Shreenivas Londhe

1.6k citations
58 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Hydrological Forecasting Using AI (37 papers)Ocean Waves and Remote Sensing (13 papers)Hydrology and Watershed Management Studies (12 papers)
Journals
SHILAP Revista de lepidopterologíaEstuarine Coastal and Shelf ScienceApplied Sciences

In The Last Decade

Shreenivas Londhe

56 papers receiving 1.2k citations

Hit Papers

Predicting strength of recycled aggregate concrete using ...2016202620192022201650100150200250

Peers

Shreenivas Londhe
Comparison fields: 5 of 89
  • Civil and Structural Engineering 483
  • Environmental Engineering 445
  • Oceanography 331
  • Building and Construction 300
  • Electrical and Electronic Engineering 174
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 6
4 2
5 2
6 4
7 11
8 1
9 29
10 5
11 33
12
Catchment Level Modeling of Green Roofs Using InfoWorks CS
1
13
Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regressionbreakdown →
268
14 55
15 13
16 6
17
Modeling Compressive Strength Of Recycled Aggregate Concrete Using Neural Networks And Regression Analysis
13
18
Towards modelling of streamflow using soft tools.
1
19 1
20 2

About Shreenivas Londhe

Shreenivas Londhe is a scholar working on Environmental Engineering, Oceanography and Water Science and Technology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (37 papers), Ocean Waves and Remote Sensing (13 papers) and Hydrology and Watershed Management Studies (12 papers). The work is most often cited by research in Environmental Engineering (445 citations), Oceanography (331 citations) and Civil and Structural Engineering (483 citations). Shreenivas Londhe has collaborated with scholars based in India, United States and Portugal. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Estuarine Coastal and Shelf Science and Applied Sciences.

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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