Nikhil Prakash

510 total citations
16 papers, 328 citations indexed

About

Nikhil Prakash is a scholar working on Artificial Intelligence, Management, Monitoring, Policy and Law and Global and Planetary Change. According to data from OpenAlex, Nikhil Prakash has authored 16 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Management, Monitoring, Policy and Law and 4 papers in Global and Planetary Change. Recurrent topics in Nikhil Prakash's work include Landslides and related hazards (4 papers), Flood Risk Assessment and Management (4 papers) and Cryospheric studies and observations (3 papers). Nikhil Prakash is often cited by papers focused on Landslides and related hazards (4 papers), Flood Risk Assessment and Management (4 papers) and Cryospheric studies and observations (3 papers). Nikhil Prakash collaborates with scholars based in India, Switzerland and Australia. Nikhil Prakash's co-authors include Simon Loew, Andrea Manconi, M. Murugappan, M. G. Sumithra, U. Rajendra Acharya, Dinesh Kumar, Mary R. Williams, Liansheng Tang, M. Venkatesan and Himanshu Pandey and has published in prestigious journals such as Scientific Reports, Remote Sensing and Neural Computing and Applications.

In The Last Decade

Nikhil Prakash

12 papers receiving 323 citations

Peers

Countries citing papers authored by Nikhil Prakash

Since Specialization

Citations

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

Fields of papers citing papers by Nikhil Prakash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Prakash

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Comparative Analysis of Wear Resistance in 4D-Printed vs. 3D-Printed Dental Prosthetics 2025 ·Journal of Pharmacy And Bioallied Sciences ·(unknown), Nikhil Prakash, (unknown), (unknown), Shailesh Jain, Syed V. Ahamed	0
2	Artificial Intelligence Tools in Dentistry: A Systematic Review on Their Application and Outcomes 2025 ·Cureus ·(unknown), Shailesh Jain, (unknown), (unknown), Nikhil Prakash, Dinesh Kumar, (unknown), (unknown)	0
3	Evaluating the Impact of Gradient Boosting and Random Forest on Accuracy Improvement in Cardiovascular Risk Prediction 2025 ·(unknown), (unknown), (unknown), Nikhil Prakash, M. Venkatesan, (unknown)	0
4	In silico created fire debris data for Machine learning 2024 ·Forensic Chemistry ·Michael E. Sigman, Mary R. Williams, Liansheng Tang, (unknown), Nikhil Prakash	2
5	Automated semantic lung segmentation in chest CT images using deep neural network 2023 ·Neural Computing and Applications ·M. Murugappan, (unknown), Nikhil Prakash, M. G. Sumithra, U. Rajendra Acharya	27
6	One-Shot Learning Methodology For Plant Leaf Disease Identification 2023 ·(unknown), Himanshu Pandey, Nikhil Prakash, (unknown)	1
7	A new strategy to map landslides with a generalized convolutional neural network 2021 ·Scientific Reports ·Nikhil Prakash, Andrea Manconi, Simon Loew	74
8	Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020 2021 ·Nikhil Prakash, Andrea Manconi	0
9	Machine Learning in Demand Forecasting - A Review 2020 ·SSRN Electronic Journal ·(unknown), Nikhil Prakash	3
10	Mapping landslides from EO data using deep-learning methods 2020 ·Repository for Publications and Research Data (ETH Zurich) ·Nikhil Prakash, Andrea Manconi, Simon Loew	58
11	Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models 2020 ·Remote Sensing ·Nikhil Prakash, Andrea Manconi, Simon Loew	150
12	Spirometric Assessment of Impact of Complete Dentures on Respiratory Performance: An in vitro Study 2018 ·The Journal of Contemporary Dental Practice ·(unknown), (unknown), (unknown), (unknown), (unknown), Nikhil Prakash	6
13	Application of Passive Seismic in Determining Overburden Thickness: North West Zambia 2018 ·ASEG Extended Abstracts ·(unknown), (unknown), Nikhil Prakash	2
14	The Effective Use of Forward Modelling and Petrophysical Analyses in the Application of Induced Polarisation Surveys to Explore for Disseminated Sulphide Systems in the Paterson Province, Western Australia 2018 ·ASEG Extended Abstracts ·Nikhil Prakash, (unknown), (unknown)	2
15	Development of an intelligent decision support system for an hierarchical business organization 2015 ·Nikhil Prakash, (unknown)	2
16	SQL translator using artificial neural networks 2002 ·Nikhil Prakash, (unknown), (unknown)	1

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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