Viju O. John

4.2k total citations · 1 hit paper
87 papers, 2.4k citations indexed

About

Viju O. John is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Viju O. John has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Atmospheric Science, 72 papers in Global and Planetary Change and 15 papers in Aerospace Engineering. Recurrent topics in Viju O. John's work include Meteorological Phenomena and Simulations (55 papers), Climate variability and models (50 papers) and Atmospheric Ozone and Climate (26 papers). Viju O. John is often cited by papers focused on Meteorological Phenomena and Simulations (55 papers), Climate variability and models (50 papers) and Atmospheric Ozone and Climate (26 papers). Viju O. John collaborates with scholars based in Germany, United Kingdom and Sweden. Viju O. John's co-authors include Stefan A. Buehler, Brian J. Soden, Richard P. Allan, Patrick Eriksson, Stephen A. Klein, Roger Marchand, Mark J. Webb, Jean‐Louis Dufresne, John M. Haynes and Sandrine Bony and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Viju O. John

81 papers receiving 2.3k citations

Hit 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.

COSP: Satellite simulation software for model assessment

2011 460 citations Viju O. John et al. profile →

Peers

Viju O. John

AS

GPC

OCEAN

AE

AA

Yong Han United States

Xianglei Huang United States

Ulrich Löhnert Germany

A. P. McNally United Kingdom

Ian Boutle United Kingdom

Brian H. Kahn United States

Graeme Kelly United Kingdom

Michael Fisher United Kingdom

Günther Zängl Germany

Claudia Emde Germany

Yong Han United States

Viju O. John

2.3k ×1.1

AS

1.9k ×0.9

GPC

211 ×0.8

OCEAN

504 ×2.5

AE

172 ×1.2

AA

Citations per year, relative to Viju O. John Viju O. John (= 1×) peers Yong Han

Countries citing papers authored by Viju O. John

Since Specialization

Citations

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

Fields of papers citing papers by Viju O. John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viju O. John. 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 Viju O. John. The network helps show where Viju O. John may publish in the future.

Co-authorship network of co-authors of Viju O. John

This figure shows the co-authorship network connecting the top 25 collaborators of Viju O. John. A scholar is included among the top collaborators of Viju O. John 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 Viju O. John. Viju O. John 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

1.

Kottayil, Ajil, et al.. (2025). Deciphering the Relationship Between Moisture Flux and Monsoon Extreme Rainfall Over the West Coast of India. International Journal of Climatology. 45(5). 3 indexed citations

2.

Platen, Erwin, et al.. (2024). The Classification of Tropical Storm Systems in Infrared Geostationary Weather Satellite Images Using Transfer Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5234–5244. 2 indexed citations

3.

Kottayil, Ajil, et al.. (2023). Influence of monsoon extreme rainfall on the distribution of upper tropospheric humidity. International Journal of Climatology. 43(16). 7633–7645. 3 indexed citations

4.

John, Viju O., Lei Shi, Eui‐Seok Chung, et al.. (2022). Upper Tropospheric Humidity. CentAUR (University of Reading).

5.

Shi, Lei, Carl J. Schreck, Viju O. John, et al.. (2022). Assessing the consistency of satellite-derived upper tropospheric humidity measurements. Atmospheric measurement techniques. 15(23). 6949–6963. 5 indexed citations

6.

Bos, A., et al.. (2020). Automatic quality control of the Meteosat First Generation measurements. Atmospheric measurement techniques. 13(3). 1167–1179. 4 indexed citations

7.

Riuttanen, Laura, M. Bister, Veli‐Matti Kerminen, et al.. (2016). Observational evidence for aerosols increasing upper tropospheric humidity. Atmospheric chemistry and physics. 16(22). 14331–14342. 5 indexed citations

8.

Yang, Wenze, Viju O. John, Xuepeng Zhao, Hui Lü, & Kenneth R. Knapp. (2016). Satellite Climate Data Records: Development, Applications, and Societal Benefits. Remote Sensing. 8(4). 331–331. 23 indexed citations

9.

Larsson, Richard, M. Milz, Peter Joseph Rayer, et al.. (2016). Modeling the Zeeman effect in high-altitude SSMIS channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model. Atmospheric measurement techniques. 9(2). 841–857. 2 indexed citations

10.

Roebeling, Rob, et al.. (2015). METEOSAT IR and WV channels Fundamental Climate Data Record. EGUGA. 1485. 1 indexed citations

11.

John, Viju O., et al.. (2015). Upper Tropospheric Humidity from SAPHIR on-Board Megha-Tropiques. Current Science. 108(10). 1915–1922. 3 indexed citations

12.

Riuttanen, Laura, M. Bister, Viju O. John, et al.. (2014). Aerosols increase upper tropospheric humidity over the North Western Pacific. EGUGA. 9690. 1 indexed citations

13.

Shi, Lei, Carl J. Schreck, & Viju O. John. (2013). HIRS channel 12 brightness temperature dataset and its correlations with major climate indices. Atmospheric chemistry and physics. 13(14). 6907–6920. 9 indexed citations

14.

Buehler, Stefan A., Christian Melsheimer, Gerrit Holl, et al.. (2012). A multi-instrument comparison of integrated water vapour measurements at a high latitude site. Atmospheric chemistry and physics. 12(22). 10925–10943. 50 indexed citations

15.

Shi, Lei, Carl J. Schreck, & Viju O. John. (2012). An improved HIRS upper tropospheric water vapor dataset and its correlations with major climate indices. 1 indexed citations

16.

Eliasson, Salomon, Stefan A. Buehler, M. Milz, Patrick Eriksson, & Viju O. John. (2010). Assessing modelled spatial distributions of ice water path using satellite data. 3 indexed citations

17.

Pietranera, L., Stefan A. Buehler, P. Calisse, et al.. (2007). Observing cosmic microwave background polarization through ice. Monthly Notices of the Royal Astronomical Society. 376(2). 645–650. 4 indexed citations

18.

John, Viju O., Brian J. Soden, & Stefan A. Buehler. (2006). Comparison of UTH in IPCC AR4 coupled GCMs to microwave observations. AGU Spring Meeting Abstracts. 2007.

19.

Jiménez, Carlos, Patrick Eriksson, Viju O. John, & Stefan A. Buehler. (2005). A practical demonstration on AMSU retrieval precision for upper tropospheric humidity by a non-linear multi-channel regression method. Atmospheric chemistry and physics. 5(2). 451–459. 6 indexed citations

20.

John, Viju O., et al.. (2005). Retrieval of upper tropospheric water vapor and upper tropospheric humidity from AMSU radiances. Atmospheric chemistry and physics. 5(8). 2019–2028. 4 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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