Paresh Chandra Deka

2.6k total citations · 1 hit paper
44 papers, 2.0k citations indexed

About

Paresh Chandra Deka is a scholar working on Environmental Engineering, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Paresh Chandra Deka has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Environmental Engineering, 16 papers in Water Science and Technology and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Paresh Chandra Deka's work include Hydrological Forecasting Using AI (32 papers), Energy Load and Power Forecasting (14 papers) and Hydrology and Watershed Management Studies (11 papers). Paresh Chandra Deka is often cited by papers focused on Hydrological Forecasting Using AI (32 papers), Energy Load and Power Forecasting (14 papers) and Hydrology and Watershed Management Studies (11 papers). Paresh Chandra Deka collaborates with scholars based in India, Iran and United States. Paresh Chandra Deka's co-authors include Sujay Raghavendra Naganna, Venkatraman Chandra‐Mouli, Parthasarathy Kulithalai Shiyam Sundar, Alireza Ghaemi, Mohammad Rezaie-Balf, Seyed Mostafa Biazar, Nadhir Al‐Ansari, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Ali Ghorbani and Sudheer Ch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Journal of Hydrology.

In The Last Decade

Paresh Chandra Deka

42 papers receiving 1.9k citations

Hit Papers

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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.

Support vector machine applications in the field of hydrology: A review

2014 593 citations Sujay Raghavendra Naganna, Paresh Chandra Deka profile →

Peers

Countries citing papers authored by Paresh Chandra Deka

Since Specialization

Citations

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

Fields of papers citing papers by Paresh Chandra Deka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paresh Chandra Deka. 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 Paresh Chandra Deka. The network helps show where Paresh Chandra Deka may publish in the future.

Co-authorship network of co-authors of Paresh Chandra Deka

This figure shows the co-authorship network connecting the top 25 collaborators of Paresh Chandra Deka. A scholar is included among the top collaborators of Paresh Chandra Deka 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 Paresh Chandra Deka. Paresh Chandra Deka 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	Novel NSGA-II optimized LSTM and GRU models for short-term forecasting of residential heating load 2025 ·Energy and Buildings ·Paresh Chandra Deka, (unknown), Raquel Pérez-Orozco, (unknown), (unknown)	4
2	Application of Mamdani model-based fuzzy inference system in water consumption estimation using time series 2022 ·Soft Computing ·(unknown), Paresh Chandra Deka, (unknown)	6
3	Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: a machine learning approach 2021 ·Environmental Science and Pollution Research ·Parthasarathy Kulithalai Shiyam Sundar, Paresh Chandra Deka	41
4	Assessment of potentially vulnerable zones using geospatial approach along the coast of Cuddalore district, East coast of India 2020 ·ISH Journal of Hydraulic Engineering ·Parthasarathy Kulithalai Shiyam Sundar, Subbarayan Saravanan, Paresh Chandra Deka, Devanantham Abijith	24
5	Spatial and temporal variations in river water quality of the Middle Ganga Basin using unsupervised machine learning techniques 2020 ·Environmental Monitoring and Assessment ·(unknown), Paresh Chandra Deka	24
6	Hybrid wavelet packet machine learning approaches for drought modeling 2020 ·Environmental Earth Sciences ·(unknown), Sujay Raghavendra Naganna, Paresh Chandra Deka, (unknown)	42
7	Fuzzy and improved fuzzy-wavelet approach in modeling municipal residential water consumption estimation using climatic variables 2020 ·Soft Computing ·(unknown), Paresh Chandra Deka	5
8	Remote sensing and GIS application in assessment of coastal vulnerability and shoreline changes: a review 2019 ·ISH Journal of Hydraulic Engineering ·Parthasarathy Kulithalai Shiyam Sundar, Paresh Chandra Deka	63
9	Application of Hybrid Wavelet Packet-ANN in Drought Forecasting 2017 ·(unknown), Paresh Chandra Deka	2
10	Estimation of dew point temperature using SVM and ELM for humid and semi-arid regions of India 2017 ·ISH Journal of Hydraulic Engineering ·Paresh Chandra Deka, (unknown), (unknown), Sujay Raghavendra Naganna	14
11	Factors influencing streambed hydraulic conductivity and their implications on stream–aquifer interaction: a conceptual review 2017 ·Environmental Science and Pollution Research ·Sujay Raghavendra Naganna, Paresh Chandra Deka, Sudheer Ch, William Hansen	41
12	Modeling of Air Temperature using ANFIS by Wavelet Refined Parameters 2016 ·International Journal of Intelligent Systems and Applications ·(unknown), Paresh Chandra Deka	8
13	Performance evaluation of hybrid Wavelet-ANN and Wavelet-ANFIS models for estimating evapotranspiration in arid regions of India 2015 ·Neural Computing and Applications ·(unknown), Paresh Chandra Deka	35
14	Groundwater Situation at Southwest Coast of India –A Field Study, Overview, Opportunities and Challenges 2015 ·Aquatic Procedia ·(unknown), (unknown), Paresh Chandra Deka	0
15	Investigation of the Effects of Meteorological Parameters on Groundwater Level using ANN 2012 ·(unknown), Paresh Chandra Deka, (unknown)	1
16	Performance Evaluation of Artificial Neural Network Model using Data Preprocessing in Non-Stationary Hydrologic Time Series 2012 ·(unknown), Paresh Chandra Deka	1
17	Fuzzy Neural Network Modeling of Reservoir Operation 2008 ·Journal of Water Resources Planning and Management ·Paresh Chandra Deka, Venkatraman Chandra‐Mouli	35
18	Neural Network Based Decision Support Model for Optimal Reservoir Operation 2005 ·Water Resources Management ·Venkatraman Chandra‐Mouli, Paresh Chandra Deka	45
19	Fuzzy Neural Network Model for Hydrologic Flow Routing 2005 ·Journal of Hydrologic Engineering ·Paresh Chandra Deka, Venkatraman Chandra‐Mouli	31
20	A fuzzy neural network model for deriving the river stage—discharge relationship 2003 ·Hydrological Sciences Journal ·Paresh Chandra Deka, Venkatraman Chandra‐Mouli	57

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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