Vineet Singh Sikarwar

4.8k citations
52 papers · 3.5k indexed · 5 hit papers · h-index 22

Vineet Singh Sikarwar

46 papers receiving 3.4k citations

Hit Papers

A critical review on bio...1222016202620192022250500750

Peers

Vineet Singh Sikarwar
Comparison fields: 5 of 107
  • Catalysis 645
  • Industrial and Manufacturing Engineering 474
  • Energy Engineering and Power Technology 154
  • Biomedical Engineering 2.1k
  • Pollution 342
Replace Zhanlong Song with:
Zhanlong Song China
Marco Baratieri Italy
Suzana Yusup Malaysia
Nakorn Tippayawong Thailand
Muhammad Naqvi Pakistan
Ningbo Gao China
Isam Janajreh United Arab Emirates
Abdul Raheem China
Mark Mba Wright United States
Pietro Bartocci Italy
Vineet Singh Sikarwar relative to Zhanlong Song China Zhanlong Song's profile →
Citations per field
00.5×1.5×1.9×
Zhanlong Song · 1×
Citations per year

Countries citing papers authored by Vineet Singh Sikarwar

Since Specialization
Citations

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

Fields of papers citing papers by Vineet Singh Sikarwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vineet Singh Sikarwar. 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 Vineet Singh Sikarwar. The network helps show where Vineet Singh Sikarwar may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vineet Singh Sikarwar, 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 Vineet Singh Sikarwar Line = papers co-authored together Vineet Singh Sikarwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
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13 202329
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A critical review on biomass pyrolysis: Reaction mechanisms, process modeling and potential challengesbreakdown →
2023122
15 202320
16 202260
17 20223
18 202130
19 202158
20 202098

About Vineet Singh Sikarwar

Vineet Singh Sikarwar is a scholar working on Catalysis, Renewable Energy, Sustainability and the Environment and Industrial and Manufacturing Engineering, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Solar-Powered Water Purification Methods (13 papers), Thermochemical Biomass Conversion Processes (12 papers), Solar Thermal and Photovoltaic Systems (11 papers), Catalysts for Methane Reforming (9 papers), Membrane Separation Technologies (8 papers), Catalytic Processes in Materials Science (6 papers), Carbon Dioxide Capture Technologies (5 papers) and Recycling and Waste Management Techniques (5 papers). The work is most often cited by research in Catalysis (645 citations), Industrial and Manufacturing Engineering (474 citations) and Energy Engineering and Power Technology (154 citations). Vineet Singh Sikarwar has collaborated with scholars based in Czechia, India and Belgium. Frequent co-authors include Ming Zhao, Paul S. Fennell, Nilay Shah, Edward J. Anthony, Muhammad Zaki Memon, Peter T. Clough, Xia Zhong, Joseph G. Yao, Michal Jeremiáš and Dionysios D. Dionysiou.

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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