Parul Arora

649 total citations
12 papers, 440 citations indexed

About

Parul Arora is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Parul Arora has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Parul Arora's work include Energy Load and Power Forecasting (7 papers), Electric Power System Optimization (4 papers) and Solar Radiation and Photovoltaics (3 papers). Parul Arora is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Electric Power System Optimization (4 papers) and Solar Radiation and Photovoltaics (3 papers). Parul Arora collaborates with scholars based in India, Singapore and Australia. Parul Arora's co-authors include Bijaya Ketan Panigrahi, Himanshu Kumar, Ponnuthurai Nagaratnam Suganthan, Partha Pratim Biswas, Rammohan Mallipeddi, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Alok Kumar Gupta and Rohit Jain and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Chaos Solitons & Fractals and Neural Computing and Applications.

In The Last Decade

Parul Arora

11 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parul Arora India	7	173	146	135	127	41	12	440
Reza Paki Iran	6	96 0.6×	146 1.0×	71 0.5×	80 0.6×	42 1.0×	7	396
Mohammad Abid Bazaz India	11	270 1.6×	101 0.7×	86 0.6×	58 0.5×	38 0.9×	68	560
Neeraj Gupta India	12	345 2.0×	127 0.9×	194 1.4×	133 1.0×	112 2.7×	59	753
H. Swapnarekha India	7	34 0.2×	159 1.1×	59 0.4×	137 1.1×	41 1.0×	19	410
Amal I. Saba Egypt	8	48 0.3×	169 1.2×	150 1.1×	179 1.4×	50 1.2×	8	474
Toshitaka Hayashi Japan	8	31 0.2×	164 1.1×	70 0.5×	50 0.4×	36 0.9×	13	335
Gitanjali R. Shinde India	8	30 0.2×	138 0.9×	97 0.7×	92 0.7×	44 1.1×	51	383
Warda M. Shaban Egypt	11	48 0.3×	232 1.6×	30 0.2×	187 1.5×	10 0.2×	23	507
Misbah Ahmad Pakistan	9	37 0.2×	129 0.9×	42 0.3×	115 0.9×	11 0.3×	12	501
R.A. Conde-Gutiérrez Mexico	8	22 0.1×	74 0.5×	116 0.9×	52 0.4×	44 1.1×	16	301

Countries citing papers authored by Parul Arora

Since Specialization

Citations

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

Fields of papers citing papers by Parul Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parul Arora

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

All Works

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12 of 12 papers shown

Jalali, Seyed Mohammad Jafar, Parul Arora, Bijaya Ketan Panigrahi, et al.. (2022). An advanced deep neuroevolution model for probabilistic load forecasting. Electric Power Systems Research. 211. 108351–108351. 10 indexed citations

Arora, Parul, Seyed Mohammad Jafar Jalali, Bijaya Ketan Panigrahi, & Ponnuthurai Nagaratnam Suganthan. (2022). Deterministic Wind Speed Forecasting using Gradient Boosting Models. 164–169. 3 indexed citations

Arora, Parul, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, et al.. (2022). Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Transactions on Industrial Informatics. 19(3). 2814–2825. 61 indexed citations

Arora, Parul, Abbas Khosravi, Bijaya Ketan Panigrahi, & Ponnuthurai Nagaratnam Suganthan. (2021). Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(3). 628–637. 19 indexed citations

Arora, Parul, Bijaya Ketan Panigrahi, & Ponnuthurai Nagaratnam Suganthan. (2021). Shallow Neural Networks to Deep Neural Networks for Probabilistic Wind Forecasting. 377–382. 2 indexed citations

Arora, Parul, Himanshu Kumar, & Bijaya Ketan Panigrahi. (2020). Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India. Chaos Solitons & Fractals. 139. 110017–110017. 227 indexed citations

Sharma, Yogesh Kumar, et al.. (2020). Key Feature Extraction for Video Shot Boundary Detection using CNN. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 4763–4769.

Biswas, Partha Pratim, Parul Arora, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, & Bijaya Ketan Panigrahi. (2020). Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Computing and Applications. 33(12). 6753–6774. 88 indexed citations

Kumar, Himanshu, Parul Arora, & Bijaya Ketan Panigrahi. (2018). Wind Forecasting:Hybrid Statistical and Deep Neural Network Approaches. 62–67. 2 indexed citations

10.

Arora, Parul, Himanshu Kumar, & Bijaya Ketan Panigrahi. (2018). A Comparative Study for Short Term Wind Speed Forecasting using Statistical and Machine Learning Approaches. 200–205. 3 indexed citations

11.

Arora, Parul, et al.. (2013). Study of Artificial Neural Networks and Neural Implants. 10 indexed citations

12.

Arora, Parul, et al.. (2010). Synthesis of polymethyl methacrylate (PMMA) by batch emulsion polymerization. African Journal of Pure and Applied Chemistry. 4(8). 152–157. 15 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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