Nitesh Pradhan

490 total citations
24 papers, 223 citations indexed

About

Nitesh Pradhan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nitesh Pradhan has authored 24 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nitesh Pradhan's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Artificial Intelligence in Healthcare (5 papers). Nitesh Pradhan is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Artificial Intelligence in Healthcare (5 papers). Nitesh Pradhan collaborates with scholars based in India, Portugal and Ecuador. Nitesh Pradhan's co-authors include Vijaypal Singh Dhaka, Geeta Rani, Rajesh Wadhvani, Manasi Gyanchandani, Himanshu Chaudhary, Deepak Sinwar, Joel J. P. C. Rodrigues, Sahil Verma, Saumya Pandey and Amna Parveen and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Nitesh Pradhan

18 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitesh Pradhan India 10 107 62 44 36 16 24 223
Erdal Başaran Türkiye 9 128 1.2× 59 1.0× 65 1.5× 20 0.6× 48 3.0× 20 313
Dmitrii Usynin Germany 6 310 2.9× 90 1.5× 42 1.0× 32 0.9× 11 0.7× 9 412
Farida Mohsen Qatar 7 125 1.2× 99 1.6× 32 0.7× 25 0.7× 24 1.5× 17 316
Zuojin Hu China 6 81 0.8× 68 1.1× 65 1.5× 18 0.5× 20 1.3× 19 217
Bin Xia China 8 92 0.9× 113 1.8× 111 2.5× 34 0.9× 15 0.9× 19 355
Lourdes Durán-López Spain 9 160 1.5× 143 2.3× 64 1.5× 38 1.1× 16 1.0× 23 288
Xiaoman Zhang China 7 174 1.6× 88 1.4× 49 1.1× 12 0.3× 11 0.7× 19 319
Sarina Aminizadeh Iran 4 70 0.7× 20 0.3× 13 0.3× 18 0.5× 9 0.6× 8 219
Théo Ryffel France 5 241 2.3× 65 1.0× 33 0.8× 21 0.6× 10 0.6× 7 321
Oumaima Terrada Morocco 13 211 2.0× 120 1.9× 55 1.3× 34 0.9× 25 1.6× 16 417

Countries citing papers authored by Nitesh Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Nitesh Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitesh Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Nitesh Pradhan. A scholar is included among the top collaborators of Nitesh Pradhan 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 Nitesh Pradhan. Nitesh Pradhan 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
1.
Pradhan, Nitesh, et al.. (2024). eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals. Multimedia Tools and Applications. 84(18). 19191–19222. 2 indexed citations
2.
Sharma, Akhilesh, et al.. (2023). A light weight Deep Convolutional Neural network model for plant disease identification. 9. 191–196. 1 indexed citations
3.
Sinwar, Deepak, Nitesh Pradhan, Vijaypal Singh Dhaka, et al.. (2023). Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains. Diagnostics. 13(7). 1212–1212. 9 indexed citations
4.
Pradhan, Nitesh, et al.. (2023). Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views. IEEE Access. 11. 96283–96296. 6 indexed citations
5.
Pradhan, Nitesh, et al.. (2023). Handling imbalanced class in melanoma: Kemeny–Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization. Engineering Applications of Artificial Intelligence. 125. 106738–106738. 11 indexed citations
6.
Pradhan, Nitesh, et al.. (2023). ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals. Biomedical Signal Processing and Control. 84. 104754–104754. 18 indexed citations
7.
Pradhan, Nitesh, et al.. (2022). Ensemble of Deep Neural Networks based on Condorcet’s Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. Computers in Biology and Medicine. 149. 105979–105979. 12 indexed citations
8.
9.
Pradhan, Nitesh, et al.. (2021). PHACOEMULSIFICATION VERSUS SMALL INCISION CATARACT SURGERY -A SURGICAL OPTION FOR IMMATURE CATARACT IN DEVELOPING COUNTRIES. Journal of Cardiovascular Disease Research. 12(3). 171–175.
10.
Sinwar, Deepak, Vijaypal Singh Dhaka, Nitesh Pradhan, & Saumya Pandey. (2021). Offline script recognition from handwritten and printed multilingual documents: a survey. International Journal on Document Analysis and Recognition (IJDAR). 24(1-2). 97–121. 13 indexed citations
11.
Rani, Geeta, et al.. (2021). Applying deep learning-based multi-modal for detection of coronavirus. Multimedia Systems. 28(4). 1251–1262. 24 indexed citations
12.
Pradhan, Nitesh & Vijaypal Singh Dhaka. (2020). A Deep Learning Technique for Multi-view Prediction of Bone. 390–394.
13.
Pradhan, Nitesh, et al.. (2020). Comparative Analysis to Predict Breast Cancer using Machine Learning Algorithms: A Survey. 192–196. 21 indexed citations
14.
Pradhan, Nitesh, Vijaypal Singh Dhaka, & Himanshu Chaudhary. (2019). Classification of Human Bones Using Deep Convolutional Neural Network. IOP Conference Series Materials Science and Engineering. 594(1). 12024–12024. 7 indexed citations
15.
Pradhan, Nitesh, et al.. (2019). Experimental and Comparison Based Study on Diabetes Prediction Using Artificial Neural Network. Recent Advances in Computer Science and Communications. 13(6). 1173–1179. 1 indexed citations
16.
Pradhan, Nitesh, et al.. (2018). Prevalence of diabetes mellitus in rural population of Mullana, district Ambala, Haryana, India. International Journal of Research in Medical Sciences. 6(4). 1248–1248.
17.
Pradhan, Nitesh, et al.. (2017). DDoS Simulation and Hybrid DDoS Defense Mechanism. International Journal of Computer Applications. 163(9). 20–24. 4 indexed citations
18.
Pradhan, Nitesh, Manasi Gyanchandani, & Rajesh Wadhvani. (2015). A Review on Text Similarity Technique used in IR and its Application. International Journal of Computer Applications. 120(9). 29–34. 37 indexed citations
19.
Pradhan, Nitesh, et al.. (2012). Development of Algorithm for High Resolution Retinex for Image Enhancement. International journal of innovative research and development. 1(11). 548–561.
20.
Ganesh, A. Balaji, et al.. (2011). SIMULATION RESULTS FOR WAVELET APPROXIMATION. 1(2). 1 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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