Arvind Tiwari

2.9k citations
37 papers · 2.4k · h-index 21

Impact in

Papers in

Arvind Tiwari

35 papers receiving 2.3k citations

Peers

Arvind Tiwari
Comparison fields: 5 of 73
  • Renewable Energy, Sustainability and the Environment 2.1k
  • Artificial Intelligence 661
  • Civil and Structural Engineering 347
  • Energy Engineering and Power Technology 46
  • Building and Construction 184
Replace Faramarz Sarhaddi with:
Faramarz Sarhaddi Iran
Ravita Lamba India
Behrooz M. Ziapour Iran
Emrah Bıyık Türkiye
Siyuan Fan China
Zhuo Meng China
Ahmed Khouya Morocco
Reza Alayi Iran
Michael J. Brandemuehl United States
Arvind Tiwari relative to Faramarz Sarhaddi Iran Faramarz Sarhaddi's profile →
Citations per field
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Faramarz Sarhaddi · 1×
Citations per year

Countries citing papers authored by Arvind Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005293
2 2005214
3 2007199
4 2009196
5 2006180
6 2009150
7 2006147
8 2016142
9 2009137
10 2008111
11 201190
12 201483
13 200974
14 201553
15 201638
16 201637
17 201934
18 201627
19 202226
20 201923

About Arvind Tiwari

Arvind Tiwari is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Electrical and Electronic Engineering, Civil and Structural Engineering and Mechanical Engineering, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (30 papers), Photovoltaic System Optimization Techniques (24 papers), Solar Radiation and Photovoltaics (12 papers), solar cell performance optimization (8 papers), Thermal Radiation and Cooling Technologies (6 papers), Building Energy and Comfort Optimization (3 papers), Solar Energy Systems and Technologies (2 papers) and Heat Transfer Mechanisms (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.1k citations), Artificial Intelligence (661 citations), Civil and Structural Engineering (347 citations), Energy Engineering and Power Technology (46 citations) and Building and Construction (184 citations). Arvind Tiwari has collaborated with scholars based in India, Saudi Arabia and Netherlands. Frequent co-authors include M. S. Sodha, M. S. Sodha, Swapnil Dubey, Anand S. Joshi, G.N. Tiwari, Sanjay Agrawal, Shiv Kumar, Avinash Chandra, J.C. Joshi and G.N. Tiwari. Their work appears in journals such as Solar Energy, Applied Energy, Energy Conversion and Management, Renewable Energy and Solar Energy Materials and Solar Cells.

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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