Akshay Aggarwal

564 total citations · 1 hit paper
16 papers, 357 citations indexed

About

Akshay Aggarwal is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Akshay Aggarwal has authored 16 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ocean Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in Akshay Aggarwal's work include Reservoir Engineering and Simulation Methods (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers) and Oil and Gas Production Techniques (2 papers). Akshay Aggarwal is often cited by papers focused on Reservoir Engineering and Simulation Methods (5 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers) and Oil and Gas Production Techniques (2 papers). Akshay Aggarwal collaborates with scholars based in India, British Virgin Islands and United States. Akshay Aggarwal's co-authors include Rachna Jain, Nikita Jain, D. Jude Hemanth, Mamta Mittal, Pankaj Chopra, Pradeep Khanna, Gerrit Niezen, Harold Thimbleby, Vaibhav Kumar and Zeenat Iqbal and has published in prestigious journals such as Phytotherapy Research, Symmetry and Cognitive Systems Research.

In The Last Decade

Akshay Aggarwal

13 papers receiving 338 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

2019 277 citations Rachna Jain, Nikita Jain et al. Cognitive Systems Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Akshay Aggarwal	209	149	84	78	58	16	357
Rahul Sharma	198 0.9×	139 0.9×	108 1.3×	67 0.9×	46 0.8×	17	419
Nusrat Zerin Zenia	94 0.4×	89 0.6×	50 0.6×	27 0.3×	40 0.7×	14	419
Dan Pan	186 0.9×	187 1.3×	70 0.8×	130 1.7×	69 1.2×	28	474
Ho Yub Jung	179 0.9×	127 0.9×	181 2.2×	74 0.9×	70 1.2×	30	437
Manan Binth Taj Noor	94 0.4×	88 0.6×	47 0.6×	27 0.3×	40 0.7×	4	289
Marcia Hon	182 0.9×	133 0.9×	70 0.8×	74 0.9×	70 1.2×	2	281
Siqi Liu	160 0.8×	154 1.0×	93 1.1×	102 1.3×	54 0.9×	12	507
Farheen Ramzan	180 0.9×	136 0.9×	96 1.1×	69 0.9×	57 1.0×	7	387
Jyoti Islam	244 1.2×	225 1.5×	149 1.8×	95 1.2×	91 1.6×	5	503

Countries citing papers authored by Akshay Aggarwal

Since Specialization

Citations

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

Fields of papers citing papers by Akshay Aggarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Aggarwal

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

All Works

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16 of 16 papers shown

Aggarwal, Akshay, et al.. (2024). FACIAL EXPRESSION RECOGNITION. International Journal of Advanced Research. 12(1). 1109–1113.

Mohapatra, Sradhanjali, et al.. (2024). Phytotherapeutic approach for conquering menopausal syndrome and osteoporosis. Phytotherapy Research. 38(6). 2728–2763. 5 indexed citations

Aggarwal, Akshay, et al.. (2023). Downhole Estimation of Relative Permeability using Dynamic Formation Testers: A Novel Approach to Reduce the Uncertainty in Reservoir Modelling Study. 2 indexed citations

Jain, Rachna, Akshay Aggarwal, & Vaibhav Kumar. (2021). A review of deep learning-based disease detection in Alzheimer's patients. Elsevier eBooks. 1–19. 2 indexed citations

Aggarwal, Akshay, et al.. (2020). Video Caption Based Searching Using End-to-End Dense Captioning and Sentence Embeddings. Symmetry. 12(6). 992–992. 6 indexed citations

Aggarwal, Akshay & Daniel Zeman. (2020). Estimating POS Annotation Consistency of Different Treebanks in a Language. 93–110. 1 indexed citations

Jain, Rachna, Nikita Jain, Akshay Aggarwal, & D. Jude Hemanth. (2019). Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images. Cognitive Systems Research. 57. 147–159. 277 indexed citations breakdown →

Aggarwal, Akshay, et al.. (2018). Classification of Fake News by Fine-tuning Deep Bidirectional Transformers based Language Model. ICST Transactions on Scalable Information Systems. 163973–163973. 36 indexed citations

Aggarwal, Akshay, et al.. (2018). High-Speed Robust Simulation Delivers Fast, Detailed Results for a Complex Offshore Field. Offshore Technology Conference Asia.

10.

Aggarwal, Akshay, et al.. (2017). A Novel Approach to Rejuvenate Brown Field by Validating Dynamic Model Response with Near-Wellbore Saturation Monitoring. SPE Annual Technical Conference and Exhibition.

11.

Aggarwal, Akshay, Gerrit Niezen, & Harold Thimbleby. (2014). User experience evaluation through the brain's electrical activity. 491–500. 9 indexed citations

12.

Aggarwal, Akshay, et al.. (2012). Combined Uncertainty and History Matching Study of a Deepwater Turbidite Reservoir. SPE Annual Technical Conference and Exhibition. 2 indexed citations

13.

Aggarwal, Akshay. (2011). Performance of Assisted History Matching Techniques When Utilizing Multiple Initial Geologic Models. OakTrust (Texas A&M University Libraries). 1 indexed citations

14.

Chopra, Pankaj, et al.. (2011). Statistical Modeling Approach for Optimization of a Stationary Hook Hopper. Applied Mechanics and Materials. 110-116. 2821–2828. 1 indexed citations

15.

Chopra, Pankaj, et al.. (2011). Application of Full Factorial Design for Optimization of Feed Rate of Stationary Hook Hopper. International Journal of Modeling and Optimization. 205–209. 11 indexed citations

16.

Aggarwal, Akshay, et al.. (2010). Vision based collision avoidance by plotting a virtual obstacle on depth map. 727. 532–536. 4 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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