Dev Niyogi

30.0k total citations · 6 hit papers
391 papers, 20.8k citations indexed

About

Dev Niyogi is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Dev Niyogi has authored 391 papers receiving a total of 20.8k indexed citations (citations by other indexed papers that have themselves been cited), including 260 papers in Global and Planetary Change, 186 papers in Atmospheric Science and 120 papers in Environmental Engineering. Recurrent topics in Dev Niyogi's work include Climate variability and models (170 papers), Meteorological Phenomena and Simulations (119 papers) and Plant Water Relations and Carbon Dynamics (86 papers). Dev Niyogi is often cited by papers focused on Climate variability and models (170 papers), Meteorological Phenomena and Simulations (119 papers) and Plant Water Relations and Carbon Dynamics (86 papers). Dev Niyogi collaborates with scholars based in United States, India and China. Dev Niyogi's co-authors include Fei Chen, Roger A. Pielke, Anil Kumar, Mukul Tewari, Kevin W. Manning, Michael Barlage, Michael Ek, U. C. Mohanty, Zong‐Liang Yang and Colin R. Townsend and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dev Niyogi

381 papers receiving 20.2k citations

Hit Papers

5 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.

The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements

2011 2.0k citations Zong‐Liang Yang, Fei Chen et al. profile →
Land use/land cover changes and climate: modeling analysis and observational evidence

2011 664 citations Dev Niyogi et al. profile →
The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases

2002 622 citations Dev Niyogi et al. profile →
The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins

2011 581 citations Zong‐Liang Yang, Fei Chen et al. profile →
Land cover changes and their biogeophysical effects on climate

2013 552 citations Dev Niyogi, Adriana Beltrán‐Przekurat et al. profile →
Western Disturbances: A review

2015 337 citations Dev Niyogi, U. C. Mohanty et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dev Niyogi United States	75	14.0k	9.4k	5.2k	3.1k	2.7k	391	20.8k
Jae Edmonds United States	60	11.2k 0.8×	5.0k 0.5×	4.4k 0.8×	3.7k 1.2×	2.0k 0.7×	216	24.0k
Deliang Chen Sweden	85	17.9k 1.3×	15.4k 1.6×	3.4k 0.7×	4.6k 1.5×	2.2k 0.8×	692	27.9k
Richard Betts United Kingdom	59	15.6k 1.1×	7.2k 0.8×	2.6k 0.5×	2.6k 0.8×	4.0k 1.4×	165	23.9k
Steven J. Smith United States	55	15.0k 1.1×	10.0k 1.1×	3.4k 0.6×	2.7k 0.9×	2.5k 0.9×	210	26.8k
Robert L. Wilby United Kingdom	78	17.2k 1.2×	7.8k 0.8×	4.8k 0.9×	10.6k 3.4×	2.0k 0.7×	262	24.8k
G. C. Hurtt United States	50	12.4k 0.9×	4.9k 0.5×	3.5k 0.7×	1.8k 0.6×	4.6k 1.7×	147	19.6k
Allison M. Thomson United States	38	13.0k 0.9×	6.2k 0.7×	2.3k 0.4×	3.0k 1.0×	3.2k 1.2×	79	22.3k
David R. Easterling United States	52	12.9k 0.9×	8.6k 0.9×	1.9k 0.4×	2.2k 0.7×	2.3k 0.8×	118	17.9k
Thomas R. Karl United States	77	20.6k 1.5×	14.3k 1.5×	3.7k 0.7×	3.2k 1.0×	3.1k 1.1×	172	28.6k
Shushi Peng China	59	10.8k 0.8×	4.7k 0.5×	3.0k 0.6×	2.3k 0.7×	5.0k 1.8×	189	17.1k

Countries citing papers authored by Dev Niyogi

Since Specialization

Citations

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

Fields of papers citing papers by Dev Niyogi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dev Niyogi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Shuzhe, Chao Wang, Xiang Zhang, et al.. (2025). Global anthropogenic effects on meteorological—hydrological—soil moisture drought propagation: Historical analysis and future projection. Journal of Hydrology. 653. 132755–132755. 5 indexed citations

Jiao, Junfeng, et al.. (2024). Spatio-temporal patterns of heat index and heat-related Emergency Medical Services (EMS). Sustainable Cities and Society. 111. 105562–105562. 10 indexed citations

Dashtian, Hassan, et al.. (2024). A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning. Journal of Hydrology Regional Studies. 56. 102020–102020.

