Deevyankar Agarwal

607 total citations · 1 hit paper
10 papers, 413 citations indexed

About

Deevyankar Agarwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Deevyankar Agarwal has authored 10 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Deevyankar Agarwal's work include Machine Learning in Healthcare (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Deevyankar Agarwal is often cited by papers focused on Machine Learning in Healthcare (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Deevyankar Agarwal collaborates with scholars based in Spain, Oman and Portugal. Deevyankar Agarwal's co-authors include Isabel de la Torre Díez, Gonçalo Marques, Manuel Franco, Begonya García-Zapirain, Francisco Martín‐Rodriguez, M. Álvaro Berbís, Antonio Luna, Moolchand Sharma, Vivían Lipari and Susel Góngora Alonso and has published in prestigious journals such as IEEE Access, Sensors and Applied Soft Computing.

In The Last Decade

Deevyankar Agarwal

9 papers receiving 398 citations

Hit Papers

align trajectories

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.

Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network

2020 280 citations Gonçalo Marques, Deevyankar Agarwal et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deevyankar Agarwal Spain	6	185	182	81	78	38	10	413
Ahmad Waleed Salehi India	10	148 0.8×	189 1.0×	97 1.2×	116 1.5×	15 0.4×	14	535
Hatem Khater Egypt	12	124 0.7×	158 0.9×	86 1.1×	101 1.3×	18 0.5×	40	425
Ahmad Al Smadi China	9	76 0.4×	132 0.7×	74 0.9×	145 1.9×	13 0.3×	33	393
Xiaoyuan Lu China	7	118 0.6×	164 0.9×	122 1.5×	95 1.2×	10 0.3×	8	327
Haseeb Hassan China	13	166 0.9×	93 0.5×	151 1.9×	35 0.4×	108 2.8×	45	514
V. Seethalakshmi India	8	142 0.8×	165 0.9×	118 1.5×	61 0.8×	27 0.7×	22	472
Hossam El-Din Moustafa Egypt	12	159 0.9×	220 1.2×	110 1.4×	223 2.9×	12 0.3×	56	536
Thi Kieu Khanh Ho South Korea	8	148 0.8×	99 0.5×	38 0.5×	15 0.2×	40 1.1×	14	279
Rayan Krishnan United States	3	123 0.7×	157 0.9×	64 0.8×	14 0.2×	31 0.8×	3	385
Yuanyuan Chen China	10	228 1.2×	96 0.5×	122 1.5×	60 0.8×	21 0.6×	47	455

Countries citing papers authored by Deevyankar Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Deevyankar Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deevyankar Agarwal

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Malik, Kamal, et al.. (2024). Explainable Artificial Intelligence for Autonomous Vehicles. 2 indexed citations

2.

Agarwal, Deevyankar, et al.. (2024). Breast Carcinoma Prediction Through Integration of Machine Learning Models. IEEE Access. 12. 134635–134650.

3.

Agarwal, Deevyankar, et al.. (2023). Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network. Journal of Medical Systems. 47(1). 57–57. 26 indexed citations

4.

Sharma, Moolchand, et al.. (2023). Ensemble methods for computed tomography scan images to improve lung cancer detection and classification. Multimedia Tools and Applications. 83(17). 52867–52897. 21 indexed citations

5.

Agarwal, Deevyankar, et al.. (2022). End-to-End Deep Learning Architectures Using 3D Neuroimaging Biomarkers for Early Alzheimer’s Diagnosis. Mathematics. 10(15). 2575–2575. 11 indexed citations

6.

Agarwal, Aparna & Deevyankar Agarwal. (2022). Implication of online learning on the physical and mental well-being of students. 6(5). 366–369. 2 indexed citations

7.

Alonso, Susel Góngora, Gonçalo Marques, Deevyankar Agarwal, Isabel de la Torre Díez, & Manuel Franco. (2022). Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia. Sensors. 22(7). 2517–2517. 17 indexed citations

8.

Agarwal, Deevyankar, Gonçalo Marques, Isabel de la Torre Díez, et al.. (2021). Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review. Sensors. 21(21). 7259–7259. 51 indexed citations

9.

Chaudhary, Vikas, Moolchand Sharma, Prerna Sharma, & Deevyankar Agarwal. (2021). Deep Learning in Gaming and Animations. 3 indexed citations

10.

Marques, Gonçalo, Deevyankar Agarwal, & Isabel de la Torre Díez. (2020). Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network. Applied Soft Computing. 96. 106691–106691. 280 indexed citations breakdown →

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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