Sudhir V. Panse

691 citations
29 papers · 516 · h-index 13

Impact in

Papers in

Sudhir V. Panse

28 papers receiving 481 citations

Peers

Sudhir V. Panse
Comparison fields: 5 of 54
  • Renewable Energy, Sustainability and the Environment 375
  • Energy Engineering and Power Technology 15
  • Mechanical Engineering 176
  • Artificial Intelligence 115
  • Building and Construction 43
Replace Ali Ejaz with:
Ali Ejaz Pakistan
Bennett Widyolar United States
Syed Muhammad Ammar South Korea
Daniel Codd United States
Gopal Nandan India
Abdul Subhan United Arab Emirates
Lippong Tan Australia
Shenyi Wu United Kingdom
Janne Dragsted Denmark
Yousef N. Dabwan China
Sudhir V. Panse relative to Ali Ejaz Pakistan Ali Ejaz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sudhir V. Panse

Since Specialization
Citations

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

Fields of papers citing papers by Sudhir V. Panse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudhir V. Panse. 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 Sudhir V. Panse. The network helps show where Sudhir V. Panse may publish in the future.

Co-authors

The 14 scholars most cited alongside Sudhir V. Panse, 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 Sudhir V. Panse Line = papers co-authored together Sudhir V. Panse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 202159
3 201255
4 201349
5 201137
6 201434
7 199430
8 201322
9 201821
10 201717
11 202315
12 202214
13 202213
14 201812
15 201411
16 20209
17 20218
18 20176
19 20165
20 20215

About Sudhir V. Panse

Sudhir V. Panse is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 29 papers that have together received 516 indexed citations. Recurring topics across this work include Solar Thermal and Photovoltaic Systems (17 papers), Photovoltaic System Optimization Techniques (11 papers), Solar Radiation and Photovoltaics (7 papers), solar cell performance optimization (5 papers), Solar-Powered Water Purification Methods (5 papers), Building Energy and Comfort Optimization (3 papers), Solar Energy Systems and Technologies (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (375 citations), Energy Engineering and Power Technology (15 citations), Mechanical Engineering (176 citations), Artificial Intelligence (115 citations) and Building and Construction (43 citations). Sudhir V. Panse has collaborated with scholars based in India. Frequent co-authors include Jyeshtharaj B. Joshi, Vishwanath H. Dalvi, S.P. Deshmukh, Aniruddha B. Pandit, Arvind Kumar, Jayashree Ramadas, Channamallikarjun S. Mathpati, Sanjay M. Mahajani, Arun K. Nayak and V. D. Deshpande. Their work appears in journals such as Energy, Energy Conversion and Management, Renewable and Sustainable Energy Reviews, Solar Energy and Nature Climate Change.

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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