Shivam Tripathi

2.6k total citations
60 papers, 1.7k citations indexed

About

Shivam Tripathi is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Shivam Tripathi has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 19 papers in Atmospheric Science and 19 papers in Water Science and Technology. Recurrent topics in Shivam Tripathi's work include Hydrology and Watershed Management Studies (17 papers), Atmospheric aerosols and clouds (15 papers) and Climate variability and models (11 papers). Shivam Tripathi is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Atmospheric aerosols and clouds (15 papers) and Climate variability and models (11 papers). Shivam Tripathi collaborates with scholars based in India, United States and Finland. Shivam Tripathi's co-authors include Ravi S. Nanjundiah, V. V. Srinivas, Rao S. Govindaraju, Dev Niyogi, Ganeshchandra Mallya, Rajiv Sinha, Somil Swarnkar, Vimal Mishra, Markus Disse and Chandan Sarangi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Shivam Tripathi

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shivam Tripathi India 19 1.1k 624 502 418 207 60 1.7k
Xushu Wu China 25 1.5k 1.4× 546 0.9× 788 1.6× 440 1.1× 142 0.7× 52 2.1k
Sutat Weesakul Thailand 19 1.2k 1.1× 456 0.7× 552 1.1× 637 1.5× 75 0.4× 48 1.8k
Mauricio Zambrano‐Bigiarini Chile 19 1.4k 1.3× 1.2k 2.0× 973 1.9× 470 1.1× 130 0.6× 52 2.6k
Jianxiu Qiu China 22 736 0.7× 759 1.2× 381 0.8× 909 2.2× 124 0.6× 58 1.6k
Yonghua Zhu China 30 1.3k 1.2× 1.1k 1.8× 952 1.9× 717 1.7× 227 1.1× 83 2.3k
Jun Yin China 27 1.1k 1.1× 664 1.1× 355 0.7× 208 0.5× 131 0.6× 83 1.9k
Marco Mancini Italy 24 1.1k 1.0× 487 0.8× 825 1.6× 606 1.4× 255 1.2× 59 1.8k
Balaji Narasimhan India 20 1.4k 1.2× 407 0.7× 908 1.8× 624 1.5× 249 1.2× 71 2.2k
Zhenliang Yin China 29 1.1k 1.0× 497 0.8× 1.1k 2.1× 754 1.8× 138 0.7× 70 2.0k
Vito Iacobellis Italy 25 1.1k 1.0× 271 0.4× 945 1.9× 508 1.2× 183 0.9× 89 1.8k

Countries citing papers authored by Shivam Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Shivam Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivam Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Shivam Tripathi. A scholar is included among the top collaborators of Shivam Tripathi 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 Shivam Tripathi. Shivam Tripathi 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
1.
Deshpande, Prasad, et al.. (2024). Forecasting of Fog Index and Prediction Interval using Bayesian Methods. 270–278.
2.
Deshpande, Prasad, et al.. (2024). Short-Term Fog Forecasting using Meteorological Observations at Airports in North India. 307–315. 2 indexed citations
3.
Tripathi, Shivam, et al.. (2024). An Efficient Workflow Scheduling Using Genetically Modified Golden Jackal Optimization With Recurrent Autoencoder in Cloud Computing. International Journal of Network Management. 35(1). 1 indexed citations
4.
Arora, Pankaj Kumar, Shivam Tripathi, Rishabh Anand Omar, et al.. (2024). Next-generation fertilizers: the impact of bionanofertilizers on sustainable agriculture. Microbial Cell Factories. 23(1). 254–254. 34 indexed citations
5.
6.
Deshpande, Prasad, et al.. (2021). Historical land cover classification from CORONA imagery using convolutional neural networks and geometric moments. International Journal of Remote Sensing. 42(13). 5144–5171. 17 indexed citations
7.
Swarnkar, Somil, Shivam Tripathi, & Rajiv Sinha. (2021). Understanding hydrogeomorphic and climatic controls on soil erosion and sediment dynamics in large Himalayan basins. The Science of The Total Environment. 795. 148972–148972. 20 indexed citations
8.
9.
Tripathi, Shivam, et al.. (2019). Can We Calibrate a Daily Time-Step Hydrological Model Using Monthly Time-Step Discharge Data?. Water. 11(9). 1750–1750. 19 indexed citations
10.
Gupta, Surya, Shivam Tripathi, Rajiv K. Sinha, et al.. (2018). Setting up a new CZO in the Ganga basin: instrumentation, stakeholder engagement and preliminary observations. 1 indexed citations
11.
Tripathi, Shivam, et al.. (2017). Ecological Assessment of Water Quality of Betwa River in Jhansi District. 2(1). 1 indexed citations
12.
Sarangi, Chandan, Shivam Tripathi, Amit Kumar Mishra, Anubha Goel, & Ellsworth J. Welton. (2016). Elevated aerosol layers and their radiative impact over Kanpur during monsoon onset period. Journal of Geophysical Research Atmospheres. 121(13). 7936–7957. 53 indexed citations
13.
Arola, Antti, Gregory L. Schuster, Mikko R. A. Pitkänen, et al.. (2015). Direct radiative effect by brown carbon over the Indo-Gangetic Plain. Atmospheric chemistry and physics. 15(22). 12731–12740. 27 indexed citations
14.
Arola, Antti, Gregory L. Schuster, Mikko R. A. Pitkänen, et al.. (2015). Measurement-based direct radiative effect by brown carbon over Indo-Gangetic Plain. 1 indexed citations
15.
Sarangi, Chandan, Shivam Tripathi, & M. C. Barth. (2015). Aerosol-cloud associations over Gangetic Basin during a typical monsoon depression event using WRF-Chem simulation. Journal of Geophysical Research Atmospheres. 120(20). 10,974–10,995. 35 indexed citations
16.
Huttunen, J., Antti Arola, Gunnar Myhre, et al.. (2014). Effect of water vapor on the determination of aerosol direct radiative effect based on the AERONET fluxes. Atmospheric chemistry and physics. 14(12). 6103–6110. 11 indexed citations
17.
Giles, D. M., B. N. Holben, T. F. Eck, et al.. (2012). Using the Aerosol Single Scattering Albedo and Angstrom Exponent from AERONET to Determine Aerosol Origins and Mixing States over the Indo-Gangetic Plain. AGUFM. 2012. 1 indexed citations
18.
Rao, et al.. (2012). A pre-feasibility study of isotopes for investigation of monsoon dynamics. 2(1). 1409–9. 3 indexed citations
19.
Tripathi, Shivam, et al.. (2012). Watershed reliability, resilience and vulnerability analysis under uncertainty using water quality data. Journal of Environmental Management. 109. 101–112. 58 indexed citations
20.
Tripathi, Shivam, et al.. (2006). Support Vector Machine Approach to Downscale Precipitation in Climate Change Scenarios. 10. 1–10. 6 indexed citations

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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