Mukti E. Jadhav

1.2k total citations · 1 hit paper
26 papers, 653 citations indexed

About

Mukti E. Jadhav is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Mukti E. Jadhav has authored 26 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Human-Computer Interaction. Recurrent topics in Mukti E. Jadhav's work include Hand Gesture Recognition Systems (7 papers), AI in cancer detection (6 papers) and Hearing Impairment and Communication (4 papers). Mukti E. Jadhav is often cited by papers focused on Hand Gesture Recognition Systems (7 papers), AI in cancer detection (6 papers) and Hearing Impairment and Communication (4 papers). Mukti E. Jadhav collaborates with scholars based in India, Saudi Arabia and Yemen. Mukti E. Jadhav's co-authors include Ebrahim Mohammed Senan, Theyazn H. H. Aldhyani, Ahmed Abdullah Alqarni, Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Fawaz Waselallah Alsaade, M. Irfan Uddin, Mohammed Alzahrani, Abdulaziz Aljaloud and Taha H. Rassem and has published in prestigious journals such as Sustainability, Complexity and Diagnostics.

In The Last Decade

Mukti E. Jadhav

25 papers receiving 626 citations

Hit Papers

Diagnosis of Chronic Kidney Disease Using Effective Class... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukti E. Jadhav India 11 256 146 132 127 126 26 653
Ibrahim Abdulrab Ahmed Saudi Arabia 13 210 0.8× 140 1.0× 90 0.7× 20 0.2× 47 0.4× 34 547
Ebrahim Mohammed Senan Saudi Arabia 21 609 2.4× 427 2.9× 328 2.5× 186 1.5× 316 2.5× 31 1.3k
Xujing Yao United Kingdom 8 201 0.8× 165 1.1× 179 1.4× 35 0.3× 95 0.8× 11 617
Tanoy Debnath Bangladesh 7 222 0.9× 79 0.5× 131 1.0× 36 0.3× 158 1.3× 12 561
Vivek Kumar Singh United States 16 356 1.4× 274 1.9× 225 1.7× 25 0.2× 67 0.5× 45 688
Agung W. Setiawan Indonesia 12 104 0.4× 201 1.4× 176 1.3× 25 0.2× 24 0.2× 99 561
Peyman Hosseinzadeh Kassani United States 10 222 0.9× 219 1.5× 171 1.3× 64 0.5× 46 0.4× 13 513
Claudia Mazo Ireland 9 332 1.3× 159 1.1× 48 0.4× 63 0.5× 24 0.2× 21 624
Ebrahim Mohammed Senan Yemen 12 151 0.6× 139 1.0× 78 0.6× 21 0.2× 44 0.3× 19 356
Sheeraz Akram Pakistan 17 222 0.9× 237 1.6× 176 1.3× 52 0.4× 91 0.7× 52 635

Countries citing papers authored by Mukti E. Jadhav

Since Specialization
Citations

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

Fields of papers citing papers by Mukti E. Jadhav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mukti E. Jadhav. 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 Mukti E. Jadhav. The network helps show where Mukti E. Jadhav may publish in the future.

Co-authorship network of co-authors of Mukti E. Jadhav

This figure shows the co-authorship network connecting the top 25 collaborators of Mukti E. Jadhav. A scholar is included among the top collaborators of Mukti E. Jadhav 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 Mukti E. Jadhav. Mukti E. Jadhav 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.
Jadhav, Mukti E., et al.. (2024). Analysis of RSA and Shor’s algorithm for cryptography: A quantum perspective. AIP conference proceedings. 3222. 40004–40004. 1 indexed citations
2.
Jadhav, Mukti E., et al.. (2024). Hand Gesture Classification for Individuals with Disabilities Using the DenseNet121 Model. 1–5. 5 indexed citations
3.
Jadhav, Mukti E., et al.. (2024). Classifying Hand Gestures for People with Disabilities Utilizing the MobileNetV2 Model. 1–4. 2 indexed citations
5.
Ahmed, Zeyad A. T., et al.. (2023). Applying Eye Tracking with Deep Learning Techniques for Early-Stage Detection of Autism Spectrum Disorders. Data. 8(11). 168–168. 16 indexed citations
6.
Hamdi, Mohammed, et al.. (2023). Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer. Diagnostics. 13(15). 2538–2538. 18 indexed citations
7.
Al‐Otaibi, Shaha, et al.. (2023). Revolutionizing Solar Power Production with Artificial Intelligence: A Sustainable Predictive Model. Sustainability. 15(10). 7999–7999. 6 indexed citations
8.
Alkahtani, Hasan, Zeyad A. T. Ahmed, Theyazn H. H. Aldhyani, Mukti E. Jadhav, & Ahmed Abdullah Alqarni. (2023). Deep Learning Algorithms for Behavioral Analysis in Diagnosing Neurodevelopmental Disorders. Mathematics. 11(19). 4208–4208. 5 indexed citations
9.
Jadhav, Mukti E., et al.. (2023). Real-time System for Translating American Sign Language to Text Using Robust Techniques. 1–6. 2 indexed citations
10.
Jadhav, Mukti E., et al.. (2023). American gesture Language Detection Using Transfer Learning and Efficientnet B1 Technique. 1–4. 1 indexed citations
11.
Jadhav, Mukti E., et al.. (2023). Arabic Sign Language Recognition Using EfficientnetB1 and Transfer Learning Technique. 1–5. 8 indexed citations
12.
Senan, Ebrahim Mohammed, Mukti E. Jadhav, Taha H. Rassem, et al.. (2022). Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning. Computational and Mathematical Methods in Medicine. 2022. 1–17. 118 indexed citations
13.
Jadhav, Mukti E., et al.. (2022). Recognition of American Sign Language Using Deep Convolution Network. 1–4. 5 indexed citations
14.
Senan, Ebrahim Mohammed, Mosleh Hmoud Al-Adhaileh, Fawaz Waselallah Alsaade, et al.. (2021). Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques. Journal of Healthcare Engineering. 2021. 1–10. 163 indexed citations breakdown →
15.
Jadhav, Mukti E., et al.. (2021). Design And Simulate MEMS Based Cantilever Biosensor For Detection of Tuberculosis. 43. 1–4. 2 indexed citations
16.
Jadhav, Mukti E., et al.. (2021). A Deep Learning based Recognition System for Yemeni Sign Language. 1–5. 5 indexed citations
17.
Senan, Ebrahim Mohammed, Ibrahim Abunadi, Mukti E. Jadhav, & Suliman Mohamed Fati. (2021). Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms. Computational and Mathematical Methods in Medicine. 2021. 1–16. 61 indexed citations
18.
Senan, Ebrahim Mohammed, Mukti E. Jadhav, & Avinash A. Kadam. (2021). Classification of PH2 Images for Early Detection of Skin Diseases. 39 indexed citations
19.
Jadhav, Mukti E., et al.. (2019). Enhanced K_way Method In APRIORI Algorithm for Mining the Association Rules Through Embedding SQL Commands. International Journal of Computer Sciences and Engineering. 7(10). 52–56.
20.
Jadhav, Mukti E., et al.. (2017). A study of eye tracking technology and its applications. 86–90. 52 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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