al.. (2017). Artificial Neural Network modeling of a hydrogen dual fueled diesel engine characteristics: An experiment approach. International Journal of Hydrogen Energy. 42(21). 14750–14774. 45 indexed citations

Masood, M., et al.. (2016). DOE applied to multi-response optimisation study on performance, combustion and emission characteristics of a VCR diesel engine. International Journal of Ambient Energy. 38(8). 759–764. 2 indexed citations

Masood, M., et al.. (2015). Effect of pilot fuel injection operating pressure in hydrogen blended compression ignition engine: An experimental analysis. Fuel. 157. 279–284. 28 indexed citations

Masood, M., et al.. (2010). A CFD combustion analysis of a hydrogen-biodiesel dual fuel system.. World Applied Sciences Journal. 9(2). 144–150. 2 indexed citations

Masood, M., et al.. (2009). Performance evaluation of a hydrogen-ethanol fuelled engine. International Journal of Energy Technology and Policy. 7(2). 213–213. 1 indexed citations

Masood, M., et al.. (2009). Effect of ignition timing and compression ratio on the performance of a hydrogen–ethanol fuelled engine. International Journal of Hydrogen Energy. 34(16). 6945–6950. 85 indexed citations

Masood, M., et al.. (2008). Performance and Combustion Characteristics of a Hydrogen−Ethanol-Fuelled Engine. Energy & Fuels. 22(5). 3355–3362. 26 indexed citations

Masood, M.. (2007). Modelling and simulation with experimental verification of hydrogen-diesel dual-fuel premixed combustion and emission analysis. 1(4). 385–385. 1 indexed citations

Masood, M., et al.. (2007). Computer simulation of hydrogen–diesel dual fuel exhaust gas emissions with experimental verification. Fuel. 87(7). 1372–1378. 48 indexed citations

10.

Masood, M., et al.. (2007). Computational combustion and emission analysis of hydrogen–diesel blends with experimental verification. International Journal of Hydrogen Energy. 32(13). 2539–2547. 109 indexed citations

11.

Masood, M., et al.. (2006). Experimental Investigations on a Hydrogen-Diesel Dual Fuel Engine at Different Compression Ratios. Journal of Engineering for Gas Turbines and Power. 129(2). 572–578. 56 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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