N. Ohara

1.6k total citations
82 papers, 1.2k citations indexed

About

N. Ohara is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, N. Ohara has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 40 papers in Water Science and Technology. Recurrent topics in N. Ohara's work include Cryospheric studies and observations (42 papers), Hydrology and Watershed Management Studies (39 papers) and Climate variability and models (34 papers). N. Ohara is often cited by papers focused on Cryospheric studies and observations (42 papers), Hydrology and Watershed Management Studies (39 papers) and Climate variability and models (34 papers). N. Ohara collaborates with scholars based in United States, Japan and South Korea. N. Ohara's co-authors include M. L. Kavvas, S. Jang, Shuichi KURE, Z. Q. Chen, Michael Anderson, Kei Ishida, Jaeyoung Yoon, Michael L. Anderson, Hafzullah Aksoy and Mohd Zaki Mat Amin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

N. Ohara

75 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Ohara United States 20 658 628 557 154 118 82 1.2k
Alexander Gelfan Russia 16 551 0.8× 525 0.8× 702 1.3× 145 0.9× 163 1.4× 57 1.1k
Liqiao Liang China 18 819 1.2× 464 0.7× 634 1.1× 143 0.9× 173 1.5× 55 1.2k
Xieyao Ma China 24 1.1k 1.6× 516 0.8× 448 0.8× 159 1.0× 99 0.8× 60 1.4k
P. Hazenberg United States 20 665 1.0× 471 0.8× 612 1.1× 274 1.8× 71 0.6× 35 1.1k
Roberto Ranzi Italy 24 868 1.3× 780 1.2× 591 1.1× 319 2.1× 150 1.3× 78 1.6k
Bruno Schädler Switzerland 15 865 1.3× 662 1.1× 955 1.7× 149 1.0× 163 1.4× 31 1.5k
Stein Beldring Norway 19 594 0.9× 409 0.7× 659 1.2× 187 1.2× 87 0.7× 42 1.0k
Jianqing Zhai China 20 912 1.4× 536 0.9× 456 0.8× 191 1.2× 113 1.0× 31 1.4k
Pratap Singh India 20 461 0.7× 899 1.4× 663 1.2× 155 1.0× 116 1.0× 30 1.4k
Gwen Buys United Kingdom 10 600 0.9× 557 0.9× 357 0.6× 79 0.5× 143 1.2× 15 1.1k

Countries citing papers authored by N. Ohara

Since Specialization
Citations

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

Fields of papers citing papers by N. Ohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Ohara

This figure shows the co-authorship network connecting the top 25 collaborators of N. Ohara. A scholar is included among the top collaborators of N. Ohara 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 N. Ohara. N. Ohara 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.
Ohara, N., et al.. (2025). Stochastic modeling of blowing snow: Analyzing risk and deposition time dynamics. Cold Regions Science and Technology. 232. 104446–104446.
2.
Ohara, N., et al.. (2024). Characterization of non-Gaussianity in the snow distributions of various landscapes. ˜The œcryosphere. 18(11). 5139–5152.
3.
Ohara, N., Benjamin Jones, A. Parsekian, et al.. (2022). A new Stefan equation to characterize the evolution of thermokarst lake and talik geometry. ˜The œcryosphere. 16(4). 1247–1264. 10 indexed citations
4.
Ohara, N., et al.. (2022). Jejunogastric intussusception after pancreaticoduodenectomy: a case report. SHILAP Revista de lepidopterología. 8(1). 91–91.
5.
Parsekian, A., Louise Farquharson, Benjamin Jones, et al.. (2021). Geophysical Observations of Taliks Below Drained Lake Basins on the Arctic Coastal Plain of Alaska. Journal of Geophysical Research Solid Earth. 126(3). 18 indexed citations
6.
Bergstedt, Helena, Benjamin Jones, Kenneth M. Hinkel, et al.. (2021). Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska. Remote Sensing. 13(13). 2539–2539. 12 indexed citations
7.
Ohara, N., Benjamin Jones, A. Parsekian, et al.. (2021). Three-Dimensional Stefan Equation for Thermokarst Lake and Talik Geometry Characterization. 3 indexed citations
8.
Jones, Benjamin, Christopher D. Arp, Guido Grosse, et al.. (2020). Identifying historical and future potential lake drainage events on the western Arctic coastal plain of Alaska. Permafrost and Periglacial Processes. 31(1). 110–127. 35 indexed citations
9.
Ishida, Kei, N. Ohara, Ali Ercan, et al.. (2019). Impacts of climate change on snow accumulation and melting processes over mountainous regions in Northern California during the 21st century. The Science of The Total Environment. 685. 104–115. 17 indexed citations
10.
Ohara, N., et al.. (2019). Theoretical Stable Hydraulic Section based on the Principle of Least Action. Scientific Reports. 9(1). 7957–7957. 6 indexed citations
11.
Ishida, Kei, Ali Ercan, Toan Trinh, et al.. (2018). Analysis of future climate change impacts on snow distribution over mountainous watersheds in Northern California by means of a physically-based snow distribution model. The Science of The Total Environment. 645. 1065–1082. 12 indexed citations
12.
Ohara, N., et al.. (2018). Technical note: Snow Water Equivalence Estimation (SWEE) Algorithm from Snow Depth Time Series Using a Snow Density Model. Biogeosciences (European Geosciences Union). 1 indexed citations
13.
Ohara, N., et al.. (2016). Temporal and spatial variability of snow wetness measured with a snow fork near a lysimeter trench in Noname Watershed, Little Laramie River Basin, Wyoming. AGUFM. 2016. 1 indexed citations
14.
Ohara, N.. (2014). Development of Snow Movement over Open Terrain for Hydrology (SMOOTH) model. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
15.
Ohara, N., et al.. (2014). Implementing the Effects of Changing Landscape by the Recent Bark Beetle Infestation on Snow Accumulation and Ablation to More Accurately Predict Stream Flow in the Upper Little Laramie River, Wyoming watershed.. 2014 AGU Fall Meeting. 2014. 1 indexed citations
16.
Reichler, Thomas, Marcos Andrade, & N. Ohara. (2014). Use of multi-model ensembles for regional climate downscaling. EGU General Assembly Conference Abstracts. 1819. 1 indexed citations
17.
Ohara, N.. (2014). A practical formulation of snow surface diffusion by wind for watershed‐scale applications. Water Resources Research. 50(6). 5074–5089. 12 indexed citations
18.
19.
Kavvas, M. L., et al.. (2009). Coupled regional modelling of atmospheric-hydrologic processes for reconstruction of hydro-climate data and climate change assessment.. IAHS-AISH publication. 155–164. 1 indexed citations
20.
Ohara, N., et al.. (2007). Estimation of ET Based on Reconstructed Atmospheric Conditions and Remotely Sensed Information Over Last Chance Creek Watershed, Feather River Basin, California. World Environmental and Water Resources Congress 2007. 98. 1–9. 2 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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