J J Yio

1.3k total citations
13 papers, 791 citations indexed

About

J J Yio is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, J J Yio has authored 13 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in J J Yio's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (11 papers) and Atmospheric aerosols and clouds (5 papers). J J Yio is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (11 papers) and Atmospheric aerosols and clouds (5 papers). J J Yio collaborates with scholars based in United States, Canada and United Kingdom. J J Yio's co-authors include Shaocheng Xie, R.T. Cederwall, Jianing Lin, Minghua Zhang, Kuan‐Man Xu, David A. Randall, James S. Boyle, Steven K. Krueger, Michael Fiorino and Thomas J. Phillips and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

J J Yio

13 papers receiving 759 citations

Peers

J J Yio

GPC

OCEAN

Maike Ahlgrimm United Kingdom

Tatsuya Seiki Japan

Isabelle Beau France

Chung‐Chieh Wang Taiwan

Jishan Xue China

Lanqiang Bai China

Richard S. Penc United States

Hélène Brogniez France

Carol Halliwell United Kingdom

Su-Tzai Soong United States

Maike Ahlgrimm United Kingdom

J J Yio

610 ×0.8

601 ×0.8

GPC

33 ×0.6

OCEAN

38 ×1.2

31 ×1.1

Citations per year, relative to J J Yio J J Yio (= 1×) peers Maike Ahlgrimm

Countries citing papers authored by J J Yio

Since Specialization

Citations

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

Fields of papers citing papers by J J Yio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J J Yio

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

All Works

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13 of 13 papers shown

Xie, Shaocheng, Stephen A. Klein, J J Yio, et al.. (2006). An assessment of ECMWF analyses and model forecasts over the North Slope of Alaska using observations from the ARM Mixed‐Phase Arctic Cloud Experiment. Journal of Geophysical Research Atmospheres. 111(D5). 26 indexed citations

Xie, Shaocheng, Stephen A. Klein, Minghua Zhang, et al.. (2006). Developing large‐scale forcing data for single‐column and cloud‐resolving models from the Mixed‐Phase Arctic Cloud Experiment. Journal of Geophysical Research Atmospheres. 111(D19). 23 indexed citations

Xu, Kuan‐Man, Minghua Zhang, Zachary A. Eitzen, et al.. (2005). Modeling springtime shallow frontal clouds with cloud‐resolving and single‐column models. Journal of Geophysical Research Atmospheres. 110(D15). 46 indexed citations

Phillips, Thomas J., Gerald L. Potter, David L. Williamson, et al.. (2004). Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction. Bulletin of the American Meteorological Society. 85(12). 1903–1916. 168 indexed citations

Xie, Shaocheng, R.T. Cederwall, Minghua Zhang, & J J Yio. (2003). Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site. Journal of Geophysical Research Atmospheres. 108(D16). 21 indexed citations

Phillips, Thomas J., G. L. Potter, David Williamson, et al.. (2003). The CCPP-ARM Parameterization Testbed (CAPT): Where Climate Simulation Meets Weather Prediction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Xu, Kuan‐Man, R.T. Cederwall, Leo J. Donner, et al.. (2002). An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data. Quarterly Journal of the Royal Meteorological Society. 128(580). 593–624. 187 indexed citations

Lin, Jianing, et al.. (2001). Objective Analysis of ARM IOP Data: Method and Sensitivity. Monthly Weather Review. 129(2). 295–311. 187 indexed citations

Johnson, D E, W. Tao, Steven K. Krueger, et al.. (2000). Cloud-Resolving Model Intercomparison with the ARM Summer 1997 IOP Data. University of North Texas Digital Library (University of North Texas). 3 indexed citations

10.

Chin, Hung-Neng S., Daniel J. Rodriguez, R.T. Cederwall, et al.. (2000). A Microphysical Retrieval Scheme for Continental Low-Level Stratiform Clouds: Impacts of the Subadiabatic Character on Microphysical Properties and Radiation Budgets. Monthly Weather Review. 128(7). 2511–2527. 22 indexed citations

11.

Ghan, S. J., David A. Randall, Kuan‐Man Xu, et al.. (2000). A comparison of single column model simulations of summertime midlatitude continental convection. Journal of Geophysical Research Atmospheres. 105(D2). 2091–2124. 99 indexed citations

12.

Lin, Jianing, et al.. (1999). Objective analysis of the ARM IOP data: method and sensitivity. University of North Texas Digital Library (University of North Texas). 7 indexed citations

13.

Lin, Jianing, et al.. (1999). Sensitivity of the Vertical Velocity and Advective Tendencies Analyzed Over the ARM SGP Site to Input Data and Analysis Methods. 1 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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