M.O. Garg

2.3k citations
60 papers · 2.0k · h-index 23

Impact in

Papers in

M.O. Garg

59 papers receiving 1.9k citations

Peers

M.O. Garg
Comparison fields: 5 of 92
  • Renewable Energy, Sustainability and the Environment 382
  • Biomedical Engineering 928
  • Mechanical Engineering 533
  • Materials Chemistry 609
  • Analytical Chemistry 126
Replace S.M. Hosseini with:
S.M. Hosseini Iran
Min Xiao China
Shu Wang China
William J. DeSisto United States
Zuohua Liu China
Zhengqiu Yuan China
Maria Pilar Ruiz Ramiro Netherlands
Yan He China
Lei Gao China
Hongxia Liu China
M.O. Garg relative to S.M. Hosseini Iran S.M. Hosseini's profile →
Citations per field
00.5×2×2.5×
S.M. Hosseini · 1×
Citations per year

Countries citing papers authored by M.O. Garg

Since Specialization
Citations

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

Fields of papers citing papers by M.O. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.O. Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.O. Garg Line = papers co-authored together M.O. Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015299
2 2013190
3 2016190
4 2018116
5 2012114
6 201282
7 201674
8 201969
9 201563
10 201961
11 202045
12 200640
13 201639
14 200839
15 200138
16 202237
17 201337
18 202034
19 200633
20 201031

About M.O. Garg

M.O. Garg is a scholar working on Condensed Matter Physics, Biomedical Engineering, Analytical Chemistry, Inorganic Chemistry and Mechanical Engineering, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (13 papers), Petroleum Processing and Analysis (9 papers), Zeolite Catalysis and Synthesis (9 papers), Catalysis for Biomass Conversion (9 papers), GaN-based semiconductor devices and materials (9 papers), Biodiesel Production and Applications (8 papers), Graphene research and applications (7 papers) and Semiconductor materials and interfaces (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (382 citations), Biomedical Engineering (928 citations), Mechanical Engineering (533 citations), Materials Chemistry (609 citations) and Analytical Chemistry (126 citations). M.O. Garg has collaborated with scholars based in India, Japan and Finland. Frequent co-authors include Rajendra V. Singh, Savita Kaul, Yogendra Kumar Sharma, Dinesh P. Bangwal, Jayati Trivedi, Mounika Aila, Pankaj K. Kanaujia, Nagabhatla Viswanadham, Bhera Ram Tak and Himanshu Nautiyal. Their work appears in journals such as Fuel, Petroleum Science and Technology, Journal of Industrial and Engineering Chemistry, RSC Advances and Applied Radiation and Isotopes.

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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