Deepak Ranjan Nayak

2.8k total citations · 1 hit paper
74 papers, 2.0k citations indexed

About

Deepak Ranjan Nayak is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepak Ranjan Nayak has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 29 papers in Neurology and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepak Ranjan Nayak's work include Brain Tumor Detection and Classification (28 papers), Machine Learning and ELM (19 papers) and AI in cancer detection (12 papers). Deepak Ranjan Nayak is often cited by papers focused on Brain Tumor Detection and Classification (28 papers), Machine Learning and ELM (19 papers) and AI in cancer detection (12 papers). Deepak Ranjan Nayak collaborates with scholars based in India, United Kingdom and China. Deepak Ranjan Nayak's co-authors include Banshidhar Majhi, Ratnakar Dash, Yudong Zhang, Ram Bilas Pachori, Shuihua Wang‎, Vaibhav Arora, Utkarsh Sinha, Soumya Ranjan Nayak, Xin Zhang and David S. Guttery and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Deepak Ranjan Nayak

69 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

2020 277 citations Soumya Ranjan Nayak, Deepak Ranjan Nayak et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Ranjan Nayak India	26	908	760	723	540	150	74	2.0k
Burhan Ergen Türkiye	25	1.2k 1.3×	1.1k 1.5×	878 1.2×	477 0.9×	132 0.9×	90	2.6k
Muhammad Sharif Pakistan	23	775 0.9×	574 0.8×	1.3k 1.8×	815 1.5×	114 0.8×	67	2.3k
Mesut Toğaçar Türkiye	22	1.2k 1.3×	1.2k 1.5×	761 1.1×	489 0.9×	109 0.7×	57	2.3k
Mohammed Elmogy Egypt	26	768 0.8×	910 1.2×	817 1.1×	397 0.7×	151 1.0×	169	2.5k
Majed Alhaisoni Saudi Arabia	29	1.0k 1.1×	671 0.9×	875 1.2×	574 1.1×	102 0.7×	104	2.5k
Tao Zhou China	25	1.1k 1.2×	1.1k 1.4×	1.3k 1.8×	292 0.5×	291 1.9×	97	3.0k
Fatih Özyurt Türkiye	15	723 0.8×	640 0.8×	779 1.1×	398 0.7×	154 1.0×	63	1.6k
Yi Ding China	24	497 0.5×	443 0.6×	1.1k 1.5×	484 0.9×	229 1.5×	125	2.0k
Xieping Gao China	22	529 0.6×	556 0.7×	933 1.3×	321 0.6×	209 1.4×	131	1.9k
Junding Sun China	18	462 0.5×	320 0.4×	612 0.8×	358 0.7×	146 1.0×	90	1.5k

Countries citing papers authored by Deepak Ranjan Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Ranjan Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Ranjan Nayak. 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 Deepak Ranjan Nayak. The network helps show where Deepak Ranjan Nayak may publish in the future.

Co-authorship network of co-authors of Deepak Ranjan Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Ranjan Nayak. A scholar is included among the top collaborators of Deepak Ranjan Nayak 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 Deepak Ranjan Nayak. Deepak Ranjan Nayak 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:

20 of 20 papers shown

Nayak, Deepak Ranjan, et al.. (2025). WMCF-Net: Wavelet pooling-based multiscale contextual fusion network for polyp classification. Biomedical Signal Processing and Control. 107. 107727–107727.

Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2025). Glaucoformer: Dual-Domain Global Transformer Network for Generalized Glaucoma Stage Classification. IEEE Journal of Biomedical and Health Informatics. 29(11). 8450–8459.

Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2024). AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. Image and Vision Computing. 146. 105042–105042. 8 indexed citations

Nair, Rajesh, et al.. (2024). Role of H3K27me3 and Ki-67 Labeling Index in Assessing the Biological Behavior of Meningiomas. World Neurosurgery. 194. 123514–123514.

Das, Dipankar & Deepak Ranjan Nayak. (2024). FJA-Net: A Fuzzy Joint Attention Guided Network for Classification of Glaucoma Stages. IEEE Transactions on Fuzzy Systems. 32(10). 5438–5448. 4 indexed citations

Dutta, Tapas Kumar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2024). GT-Net: global transformer network for multiclass brain tumor classification using MR images. Biomedical Engineering Letters. 14(5). 1069–1077. 11 indexed citations

Dutta, Tapas Kumar, Deepak Ranjan Nayak, & Yudong Zhang. (2023). ARM-Net: Attention-guided residual multiscale CNN for multiclass brain tumor classification using MR images. Biomedical Signal Processing and Control. 87. 105421–105421. 43 indexed citations

Nayak, Soumya Ranjan, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, & Ram Bilas Pachori. (2022). An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images. Diagnostics. 13(1). 131–131. 28 indexed citations

Kudva, Adarsh, et al.. (2022). Ewing’s sarcoma of the mandibular condyle in a young adult: a rare case report. SHILAP Revista de lepidopterología. 28(2). 25–25. 2 indexed citations

10.

Wang‎, Shuihua, Deepak Ranjan Nayak, David S. Guttery, Xin Zhang, & Yudong Zhang. (2020). COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis. Information Fusion. 68. 131–148. 188 indexed citations

11.

Zhang, Yudong, Deepak Ranjan Nayak, Xin Zhang, & Shuihua Wang‎. (2020). Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization. Journal of Ambient Intelligence and Humanized Computing. 28 indexed citations

12.

Nayak, Deepak Ranjan, et al.. (2019). An empirical evaluation of extreme learning machine: application to handwritten character recognition. Multimedia Tools and Applications. 78(14). 19495–19523. 29 indexed citations

13.

Nayak, Deepak Ranjan, Ratnakar Dash, Xiaojun Chang, Banshidhar Majhi, & Sambit Bakshi. (2018). Automated Diagnosis of Pathological Brain Using Fast Curvelet Entropy Features. IEEE Transactions on Sustainable Computing. 5(3). 416–427. 27 indexed citations

14.

Patra, Prashanta Kumar, et al.. (2018). A Gabor Wavelet Based Approach for Off-Line Recognition of ODIA Handwritten Numerals. International Journal of Engineering & Technology. 7(2.32). 253–253. 1 indexed citations

15.

Nayak, Deepak Ranjan, et al.. (2017). Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach. Expert Systems with Applications. 88. 152–164. 43 indexed citations

16.

Nayak, Deepak Ranjan, et al.. (2017). SOLITARY FIBROUS TUMORS OF THE NOSE AND PARANASAL SINUSES-OUR EXPERIENCE. XI(II). 11–14. 1 indexed citations

17.

Sharma, Swati, et al.. (2014). Sinonasal - Type Hemangiopericytoma of Nasal Cavity: A Rare Neoplasm- Case Report with a Brief Review of Literature. 3(3). 31–36. 3 indexed citations

18.

Mohammed, Jahangir & Deepak Ranjan Nayak. (2014). An efficient edge detection technique by two dimensional rectangular cellular automata. 93. 1–4. 13 indexed citations

19.

Nayak, Deepak Ranjan, et al.. (2008). Role of KTP-532 laser in management of oral submucous fibrosis. The Journal of Laryngology & Otology. 123(4). 418–421. 20 indexed citations

20.

Hazarika, Produl, et al.. (1998). Dual ectopic thyroid: a report of two cases. The Journal of Laryngology & Otology. 112(4). 393–395. 57 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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