Nikhilkumar Shah

537 total citations
25 papers, 427 citations indexed

About

Nikhilkumar Shah is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Nikhilkumar Shah has authored 25 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Renewable Energy, Sustainability and the Environment, 12 papers in Mechanical Engineering and 10 papers in Building and Construction. Recurrent topics in Nikhilkumar Shah's work include Building Energy and Comfort Optimization (10 papers), Geothermal Energy Systems and Applications (6 papers) and Integrated Energy Systems Optimization (5 papers). Nikhilkumar Shah is often cited by papers focused on Building Energy and Comfort Optimization (10 papers), Geothermal Energy Systems and Applications (6 papers) and Integrated Energy Systems Optimization (5 papers). Nikhilkumar Shah collaborates with scholars based in United Kingdom, Ireland and India. Nikhilkumar Shah's co-authors include Neil Hewitt, Ming Jun Huang, Jayanta Deb Mondol, Chris Wilson, Supriya Chakrabarti, Patrick Keatley, Richard Green, Raymond Byrne, Hani Nassif and Abhijit Ganguly and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Energy Conversion and Management.

In The Last Decade

Nikhilkumar Shah

24 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhilkumar Shah United Kingdom 12 199 189 150 137 56 25 427
E. Lävemann Germany 5 203 1.0× 430 2.3× 100 0.7× 122 0.9× 49 0.9× 6 616
Michael Radspieler Germany 3 160 0.8× 377 2.0× 78 0.5× 108 0.8× 52 0.9× 4 539
Ali Shirazi Australia 9 196 1.0× 209 1.1× 79 0.5× 59 0.4× 114 2.0× 16 435
Harald Drück Germany 15 269 1.4× 531 2.8× 138 0.9× 99 0.7× 43 0.8× 53 736
Huaican Liu China 9 103 0.5× 218 1.2× 61 0.4× 101 0.7× 38 0.7× 15 361
Gabriele Ferruzzi Italy 9 310 1.6× 257 1.4× 158 1.1× 129 0.9× 19 0.3× 10 511
Sathiya Satchi Christopher India 10 403 2.0× 300 1.6× 72 0.5× 84 0.6× 47 0.8× 22 580
Teng Jia China 13 235 1.2× 280 1.5× 85 0.6× 66 0.5× 25 0.4× 28 468
Philippe Papillon France 12 158 0.8× 296 1.6× 116 0.8× 63 0.5× 20 0.4× 30 437
M. Benzakour Amine Morocco 10 423 2.1× 232 1.2× 56 0.4× 61 0.4× 107 1.9× 15 547

Countries citing papers authored by Nikhilkumar Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nikhilkumar Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhilkumar Shah

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

All Works

20 of 20 papers shown
1.
Chakrabarti, Supriya, et al.. (2024). Performance Prediction and Optimization of Nanofluid-Based PV/T Using Numerical Simulation and Response Surface Methodology. Nanomaterials. 14(9). 774–774. 5 indexed citations
2.
Song, Hannah, Sarah Underwood, Yihua Cai, et al.. (2024). MICROFLUIDIC SEPARATION TECHNOLOGY IMPROVES PURITY AND YIELD OF PBMCS FOR CELL MANUFACTURING APPLICATIONS. Cytotherapy. 26(6). S26–S26. 1 indexed citations
3.
Pugsley, Adrian, et al.. (2024). Experimental investigation on the performance of MXene/C-dot hybrid nanofluid-based photovoltaic/thermal system: An Energy, Exergy, and Enviro-Economic analysis. Solar Energy Materials and Solar Cells. 272. 112904–112904. 13 indexed citations
4.
Cherian, G, et al.. (2024). Corrosion analysis and performance investigation of hybrid MXene/C-dot Nanofluid-Based direct absorption solar collector. Solar Energy. 269. 112317–112317. 20 indexed citations
5.
Ganguly, Abhijit, et al.. (2023). Thermo-optical characterization of novel MXene/Carbon-dot hybrid nanofluid for heat transfer applications. Journal of Cleaner Production. 434. 140395–140395. 32 indexed citations
6.
Shah, Nikhilkumar, et al.. (2022). Numerical investigation and feasibility study on MXene/water nanofluid based photovoltaic/thermal system. Ulster University Research Portal (Ulster University). 2. 100010–100010. 43 indexed citations
7.
Hewitt, Neil, et al.. (2021). Industrial heat pumps in the UK: current constraints and future possibilities.. Institut International du Froid. 1 indexed citations
8.
Shah, Nikhilkumar, et al.. (2019). Solar-assisted geothermal heat pump models for space heating and cooling. International Journal of Energy and Water Resources. 3(4). 329–341. 21 indexed citations
9.
10.
Huang, Ming Jun, Nikhilkumar Shah, Chris Wilson, et al.. (2019). Techno-economic assessment of cascade air-to-water heat pump retrofitted into residential buildings using experimentally validated simulations. Zenodo (CERN European Organization for Nuclear Research).
11.
Huang, Ming Jun, et al.. (2019). Tariff-based load shifting for domestic cascade heat pump with enhanced system energy efficiency and reduced wind power curtailment. Applied Energy. 257. 113976–113976. 41 indexed citations
12.
Shah, Nikhilkumar, Chris Wilson, Ming Jun Huang, & Neil Hewitt. (2018). Analysis on field trial of high temperature heat pump integrated with thermal energy storage in domestic retrofit installation. Applied Thermal Engineering. 143. 650–659. 18 indexed citations
13.
Keatley, Patrick, et al.. (2018). How heat pumps and thermal energy storage can be used to manage wind power: A study of Ireland. Energy. 157. 539–549. 59 indexed citations
14.
Shah, Nikhilkumar, et al.. (2017). High Temperature Air-Water Heat Pump and Energy Storage: Validation of TRNSYS Models. Ulster University Research Portal (Ulster University). 4 indexed citations
15.
Huang, Ye, Yaodong Wang, Haisheng Chen, et al.. (2016). Performance analysis of biofuel fired trigeneration systems with energy storage for remote households. Applied Energy. 186. 530–538. 24 indexed citations
16.
Shah, Nikhilkumar, Ming Jun Huang, & Neil Hewitt. (2016). Performance analysis of diesel engine heat pump incorporated with heat recovery. Applied Thermal Engineering. 108. 181–191. 9 indexed citations
17.
Shah, Nikhilkumar, Ming Jun Huang, & Neil Hewitt. (2015). Experimental study of a diesel engine heat pump in heating mode for domestic retrofit application. Applied Thermal Engineering. 98. 522–531. 10 indexed citations
18.
Shah, Nikhilkumar & Neil Hewitt. (2015). High temperature heat pump operational experience as a retrofit technology in domestic sector. 1–7. 6 indexed citations
19.
Nassif, Hani, et al.. (2008). Field investigation and performance of bridge approach slabs. Structure and Infrastructure Engineering. 5(2). 105–121. 11 indexed citations
20.
Nassif, Hani, et al.. (2002). Finite Element Modeling of Bridge Approach and Transition Slabs. 7 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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