Saji Mohandas

604 total citations
37 papers, 374 citations indexed

About

Saji Mohandas is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Saji Mohandas has authored 37 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Saji Mohandas's work include Meteorological Phenomena and Simulations (29 papers), Climate variability and models (24 papers) and Tropical and Extratropical Cyclones Research (11 papers). Saji Mohandas is often cited by papers focused on Meteorological Phenomena and Simulations (29 papers), Climate variability and models (24 papers) and Tropical and Extratropical Cyclones Research (11 papers). Saji Mohandas collaborates with scholars based in India, United Kingdom and United States. Saji Mohandas's co-authors include E. N. Rajagopal, Raghavendra Ashrit, Gopal Iyengar, A. Jayakumar, John P. George, Ashis K. Mitra, Someshwar Das, Vivek Kumar Singh, Stuart Webster and Ian Boutle and has published in prestigious journals such as Geophysical Research Letters, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

Saji Mohandas

32 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saji Mohandas India 13 322 309 67 51 11 37 374
Frank P. Colby United States 8 318 1.0× 325 1.1× 30 0.4× 31 0.6× 8 0.7× 18 373
S. Rugg United States 4 456 1.4× 406 1.3× 57 0.9× 32 0.6× 7 0.6× 8 482
K. Saikranthi India 11 300 0.9× 252 0.8× 62 0.9× 41 0.8× 9 0.8× 20 353
Olivier Traullé France 9 205 0.6× 201 0.7× 48 0.7× 32 0.6× 9 0.8× 14 278
Bernat Jiménez‐Esteve Switzerland 10 334 1.0× 323 1.0× 55 0.8× 95 1.9× 19 1.7× 16 386
A. Jayakumar India 14 339 1.1× 432 1.4× 58 0.9× 191 3.7× 13 1.2× 38 496
Meral Demirtaş Türkiye 9 506 1.6× 485 1.6× 70 1.0× 45 0.9× 37 3.4× 17 576
Lizzie S. R. Froude United Kingdom 8 409 1.3× 393 1.3× 36 0.5× 34 0.7× 5 0.5× 11 448
Morten Køltzow Norway 11 441 1.4× 329 1.1× 33 0.5× 33 0.6× 8 0.7× 22 467

Countries citing papers authored by Saji Mohandas

Since Specialization
Citations

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

Fields of papers citing papers by Saji Mohandas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saji Mohandas

This figure shows the co-authorship network connecting the top 25 collaborators of Saji Mohandas. A scholar is included among the top collaborators of Saji Mohandas 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 Saji Mohandas. Saji Mohandas 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.
Jayakumar, A., Saji Mohandas, Paul R. Field, et al.. (2025). Analysis of raindrop size distribution from the double moment cloud microphysics scheme for monsoon over a tropical station. Atmospheric chemistry and physics. 25(18). 11423–11439.
2.
Kumar, Kondapalli Niranjan, et al.. (2025). Improvements in Precipitation Product with Newer NASA/GPM IMERG Algorithm on TRMM/TMPA Data During Summer Monsoon Period over India. Journal of the Indian Society of Remote Sensing. 53(11). 3917–3934.
3.
Jayakumar, A., Shweta Bhati, M. A. Hendry, et al.. (2025). Development of an Integrated Modeling Framework for Visibility and Air Quality Forecasting in Delhi. Bulletin of the American Meteorological Society. 106(2). E261–E274. 2 indexed citations
4.
Ashrit, Raghavendra, Kondapalli Niranjan Kumar, Upal Saha, et al.. (2024). Assessment of extreme rainfall events for iFLOWS Mumbai in NCUM regional forecasting system. Natural Hazards. 120(12). 10785–10805. 3 indexed citations
5.
Bush, Mike, Ian Boutle, John Edwards, et al.. (2023). The second Met Office Unified Model–JULES Regional Atmosphere and Land configuration, RAL2. Geoscientific model development. 16(6). 1713–1734. 34 indexed citations
6.
Jayakumar, A., Kshama Gupta, Saji Mohandas, et al.. (2022). Implementation of the urban parameterization scheme in the Delhi model with an improved urban morphology. Quarterly Journal of the Royal Meteorological Society. 149(750). 40–60. 13 indexed citations
7.
Ashrit, Raghavendra, Anumeha Dube, T. Arulalan, et al.. (2021). Tropical cyclone forecast using NCMRWF Global (12 km) and regional (4 km) models. MAUSAM. 72(1). 129–146. 7 indexed citations
8.
Jayakumar, A., et al.. (2019). Impact of Cartosat-1 Orography in 330 M Unified Model Forecast. Current Science. 116(5). 816–816. 4 indexed citations
9.
Jayakumar, A., et al.. (2019). Impact of Cartosat-1 orography on weather prediction in a high-resolution NCMRWF unified model. Journal of Earth System Science. 128(4). 5 indexed citations
10.
Jayakumar, A., E. N. Rajagopal, Ian Boutle, et al.. (2017). An operational fog prediction system for Delhi using the 330 m Unified Model. Atmospheric Science Letters. 19(1). 27 indexed citations
11.
Jayakumar, A., et al.. (2017). Behavior of predicted convective clouds and precipitation in the high‐resolution Unified Model over the Indian summer monsoon region. Earth and Space Science. 4(5). 303–313. 20 indexed citations
12.
Jayakumar, A., et al.. (2016). Evaluation of NCMRWF unified model vertical cloud structure with CloudSat over the Indian summer monsoon region. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9882. 988207–988207. 1 indexed citations
13.
Unnikrishnan, C. K., Biswadip Gharai, Saji Mohandas, et al.. (2016). Recent changes on land use/land cover over Indian region and its impact on the weather prediction using Unified model. Atmospheric Science Letters. 17(4). 294–300. 28 indexed citations
14.
Jayakumar, A., Andrew G. Turner, Stephanie J. Johnson, et al.. (2016). Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model. Climate Dynamics. 49(5-6). 2035–2059. 6 indexed citations
15.
Mohandas, Saji & H. N. Singh. (2015). Spatial verification of rainfall forecasts for very severe cyclonic storm ‘Phailin’. MAUSAM. 66(3). 387–402.
16.
Ashrit, Raghavendra & Saji Mohandas. (2010). Mesoscale model forecast verification during monsoon 2008. Journal of Earth System Science. 119(4). 417–446. 14 indexed citations
17.
Das, Someshwar, Raghavendra Ashrit, Gopal Iyengar, et al.. (2008). Skills of different mesoscale models over Indian region during monsoon season: Forecast errors. Journal of Earth System Science. 117(5). 603–620. 48 indexed citations
18.
Mohandas, Saji, S. Dash, & Pratap Kumar Mohanty. (2008). Indian summer monsoon simulation studies with different orographic representations in a spectral GCM. International Journal of Climatology. 29(2). 269–288. 2 indexed citations
19.
Dash, S. & Saji Mohandas. (2005). Comparative study of different orographic representations with respect to the Indian summer monsoon simulation. 53. 325–340. 2 indexed citations
20.
Mohandas, Saji & E. N. Rajagopal. (2005). Sensitivity of land surface parameterization on Regional Spectral Model forecasts. Current Science. 88(6). 935–941. 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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