Prerna Jain

632 total citations
65 papers, 431 citations indexed

About

Prerna Jain is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Prerna Jain has authored 65 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 12 papers in Control and Systems Engineering and 11 papers in Automotive Engineering. Recurrent topics in Prerna Jain's work include Smart Grid Energy Management (22 papers), Electric Power System Optimization (22 papers) and Electric Vehicles and Infrastructure (18 papers). Prerna Jain is often cited by papers focused on Smart Grid Energy Management (22 papers), Electric Power System Optimization (22 papers) and Electric Vehicles and Infrastructure (18 papers). Prerna Jain collaborates with scholars based in India, United Kingdom and Cyprus. Prerna Jain's co-authors include Rohit Bhakar, Kailash Chand Sharma, Sanjeev Sharma, Vaiju Kalkhambkar, Hemant Kumar Meena, Devika Tayal, Kritika Saxena, V. Srinivasan, Jitendra Kumar and Binita Goswami and has published in prestigious journals such as Blood, Cancer Research and Energy Conversion and Management.

In The Last Decade

Prerna Jain

56 papers receiving 415 citations

Peers

Prerna Jain
Bader Alharbi Saudi Arabia
J. Esteves Portugal
Saeed Alyami Saudi Arabia
Prerna Jain
Citations per year, relative to Prerna Jain Prerna Jain (= 1×) peers Paweł Kostyła

Countries citing papers authored by Prerna Jain

Since Specialization
Citations

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

Fields of papers citing papers by Prerna Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerna Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Prerna Jain. A scholar is included among the top collaborators of Prerna Jain 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 Prerna Jain. Prerna Jain 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
2.
Bhakar, Rohit, et al.. (2024). Optimal reconciliation of hierarchical wind energy forecasts utilizing temporal correlation. Energy Conversion and Management. 301. 118053–118053. 4 indexed citations
3.
Tayal, Devika, Prerna Jain, & Binita Goswami. (2024). D-dimer – a multifaceted molecule. Hormone Molecular Biology and Clinical Investigation. 45(2). 75–84. 6 indexed citations
4.
Jain, Prerna, et al.. (2024). Hematological and clinical profiling of chronic obstructive pulmonary disease: a comprehensive study. Monaldi Archives for Chest Disease. 95(3).
5.
Jain, Prerna, et al.. (2023). Primary Infertility: A Rural-based Study of Associated Risk Factors in North-west Part of India. 14(1). 42–46. 1 indexed citations
6.
Bhakar, Rohit, et al.. (2023). Optimal reconciliation of hierarchical wind power forecasts of correlated wind farms. Sustainable Energy Grids and Networks. 35. 101091–101091. 3 indexed citations
7.
Tayal, Devika, et al.. (2023). Point-of-care test for tuberculosis - a boon in diagnosis. Monaldi Archives for Chest Disease. 94(1). 4 indexed citations
9.
Meena, Hemant Kumar, et al.. (2023). Forecasting of EVs Charging Behavior Using Deep Neural Networks. 1–6. 3 indexed citations
10.
Jain, Prerna, et al.. (2023). Resilience Metrics for Integrated Energy Systems: A Review. 1–6. 1 indexed citations
11.
Tayal, Devika, et al.. (2023). Diabetes mellitus in acute exacerbation of chronic obstructive pulmonary disease – the tip of the iceberg. Monaldi Archives for Chest Disease. 94(4).
14.
Meena, Hemant Kumar, et al.. (2023). Prediction of EV Energy consumption Using Random Forest And XGBoost. 1–6. 16 indexed citations
15.
Jain, Prerna, et al.. (2023). Risk-averse integrated DR and dynamic V2G scheduling of parking lot operator for enhanced market efficiency. Energy. 275. 127428–127428. 15 indexed citations
16.
Jain, Prerna, et al.. (2021). Transactive Energy Management Of Solar Integrated Villages In India. 1–6. 2 indexed citations
17.
Jain, Prerna, et al.. (2021). Risk‐averse integrated demand response and dynamic G2V charge scheduling of an electric vehicle aggregator to support grid stability. International Transactions on Electrical Energy Systems. 31(5). 9 indexed citations
18.
Jain, Prerna, et al.. (2020). Stochastic security constrained unit commitment with battery energy storage and wind power integration. International Transactions on Electrical Energy Systems. 30(10). 11 indexed citations
19.
Vijayvargy, Lokesh & Prerna Jain. (2014). STRATEGIC EVALUATION OF DISTRIBUTED POWER GENERATION TECHNOLOGY: A SUSTAINABLE APPROACH. RePEc: Research Papers in Economics. 3(2). 31–44. 1 indexed citations
20.
Mishra, Bimal Kumar, et al.. (2012). Modeling of Optically Tailored Noise Parameters of MOSFET. Computational intelligence. 2 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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