Sourav Diwania

656 total citations
21 papers, 449 citations indexed

About

Sourav Diwania is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering. According to data from OpenAlex, Sourav Diwania has authored 21 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Control and Systems Engineering. Recurrent topics in Sourav Diwania's work include Solar Thermal and Photovoltaic Systems (9 papers), Photovoltaic System Optimization Techniques (7 papers) and Microgrid Control and Optimization (6 papers). Sourav Diwania is often cited by papers focused on Solar Thermal and Photovoltaic Systems (9 papers), Photovoltaic System Optimization Techniques (7 papers) and Microgrid Control and Optimization (6 papers). Sourav Diwania collaborates with scholars based in India, South Korea and Saudi Arabia. Sourav Diwania's co-authors include Anwar Shahzad Siddiqui, Sanjay Agrawal, Rajeev Kumar, Sonveer Singh, Manoj Badoni, Maneesh Kumar, Rajveer Singh, Haroon Ashfaq, Varun Gupta and Sachidananda Sen and has published in prestigious journals such as Applied Energy, Neural Computing and Applications and ISA Transactions.

In The Last Decade

Sourav Diwania

19 papers receiving 433 citations

Peers

Sourav Diwania

RESE

EEE

CSE

Salam J. Yaqoob Iraq

A. Acuña Mexico

Juwel Chandra Mojumder Malaysia

Basim Belgasim Libya

Mohammad Alobaid Saudi Arabia

A.M. Elbreki Malaysia

Mohamed F.C. Esmail Egypt

K.O. Daffallah Saudi Arabia

M. S. Hassan Egypt

Soroush Mousavi Iran

Salam J. Yaqoob Iraq

Sourav Diwania

265 ×0.9

RESE

160 ×0.9

EEE

56 ×0.6

CSE

60 ×0.7

125 ×1.7

Citations per year, relative to Sourav Diwania Sourav Diwania (= 1×) peers Salam J. Yaqoob

Countries citing papers authored by Sourav Diwania

Since Specialization

Citations

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

Fields of papers citing papers by Sourav Diwania

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Diwania

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

All Works

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20 of 20 papers shown

Saxena, Vivek, Saibal Manna, B. K. Sharma, et al.. (2025). Evolutionary computing in energy systems integration: Techniques and applications. Energy Reports. 13. 6450–6478. 1 indexed citations

Saxena, Vivek, et al.. (2024). Modelling, solution and application of optimization techniques in HRES: From conventional to artificial intelligence. Applied Energy. 380. 125047–125047. 11 indexed citations

Diwania, Sourav, et al.. (2024). Insight into the Investigation of Thermo-Electrical Performance of Hybrid Photovoltaic-Thermal Air-Collector. Journal of The Institution of Engineers (India) Series B. 105(5). 1275–1283.

Khan, Raymond, et al.. (2024). Soil Nutrition Management using IoT and Machine Learning: Agri-Tech. 93–99.

Saxena, Vivek, et al.. (2024). Sustainable energy solutions: integrating hybrid CCHP systems with renewable technologies for efficient urban development. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(11). 8 indexed citations

Gupta, Varun, et al.. (2024). An innovative hybrid controller-based combined grid-connected hybrid renewable energy system. Electrical Engineering. 106(6). 7055–7072. 4 indexed citations

Kumar, Maneesh, et al.. (2023). Emission-averse techno-economical study for an isolated microgrid system with solar energy and battery storage. Electrical Engineering. 105(3). 1883–1896. 9 indexed citations

Kumar, Maneesh, Sachidananda Sen, A. K. Prajapati, & Sourav Diwania. (2023). A Comprehensive Power Management Approach for Hydrogen Fuel-cell-Based Hybrid EVs Using PID Controller. 4 indexed citations

Diwania, Sourav, et al.. (2022). Machine learning-based thermo-electrical performance improvement of nanofluid-cooled photovoltaic–thermal system. Energy & Environment. 35(4). 1793–1817. 18 indexed citations

10.

Diwania, Sourav, et al.. (2022). Performance assessment of a serpentine tube PVT system using Cu and TiO2 nanofluids: an experimental study. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(2). 26 indexed citations

11.

Diwania, Sourav, Rajeev Kumar, Maneesh Kumar, Varun Gupta, & Theyab R. Alsenani. (2022). Performance enrichment of hybrid photovoltaic thermal collector with different nano-fluids. Energy & Environment. 34(6). 1747–1769. 8 indexed citations

12.

Kumar, Maneesh, Sachidananda Sen, Himanshu Jain, & Sourav Diwania. (2022). Optimal Planning for Building Integrated Microgrid System (BIMGS) for Economic Feasibility with Renewable Energy Support. 1 indexed citations

13.

Kumar, Rajeev, et al.. (2021). An intelligent Hybrid Wind–PV farm as a static compensator for overall stability and control of multimachine power system. ISA Transactions. 123. 286–302. 37 indexed citations

14.

Kumar, Rajeev, et al.. (2021). Multimachine stability enhancement with hybrid PSO-BFOA based PV-STATCOM. Sustainable Computing Informatics and Systems. 32. 100615–100615. 28 indexed citations

15.

Diwania, Sourav, Anwar Shahzad Siddiqui, Sanjay Agrawal, & Rajeev Kumar. (2021). Modeling and assessment of the thermo-electrical performance of a photovoltaic-thermal (PVT) system using different nanofluids. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 43(4). 33 indexed citations

16.

Kumar, Rajeev, et al.. (2021). Performance assessment of the two metaheuristic techniques and their Hybrid for power system stability enhancement with PV-STATCOM. Neural Computing and Applications. 34(5). 3723–3744. 24 indexed citations

17.

Kumar, Rajeev, et al.. (2021). Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model. Energy & Environment. 33(7). 1441–1464. 14 indexed citations

18.

Diwania, Sourav, et al.. (2021). Hybrid GSA-CS assisted performance evaluation of single-channel PVT air collector. 41. 519–523. 1 indexed citations

19.

Diwania, Sourav, Sanjay Agrawal, Anwar Shahzad Siddiqui, & Sonveer Singh. (2019). Photovoltaic–thermal (PV/T) technology: a comprehensive review on applications and its advancement. International journal of energy and environmental engineering. 11(1). 33–54. 184 indexed citations

20.

Diwania, Sourav, Sanjay Agrawal, & Anwar Shahzad Siddiqui. (2018). Performance enhancement of single-channel glazed photovoltaic thermal module using Whale Optimisation Algorithm and its comparative study. International Journal of Ambient Energy. 42(4). 424–434. 6 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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