Narendra D. Londhe

2.7k total citations
125 papers, 1.9k citations indexed

About

Narendra D. Londhe is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Narendra D. Londhe has authored 125 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 31 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Signal Processing. Recurrent topics in Narendra D. Londhe's work include EEG and Brain-Computer Interfaces (21 papers), Psoriasis: Treatment and Pathogenesis (18 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Narendra D. Londhe is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Psoriasis: Treatment and Pathogenesis (18 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Narendra D. Londhe collaborates with scholars based in India, United States and Japan. Narendra D. Londhe's co-authors include Jasjit S. Suri, Rajendra S. Sonawane, Vimal K. Shrivastava, Subhojit Ghosh, Ashish Semwal, Tadashi Araki, Atul Kumar Dwivedi, Praveen Rai, Sumit K. Banchhor and John R. Laird and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Narendra D. Londhe

120 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narendra D. Londhe India 25 492 438 392 284 256 125 1.9k
Arkadiusz Gertych United States 28 741 1.5× 795 1.8× 407 1.0× 911 3.2× 474 1.9× 75 3.2k
Francis M. Bui Canada 23 271 0.6× 389 0.9× 103 0.3× 162 0.6× 246 1.0× 131 2.0k
Sudipta Roy India 31 703 1.4× 572 1.3× 204 0.5× 47 0.2× 632 2.5× 147 2.7k
I‐Fang Chung Taiwan 27 206 0.4× 430 1.0× 135 0.3× 72 0.3× 164 0.6× 84 2.1k
Mohamed Hammad Egypt 28 463 0.9× 822 1.9× 164 0.4× 728 2.6× 494 1.9× 78 2.8k
George K. Matsopoulos Greece 23 689 1.4× 299 0.7× 223 0.6× 104 0.4× 590 2.3× 195 2.3k
Fahime Khozeimeh Iran 19 455 0.9× 655 1.5× 91 0.2× 330 1.2× 210 0.8× 29 1.8k
Tomasz Markiewicz Poland 16 230 0.5× 427 1.0× 164 0.4× 394 1.4× 299 1.2× 70 1.2k
Jing Han China 27 350 0.7× 479 1.1× 405 1.0× 44 0.2× 199 0.8× 127 2.1k
Xuan Kong United States 25 128 0.3× 98 0.2× 147 0.4× 76 0.3× 117 0.5× 90 2.2k

Countries citing papers authored by Narendra D. Londhe

Since Specialization
Citations

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

Fields of papers citing papers by Narendra D. Londhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narendra D. Londhe. 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 Narendra D. Londhe. The network helps show where Narendra D. Londhe may publish in the future.

Co-authorship network of co-authors of Narendra D. Londhe

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra D. Londhe. A scholar is included among the top collaborators of Narendra D. Londhe 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 Narendra D. Londhe. Narendra D. Londhe 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.
So–In, Chakchai, et al.. (2024). Information Systems for Intelligent Systems. Smart innovation, systems and technologies. 2 indexed citations
2.
3.
Londhe, Narendra D., et al.. (2022). TransUnet for psoriasis lesion segmentation. 1–6. 3 indexed citations
4.
Londhe, Narendra D., et al.. (2022). Effect of Dilated Convolution on Performance and Parameters of Devanagari Script-based P300 Speller. 2022 IEEE 19th India Council International Conference (INDICON). 1–6. 1 indexed citations
5.
Dash, Manoranjan, et al.. (2021). Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(11). 1330–1339. 2 indexed citations
6.
Dash, Manoranjan, et al.. (2020). A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. Applied Soft Computing. 91. 106240–106240. 24 indexed citations
7.
Verma, Shrish, et al.. (2020). Performance improvement of mediastinal lymph node severity detection using GAN and Inception network. Computer Methods and Programs in Biomedicine. 194. 105478–105478. 23 indexed citations
8.
9.
Sahu, Satya Prakash, Narendra D. Londhe, & Shrish Verma. (2019). Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering. IETE Journal of Research. 68(1). 265–282. 13 indexed citations
10.
Londhe, Narendra D., et al.. (2018). Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning. IEEE Transactions on Biomedical Engineering. 66(11). 2992–3005. 40 indexed citations
11.
Londhe, Narendra D., et al.. (2018). Performance Evaluation of Fingerprint Dynamics in Machine Learning and Score Level Fusion Framework. IETE Technical Review. 36(2). 178–189. 4 indexed citations
12.
Shrivastava, Vimal K., Narendra D. Londhe, Rajendra S. Sonawane, & Jasjit S. Suri. (2017). A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification. Computer Methods and Programs in Biomedicine. 150. 9–22. 83 indexed citations
13.
Dwivedi, Atul Kumar, Subhojit Ghosh, & Narendra D. Londhe. (2016). Low power 2D finite impulse response filter design using modified artificial bee colony algorithm with experimental validation using field‐programmable gate array. IET Science Measurement & Technology. 10(6). 671–678. 9 indexed citations
14.
Londhe, Narendra D., et al.. (2016). A Novel Behavioural Biometric Technique for Robust User Authentication. IETE Technical Review. 34(5). 478–490. 12 indexed citations
15.
Londhe, Narendra D., et al.. (2016). A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint. Pattern Recognition. 62. 214–224. 26 indexed citations
16.
Araki, Tadashi, Sumit K. Banchhor, Narendra D. Londhe, et al.. (2015). Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. Journal of Medical Systems. 40(3). 51–51. 25 indexed citations
17.
Shrivastava, Vimal K., Narendra D. Londhe, Rajendra S. Sonawane, & Jasjit S. Suri. (2015). First review on psoriasis severity risk stratification: An engineering perspective. Computers in Biology and Medicine. 63. 52–63. 42 indexed citations
18.
Shrivastava, Vimal K., Narendra D. Londhe, Rajendra S. Sonawane, & Jasjit S. Suri. (2015). Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm. Expert Systems with Applications. 42(15-16). 6184–6195. 62 indexed citations
19.
Londhe, Narendra D. & R. Vijay Anand. (2013). Second Harmonic Field Generation from a Phased Array Transducer and Its Beam Optimization.
20.
Londhe, Narendra D., et al.. (2011). Numerical Investigation of Superharmonic Imaging Using Chirp Excitation. Journal of Medical Ultrasound. 19(3). 81–86. 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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