M. S. Madhusoodanan

2.6k citations
7 papers · 2.0k indexed · 1 hit paper · h-index 6
Topics
Climate variability and models (4 papers)Meteorological Phenomena and Simulations (2 papers)Tropical and Extratropical Cyclones Research (2 papers)
Partner nations
IndiaSwedenSingapore

In The Last Decade

M. S. Madhusoodanan

7 papers receiving 1.9k citations

Hit Papers

Increasing Trend of Extreme Rain Events Over India in a W...2006202620122019200650010001.5k

Peers

M. S. Madhusoodanan
Comparison fields: 5 of 90
  • Global and Planetary Change 1.7k
  • Atmospheric Science 1.3k
  • Ecology, Evolution, Behavior and Systematics 252
  • Oceanography 212
  • Water Science and Technology 200
Replace Sajjad Saeed with:
Sajjad Saeed Belgium
Amadou Thierno Gaye Senegal
Hans-Jürgen Panitz Germany
B. N. Goswami India
Xiaohua Pan United States
Milind Mujumdar India
D. R. Kothawale India
Gerald A. Meehl United States
Karen A. McKinnon United States
Robin Chadwick United Kingdom
M. S. Madhusoodanan relative to Sajjad Saeed Belgium Sajjad Saeed's profile →
Citations per field
00.5×3.3×
Sajjad Saeed · 1×
Citations per year

Countries citing papers authored by M. S. Madhusoodanan

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Madhusoodanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Madhusoodanan. 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 M. S. Madhusoodanan. The network helps show where M. S. Madhusoodanan may publish in the future.

Co-authorship network of co-authors of M. S. Madhusoodanan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 9
3 9
4 19
5 7
6 417
7
Increasing Trend of Extreme Rain Events Over India in a Warming Environmentbreakdown →
1539

About M. S. Madhusoodanan

M. S. Madhusoodanan is a scholar working on Atmospheric Science, Global and Planetary Change and Reproductive Medicine, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Meteorological Phenomena and Simulations (2 papers) and Tropical and Extratropical Cyclones Research (2 papers). The work is most often cited by research in Global and Planetary Change (1.7k citations), Atmospheric Science (1.3k citations) and Oceanography (212 citations). M. S. Madhusoodanan has collaborated with scholars based in India, Sweden and Singapore. Frequent co-authors include Debasis Sengupta, V. Venugopal, B. N. Goswami, Prince Xavier, B. N. Goswami, C. P. Neema, Sandhya K. Nair, Bijoy Thompson, Arindam Datta and Sajith Vezhapparambu. Their work appears in journals such as Science, Geophysical Research Letters and International Journal of Climatology.

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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