Sanjay V. Dudul

909 total citations
54 papers, 664 citations indexed

About

Sanjay V. Dudul is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Sanjay V. Dudul has authored 54 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Sanjay V. Dudul's work include Neural Networks and Applications (21 papers), Machine Fault Diagnosis Techniques (9 papers) and Hydrological Forecasting Using AI (8 papers). Sanjay V. Dudul is often cited by papers focused on Neural Networks and Applications (21 papers), Machine Fault Diagnosis Techniques (9 papers) and Hydrological Forecasting Using AI (8 papers). Sanjay V. Dudul collaborates with scholars based in India, Bulgaria and Nepal. Sanjay V. Dudul's co-authors include Vilas N. Ghate and Ashok Ghatol and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Sanjay V. Dudul

52 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanjay V. Dudul India	13	285	179	148	135	90	54	664
Serdar İplikçi Türkiye	13	333 1.2×	124 0.7×	138 0.9×	135 1.0×	110 1.2×	31	876
Alok Kanti Deb India	12	290 1.0×	113 0.6×	150 1.0×	160 1.2×	49 0.5×	77	717
Danilo Hernane Spatti Brazil	9	131 0.5×	177 1.0×	102 0.7×	133 1.0×	29 0.3×	27	594
Shuanfeng Zhao China	13	228 0.8×	84 0.5×	76 0.5×	226 1.7×	96 1.1×	53	617
Jerzy Baranowski Poland	16	558 2.0×	149 0.8×	112 0.8×	152 1.1×	46 0.5×	107	828
Shubin Zheng China	13	179 0.6×	133 0.7×	102 0.7×	282 2.1×	107 1.2×	63	711
Xinyu Du China	13	148 0.5×	133 0.7×	65 0.4×	139 1.0×	53 0.6×	61	656
Bassant Selim Canada	13	81 0.3×	431 2.4×	139 0.9×	65 0.5×	33 0.4×	44	953
Mohammad Manthouri Iran	12	150 0.5×	300 1.7×	185 1.3×	53 0.4×	15 0.2×	48	655
Huimin Zhao China	11	236 0.8×	62 0.3×	125 0.8×	146 1.1×	78 0.9×	26	555

Countries citing papers authored by Sanjay V. Dudul

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay V. Dudul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay V. Dudul. 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 Sanjay V. Dudul. The network helps show where Sanjay V. Dudul may publish in the future.

Co-authorship network of co-authors of Sanjay V. Dudul

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

All Works

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20 of 20 papers shown

Dudul, Sanjay V., et al.. (2023). Performance measures of frequency ratio, weight of evidence and AHP models for flood risk assessment of Panchganga river basin (PRB), Kolhapur (India). Disaster Advances. 16(7). 31–41. 1 indexed citations

Dudul, Sanjay V., et al.. (2023). Optimizing the accuracy of flood extent mapping using multitemporal stack of Sentinel-1 SAR data with machine learning approach for Wardha River, Chandrapur District (India). Disaster Advances. 16(12). 12–19. 1 indexed citations

Dudul, Sanjay V., et al.. (2021). Design and Analysis of Denoising Framework for Overcoming Speckle Noise Footprints. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(6). 4478–4488. 1 indexed citations

Dudul, Sanjay V., et al.. (2015). Study of Image Steganalysis Techniques. International Journal of Advanced Research in Computer Science. 6(8). 7–11. 2 indexed citations

Dudul, Sanjay V., et al.. (2012). Novel Technique for Multiple Fault Detection in an Automobile Engine Using Sound Signal. 1(6). 3 indexed citations

Dudul, Sanjay V., et al.. (2012). Modeling of SMF Link for Optical Networks. 1 indexed citations

Dudul, Sanjay V., et al.. (2012). Focused Time Delay Neural Network Model for Rainfall Prediction Using Indian Ocean Dipole Index. 851–855. 10 indexed citations

Dudul, Sanjay V., et al.. (2012). Epilepsy diagnosis based on generalized feed forward neural network. Interdisciplinary Sciences Computational Life Sciences. 4(3). 209–214. 4 indexed citations

Dudul, Sanjay V., et al.. (2010). Intelligent Diagnosis of Heart Diseases using Neural Network Approach. International Journal of Computer Applications. 1(2). 117–123. 15 indexed citations

10.

Dudul, Sanjay V., et al.. (2010). Classification of material type and its surface properties using digital signal processing techniques and neural networks. Applied Soft Computing. 11(1). 1108–1116. 3 indexed citations

11.

Dudul, Sanjay V., et al.. (2009). PCA NN Based Classifier For Liver Diseases from Ultrasonic Liver Images. 76–80. 2 indexed citations

12.

Dudul, Sanjay V., et al.. (2009). Design and performance analysis of MLP NN based binary classifier for heart diseases. Indian Journal of Science and Technology. 2(8). 43–48. 2 indexed citations

13.

Ghate, Vilas N. & Sanjay V. Dudul. (2009). Induction machine fault detection using support vector machine based classifier. WSEAS TRANSACTIONS on SYSTEMS archive. 8(5). 591–603. 15 indexed citations

14.

Ghate, Vilas N. & Sanjay V. Dudul. (2009). SVM Based Fault Classification of Three Phase Induction Motor. Indian Journal of Science and Technology. 2(4). 32–35. 1 indexed citations

15.

Dudul, Sanjay V., et al.. (2009). Multi step ahead prediction of north and south hemisphere sun spots chaotic time series using focused time lagged recurrent neural network model. WSEAS Transactions on Information Science and Applications archive. 6(4). 684–693. 8 indexed citations

16.

Ghate, Vilas N. & Sanjay V. Dudul. (2009). Fault Diagnosis of Three Phase Induction Motor Using Neural Network Techniques. 922–928. 14 indexed citations

17.

Dudul, Sanjay V., et al.. (2008). Human emotion recognition system using optimally designed SVM with different facial feature extraction techniques. WSEAS Transactions on Computers archive. 7(6). 650–659. 19 indexed citations

18.

Dudul, Sanjay V., et al.. (2008). Prediction of Mackey-glass Chaotic time series with effect of superimposed noise using FTLRNN model. 384–389. 1 indexed citations

19.

Dudul, Sanjay V., et al.. (2008). Performance Comparison of Facial Feature Extraction Techniques In Designing Human Emotion Recognition System Using Optimal PCA Neural Network.

20.

Dudul, Sanjay V.. (2004). Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network. Applied Soft Computing. 5(4). 333–355. 40 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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