Vikas Poonia

957 total citations · 1 hit paper
18 papers, 508 citations indexed

About

Vikas Poonia is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Vikas Poonia has authored 18 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Vikas Poonia's work include Hydrology and Drought Analysis (11 papers), Climate variability and models (10 papers) and Flood Risk Assessment and Management (6 papers). Vikas Poonia is often cited by papers focused on Hydrology and Drought Analysis (11 papers), Climate variability and models (10 papers) and Flood Risk Assessment and Management (6 papers). Vikas Poonia collaborates with scholars based in India, United States and Switzerland. Vikas Poonia's co-authors include Manish Kumar Goyal, Srinidhi Jha, Brij B. Gupta, Nikhil Kumar, Jew Das, H. L. Tiwari, Saket Dubey, Anil K. Gupta, Bhagirath Singh Chauhan and Gulshan Mahajan and has published in prestigious journals such as Journal of Cleaner Production, Journal of Hydrology and Technological Forecasting and Social Change.

In The Last Decade

Vikas Poonia

18 papers receiving 496 citations

Hit Papers

A novel framework for risk assessment and resilience of c... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Poonia India 10 306 127 73 68 57 18 508
Thong Nguyen‐Huy Australia 16 247 0.8× 85 0.7× 109 1.5× 94 1.4× 69 1.2× 44 743
Fadhilah Yusof Malaysia 13 506 1.7× 180 1.4× 94 1.3× 100 1.5× 130 2.3× 78 776
Enes Yıldırım United States 12 303 1.0× 147 1.2× 100 1.4× 20 0.3× 121 2.1× 19 433
Udit Bhatia India 10 377 1.2× 205 1.6× 139 1.9× 73 1.1× 149 2.6× 33 698
Ranjan Roy United States 17 141 0.5× 87 0.7× 39 0.5× 80 1.2× 66 1.2× 68 868
Susan Cuddy Australia 14 289 0.9× 330 2.6× 147 2.0× 28 0.4× 38 0.7× 56 709
O. David United States 12 147 0.5× 221 1.7× 133 1.8× 20 0.3× 92 1.6× 20 479
Shuoben Bi China 15 297 1.0× 69 0.5× 88 1.2× 58 0.9× 159 2.8× 64 561

Countries citing papers authored by Vikas Poonia

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Poonia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Poonia

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

All Works

18 of 18 papers shown
1.
Swarnkar, Somil, et al.. (2025). Human versus climate interactions on riverine flood characteristics in the largest Indian Peninsular basin. Anthropocene. 49. 100463–100463. 1 indexed citations
2.
Cibin, Raj, et al.. (2025). Compound dry and hot events in Madhya Pradesh: temporal shifts, regional hotspots, and adaptation strategies. Theoretical and Applied Climatology. 156(6). 1 indexed citations
3.
Swarnkar, Somil, et al.. (2024). Hydrological dichotomy: Streamflow drought in dammed vs. undammed regions of the largest Indian Peninsular basin. Journal of Arid Environments. 225. 105273–105273. 3 indexed citations
4.
Tiwari, H. L., et al.. (2024). An integrated approach of machine learning methods coupled with cellular automation for monitoring and forecasting of land use and land cover. Journal of Arid Environments. 226. 105293–105293. 1 indexed citations
5.
Poonia, Vikas, Srinidhi Jha, V. V. Srinivas, & Lixin Wang. (2024). Spatiotemporal Characteristics and Triggers of Flash Droughts across All the River Basins in India. Journal of Hydrometeorology. 25(9). 1357–1369. 2 indexed citations
6.
Goyal, Manish Kumar, et al.. (2023). Three decadal urban drought variability risk assessment for Indian smart cities. Journal of Hydrology. 625. 130056–130056. 17 indexed citations
7.
8.
Poonia, Vikas, et al.. (2023). Flash drought as a new climate threat: drought indices, insights from a study in India and implications for future research. Journal of Water and Climate Change. 14(9). 3368–3384. 20 indexed citations
9.
Poonia, Vikas, et al.. (2022). The role of first trimester uterine artery pulsatility index as a predictor of hypertensive disorders of pregnancy in the department of obstetrics and gynaecology, Sawai Man Singh Medical College, Jaipur. International Journal of Reproduction Contraception Obstetrics and Gynecology. 11(11). 3110–3110. 1 indexed citations
10.
Poonia, Vikas, Srinidhi Jha, & Manish Kumar Goyal. (2021). Copula based analysis of meteorological, hydrological and agricultural drought characteristics across Indian river basins. International Journal of Climatology. 41(9). 4637–4652. 75 indexed citations
11.
Poonia, Vikas, Manish Kumar Goyal, Srinidhi Jha, & Saket Dubey. (2021). Terrestrial ecosystem response to flash droughts over India. Journal of Hydrology. 605. 127402–127402. 61 indexed citations
12.
Poonia, Vikas, Jew Das, & Manish Kumar Goyal. (2021). Impact of climate change on crop water and irrigation requirements over eastern Himalayan region. Stochastic Environmental Research and Risk Assessment. 35(6). 1175–1188. 23 indexed citations
13.
Poonia, Vikas, Manish Kumar Goyal, Brij B. Gupta, et al.. (2021). Drought occurrence in Different River Basins of India and blockchain technology based framework for disaster management. Journal of Cleaner Production. 312. 127737–127737. 66 indexed citations
14.
Kumar, Nikhil, Vikas Poonia, Brij B. Gupta, & Manish Kumar Goyal. (2021). A novel framework for risk assessment and resilience of critical infrastructure towards climate change. Technological Forecasting and Social Change. 165. 120532–120532. 156 indexed citations breakdown →
15.
Das, Jew, Vikas Poonia, Srinidhi Jha, & Manish Kumar Goyal. (2020). Understanding the climate change impact on crop yield over Eastern Himalayan Region: ascertaining GCM and scenario uncertainty. Theoretical and Applied Climatology. 142(1-2). 467–482. 29 indexed citations
16.
Poonia, Vikas & H. L. Tiwari. (2020). Rainfall-runoff modeling for the Hoshangabad Basin of Narmada River using artificial neural network. Arabian Journal of Geosciences. 13(18). 31 indexed citations
17.
Poonia, Vikas, et al.. (2018). Hydrological Analysis by Artificial Neural Network: A Review. International journal of advance research, ideas and innovations in technology. 4(3). 265–270. 4 indexed citations
18.
Mahajan, Gulshan, Vikas Poonia, & Bhagirath Singh Chauhan. (2014). Integrated Weed Management Using Planting Pattern, Cultivar, and Herbicide in Dry-Seeded Rice in Northwest India. Weed Science. 62(2). 350–359. 16 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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