Pooja Kamat

1.3k total citations · 1 hit paper
39 papers, 745 citations indexed

About

Pooja Kamat is a scholar working on Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Pooja Kamat has authored 39 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 6 papers in Mechanics of Materials and 6 papers in Artificial Intelligence. Recurrent topics in Pooja Kamat's work include Machine Fault Diagnosis Techniques (11 papers), Engineering Diagnostics and Reliability (6 papers) and Quality and Safety in Healthcare (4 papers). Pooja Kamat is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Engineering Diagnostics and Reliability (6 papers) and Quality and Safety in Healthcare (4 papers). Pooja Kamat collaborates with scholars based in India, Australia and Saudi Arabia. Pooja Kamat's co-authors include Satish Kumar, Shruti Patil, Ketan Kotecha, Ajith Abraham, Arunkumar Bongale, Sultan Alfarhood, Shilpa Gite, V. Vijayakumar, Swati Ahirrao and Ambika Pawar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Pooja Kamat

34 papers receiving 707 citations

Hit Papers

align trajectories

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.

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

2023 170 citations Shruti Patil, Satish Kumar et al. Engineering Applications of Artificial Intelligence profile →

Peers

Countries citing papers authored by Pooja Kamat

Since Specialization

Citations

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

Fields of papers citing papers by Pooja Kamat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Kamat

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Kamat. A scholar is included among the top collaborators of Pooja Kamat 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 Pooja Kamat. Pooja Kamat 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

#	Work	Indexed citations
1	Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance 2025 ·MethodsX ·(unknown), Pooja Kamat, Harsh S. Dhiman	0
2	GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification 2025 ·MethodsX ·(unknown), Sanjeev Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha	0
3	Enhancing water quality prediction: a machine learning approach across diverse water environments 2025 ·(unknown), Pooja Kamat	2
4	Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings 2024 ·Journal of the Brazilian Society of Mechanical Sciences and Engineering ·Pooja Kamat, Satish Kumar, (unknown)	9
5	Deep learning with ensemble approach for early pile fire detection using aerial images 2024 ·Frontiers in Environmental Science ·(unknown), Satish Kumar, Shruti Patil, Pooja Kamat, (unknown), Ketan Kotecha	2
6	DeepTool: A deep learning framework for tool wear onset detection and remaining useful life prediction 2024 ·MethodsX ·Pooja Kamat, Satish Kumar, Ketan Kotecha	3
7	Anomaly-informed remaining useful life estimation (AIRULE) of bearing machinery using deep learning framework 2024 ·MethodsX ·Pooja Kamat, Satish Kumar, Shruti Patil, Ketan Kotecha	4
8	Gesture-to-Text Translation Using SURF for Indian Sign Language 2023 ·Applied System Innovation ·(unknown), Pooja Kamat, Shruti Patil, (unknown), Swati Ahirrao, Ketan Kotecha	8
9	Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research breakdown → 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham	170
10	Tool Wear Prediction in Milling: A Comparative Analysis Based on Machine Learning and Deep Learning Approaches 2022 ·International Journal of Computing and Digital Systems ·Pooja Kamat, Satish Kumar, Shruti Patil, (unknown), (unknown)	0
11	LSTM based Ensemble Network to enhance the learning of Long-term Dependencies in Chatbot 2022 ·International Journal of Automation and Smart Technology ·Shruti Patil, (unknown), Pooja Kamat	1
12	Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques 2022 ·Micromachines ·(unknown), V. Vijayakumar, (unknown), (unknown), (unknown), Pooja Kamat, Satish Kumar, Shruti Patil, Ketan Kotecha	36
13	Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information 2021 ·IEEE Access ·(unknown), (unknown), Pooja Kamat, Shruti Patil, Ketan Kotecha	10
14	Bibliometric Analysis of Bearing Fault Detection using Artificial Intelligence 2020 ·Insecta mundi ·Pooja Kamat, (unknown)	1
15	Decentralizing AI Applications With Block Chain 2019 ·International journal of scientific and technology research ·Shraddha Phansalkar, Pooja Kamat, Swati Ahirrao, Ambika Pawar	11
16	Evaluation of Mitotic Figures and Cellular and Nuclear Morphometry of Various Histopathological Grades of Oral Squamous Cell Carcinoma: Comparative study using crystal violet and Feulgen stains 2018 ·Sultan Qaboos University medical journal ·(unknown), Avinash Tamgadge, (unknown), Sandhya Tamgadge, (unknown), Pooja Kamat	5
17	Predicting the impact of the GDP measure on the forest cover using forecasting and regression 2018 ·Pooja Kamat, (unknown), Anuj Mathur	1
18	Performance Analysis of Corner ReflectorAntenna Using Antenna Magus 2014 ·International Journal of Innovative Research in Computer and Communication Engineering ·Ujwala Patil, (unknown), Pooja Kamat, (unknown)	0
19	Initial ECG as a Diagnostic Tool for Identification of Low Risk Patients with Chest Pain 2014 ·(unknown), (unknown), Pooja Kamat	1
20	A Reactive Energy-Alert Algorithm for MANET and Its Impact on Node Energy Consumption 2013 ·(unknown), (unknown), Pooja Kamat	7

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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