Yang, Zong‐Liang, et al.. (2024). Capturing Urban Heterogeneity Enhances Tropical Cyclones Simulation in Houston. Journal of Geophysical Research Atmospheres. 129(19). 1 indexed citations

Khan, Ansar, Quang‐Van Doan, Rupali Khatun, et al.. (2023). Exploring the Meteorological Impacts of Surface and Rooftop Heat Mitigation Strategies Over a Tropical City. Journal of Geophysical Research Atmospheres. 128(8). 14 indexed citations

Martilli, Alberto, Manmeet Singh, Kevin Lanza, et al.. (2023). Human heat health index (H3I) for holistic assessment of heat hazard and mitigation strategies beyond urban heat islands. Urban Climate. 52. 101675–101675. 11 indexed citations

Kaginalkar, Akshara, Shamita Kumar, Prashant Gargava, & Dev Niyogi. (2023). Stakeholder analysis for designing an urban air quality data governance ecosystem in smart cities. Urban Climate. 48. 101403–101403. 22 indexed citations

Patel, Pratiman, et al.. (2023). Deep learning-based urban morphology for city-scale environmental modeling. PNAS Nexus. 2(3). pgad027–pgad027. 14 indexed citations

Nadimpalli, Raghu, et al.. (2023). Urban modification of heavy rainfall: a model case study for Bhubaneswar urban region. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

10.

Huang, Shuzhe, et al.. (2023). Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China. Earth s Future. 11(2). 62 indexed citations

11.

Mujumdar, Milind, Bhupendra Bahadur Singh, Trenton E. Franz, et al.. (2023). Understanding the soil water dynamics during excess and deficit rainfall conditions over the core monsoon zone of India. Environmental Research Letters. 18(11). 114011–114011. 2 indexed citations

12.

Mohanty, U. C., Pulak Guhathakurta, Akhilesh Gupta, et al.. (2023). Delay in timing and spatial reorganization of rainfall due to urbanization- analysis over India’s smart city Bhubaneswar. SHILAP Revista de lepidopterología. 3(1). 4 indexed citations

13.

Hu, Chenxi, Chi‐Yung Tam, Kevin K. W. Cheung, et al.. (2023). Urbanization Impacts on Tropical Cyclone Rainfall Extremes‐Inferences From Observations and Convection‐Permitting Model Experiments Over South China. Journal of Geophysical Research Atmospheres. 128(21). 12 indexed citations

14.

Zhang, Xiang, et al.. (2022). Flash Drought: Review of Concept, Prediction and the Potential for Machine Learning, Deep Learning Methods. Earth s Future. 10(11). 52 indexed citations

15.

Mall, R. K., et al.. (2021). Evaluation of Bias Correction Methods for Regional Climate Models: Downscaled Rainfall Analysis Over Diverse Agroclimatic Zones of India. Earth and Space Science. 9(2). 33 indexed citations

16.

Jamshidi, Sajad, et al.. (2020). Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19. International Journal of Environmental Research and Public Health. 17(21). 7847–7847. 56 indexed citations

17.

Osuri, Krishna K., et al.. (2019). The response of ocean parameters to tropical cyclones in the Bay of Bengal. Quarterly Journal of the Royal Meteorological Society. 145(724). 3320–3332. 27 indexed citations

18.

Niyogi, Dev. (2017). Investigation of the Impact of Urbanization Under the 2015 Delhi Heat Wave Scenario. 1 indexed citations

19.

Beltrán‐Przekurat, Adriana, et al.. (2006). Simulating Changes in Land-Atmosphere Interactions From Expanding Agriculture and Irrigation in India and the Potential Impacts on the Indian Monsoon.. AGUSM. 2007. 2 indexed citations

20.

Niyogi, Dev, et al.. (2005). Potential Impacts of Aerosol-Land-Atmosphere Interaction on the Indian Monsoonal Rainfall Characteristics. AGUFM. 2005. 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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