Shreenivas Londhe

1.6k total citations · 1 hit paper
58 papers, 1.2k citations indexed

About

Shreenivas Londhe is a scholar working on Environmental Engineering, Water Science and Technology and Oceanography. According to data from OpenAlex, Shreenivas Londhe has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Environmental Engineering, 16 papers in Water Science and Technology and 15 papers in Oceanography. Recurrent topics in Shreenivas Londhe's work include Hydrological Forecasting Using AI (37 papers), Ocean Waves and Remote Sensing (13 papers) and Hydrology and Watershed Management Studies (12 papers). Shreenivas Londhe is often cited by papers focused on Hydrological Forecasting Using AI (37 papers), Ocean Waves and Remote Sensing (13 papers) and Hydrology and Watershed Management Studies (12 papers). Shreenivas Londhe collaborates with scholars based in India, United States and Portugal. Shreenivas Londhe's co-authors include Faeze Khademi, Vijay Panchang, Sushma S. Kulkarni, M. C. Deo, Kanchan Khare, Yogesh Dandawate, T. M. Balakrishnan Nair, P. Sirisha, Jorge de Brito and Ana Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Estuarine Coastal and Shelf Science and Applied Sciences.

In The Last Decade

Shreenivas Londhe

56 papers receiving 1.2k 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.

Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression

2016 268 citations Faeze Khademi, Shreenivas Londhe et al. International Journal of Sustainable Built Environment profile →

Peers

Countries citing papers authored by Shreenivas Londhe

Since Specialization

Citations

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

Fields of papers citing papers by Shreenivas Londhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shreenivas Londhe

This figure shows the co-authorship network connecting the top 25 collaborators of Shreenivas Londhe. A scholar is included among the top collaborators of Shreenivas Londhe 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 Shreenivas Londhe. Shreenivas Londhe 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	Damage classification and segmentation in extended shear tab connection using convolutional neural networks and transfer learning 2024 ·Asian Journal of Civil Engineering ·(unknown), (unknown), Shreenivas Londhe	0
2	Rainfall-runoff modelling – a comparison of Artificial Neural Networks (ANNs) and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS) 2024 ·ISH Journal of Hydraulic Engineering ·(unknown), Shreenivas Londhe, Rakesh Jain, (unknown)	3
3	Modelling water quality parameters using model tree, random forest, and non-linear regression for Mula-Mutha River, Pune, India 2024 ·Environmental Monitoring and Assessment ·(unknown), Shreenivas Londhe, (unknown)	6
4	Modelling the behaviour of extended shear tab connection using artificial neural network 2023 ·Asian Journal of Civil Engineering ·(unknown), Shreenivas Londhe, (unknown), (unknown)	2
5	Waste Removal Efficiencies of Floating Macrophytes for Restoration of Polluted Stream: An Experimental Analysis 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Shreenivas Londhe	2
6	Prediction of water quality parameters using support vector regression 2023 ·Innovative Infrastructure Solutions ·(unknown), Shreenivas Londhe, (unknown)	4
7	Tree Based Approaches for Predicting Concrete Carbonation Coefficient 2022 ·Applied Sciences ·Shreenivas Londhe, (unknown), (unknown), Ana Silva, R. Neves, Jorge de Brito	11
8	Hydraulic response of the Hippargi barrage and Almatti reservoir on the Krishna river and its tributaries, India 2022 ·Innovative Infrastructure Solutions ·(unknown), (unknown), Shreenivas Londhe, (unknown), (unknown)	1
9	Predicting carbonation coefficient using Artificial neural networks and genetic programming 2021 ·Journal of Building Engineering ·Shreenivas Londhe, (unknown), (unknown), Ana Silva, R. Neves, Jorge de Brito	29
10	Effect of flood releases from reservoirs in Krishna basin of Maharashtra state 2021 ·Innovative Infrastructure Solutions ·(unknown), (unknown), Shreenivas Londhe, (unknown)	5
11	Artificial Neural Networks for Construction Management: A Review 2017 ·SHILAP Revista de lepidopterología ·(unknown), Shreenivas Londhe, M. C. Deo	33
12	Catchment Level Modeling of Green Roofs Using InfoWorks CS 2016 ·Ajay A. Desai, Shreenivas Londhe	1
13	Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression breakdown → 2016 ·International Journal of Sustainable Built Environment ·Faeze Khademi, (unknown), (unknown), Shreenivas Londhe	268
14	Prediction of extreme wave heights using neuro wavelet technique 2016 ·Applied Ocean Research ·(unknown), Shreenivas Londhe	55
15	Modelling Stage–Discharge Relationship using Data-Driven Techniques 2015 ·ISH Journal of Hydraulic Engineering ·Shreenivas Londhe, (unknown)	13
16	Wave Forecasting Using Neuro Wavelet Technique 2014 ·SHILAP Revista de lepidopterología ·(unknown), Shreenivas Londhe, Yogesh Dandawate	6
17	Modeling Compressive Strength Of Recycled Aggregate Concrete Using Neural Networks And Regression Analysis 2013 ·(unknown), Shreenivas Londhe, Sushma S. Kulkarni	13
18	Towards modelling of streamflow using soft tools. 2009 ·IAHS-AISH publication ·Shreenivas Londhe, (unknown)	1
19	REAL TIME WAVE AND WIND FORECASTING SYSTEM FOR THE INDIAN COASTLINE 2009 ·(unknown), J. Vimala, M. C. Deo, G. Latha, (unknown), Shreenivas Londhe	1
20	Development Of Wave Buoy Network Using Soft Computing Techniques 2008 ·Shreenivas Londhe	2

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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