M. M. Ali

1.8k total citations
82 papers, 1.3k citations indexed

About

M. M. Ali is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, M. M. Ali has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Oceanography, 52 papers in Atmospheric Science and 44 papers in Global and Planetary Change. Recurrent topics in M. M. Ali's work include Ocean Waves and Remote Sensing (43 papers), Tropical and Extratropical Cyclones Research (39 papers) and Oceanographic and Atmospheric Processes (38 papers). M. M. Ali is often cited by papers focused on Ocean Waves and Remote Sensing (43 papers), Tropical and Extratropical Cyclones Research (39 papers) and Oceanographic and Atmospheric Processes (38 papers). M. M. Ali collaborates with scholars based in India, United States and Russia. M. M. Ali's co-authors include Debadatta Swain, I.‐I. Lin, Gustavo Goñi, John A. Knaff, Rashmi Sharma, Mark A. Bourassa, P. V. Nagamani, Saurabh Jain, Cristina Forbes and M. Rajeevan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

M. M. Ali

79 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. M. Ali India 20 981 939 834 101 59 82 1.3k
François Counillon Norway 25 792 0.8× 1.1k 1.2× 862 1.0× 65 0.6× 50 0.8× 65 1.5k
Yesubabu Viswanadhapalli India 23 387 0.4× 1.1k 1.2× 1.0k 1.2× 125 1.2× 50 0.8× 57 1.5k
T. J. Nightingale United Kingdom 15 764 0.8× 882 0.9× 843 1.0× 162 1.6× 125 2.1× 34 1.4k
P. C. Pandey India 15 387 0.4× 506 0.5× 388 0.5× 70 0.7× 55 0.9× 80 866
Laurence C. Breaker United States 18 652 0.7× 394 0.4× 427 0.5× 87 0.9× 182 3.1× 57 995
Jun Wei China 16 525 0.5× 350 0.4× 350 0.4× 38 0.4× 47 0.8× 41 688
Pierre Féménias Italy 16 691 0.7× 400 0.4× 298 0.4× 197 2.0× 148 2.5× 59 1.2k
Matthieu Le Hénaff United States 25 1.2k 1.2× 631 0.7× 752 0.9× 33 0.3× 163 2.8× 58 1.5k
Knut‐Frode Dagestad Norway 19 943 1.0× 493 0.5× 224 0.3× 56 0.6× 61 1.0× 48 1.3k
Jifeng Qi China 15 524 0.5× 303 0.3× 304 0.4× 43 0.4× 83 1.4× 43 748

Countries citing papers authored by M. M. Ali

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Ali

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Ali. A scholar is included among the top collaborators of M. M. Ali 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. M. Ali. M. M. Ali 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.
Satyanarayana, G., et al.. (2024). Predicting daily maximum temperature over Andhra Pradesh using machine learning techniques. Theoretical and Applied Climatology. 155(9). 8567–8585. 2 indexed citations
2.
Satyanarayana, G., et al.. (2023). Estimating Daily Temperatures over Andhra Pradesh, India, Using Artificial Neural Networks. Atmosphere. 14(10). 1501–1501. 2 indexed citations
3.
Bhowmick, Suchandra Aich, et al.. (2023). Generation of Non-Linear Technique Based 6 Hourly Wind Reanalysis Products Using SCATSAT-1 and Numerical Weather Prediction Model Outputs. Remote Sensing. 15(4). 1040–1040. 3 indexed citations
4.
Ali, M. M., Mark A. Bourassa, Yangxing Zheng, et al.. (2018). Statistical Evidence for the Role of Southwestern Indian Ocean Heat Content in the Indian Summer Monsoon Rainfall. Scientific Reports. 8(1). 12092–12092. 29 indexed citations
5.
Zheng, Yangxing, M. M. Ali, & Mark A. Bourassa. (2016). Contribution of Monthly and Regional Rainfall to the Strength of Indian Summer Monsoon. Monthly Weather Review. 144(9). 3037–3055. 11 indexed citations
6.
Ali, M. M., et al.. (2013). An Algorithm for Estimating Suspended Sediment Concentrations in the Coastal Waters of India using Remotely Sensed Reflectance and its Application to Coastal Environments. International Journal of Environmental Research. 7(4). 841–850. 31 indexed citations
7.
Ali, M. M., et al.. (2013). A soft‐computing cyclone intensity prediction scheme for the Western North Pacific Ocean. Atmospheric Science Letters. 14(3). 187–192. 21 indexed citations
8.
Rao, Mala, et al.. (2013). Estimation of sea level pressure fields during Cyclone Nilam from Oceansat‐2 scatterometer winds. Atmospheric Science Letters. 15(1). 65–71. 5 indexed citations
9.
Rajeevan, M., J. Srinivasan, Kondapalli Niranjan Kumar, C. Gnanaseelan, & M. M. Ali. (2013). On the epochal variation of intensity of tropical cyclones in the Arabian Sea. Atmospheric Science Letters. 14(4). 249–255. 58 indexed citations
10.
Ali, M. M., et al.. (2013). Estimating Wind Stress at the Ocean Surface From Scatterometer Observations. IEEE Geoscience and Remote Sensing Letters. 10(5). 1129–1132. 7 indexed citations
11.
Nayak, R. K., et al.. (2012). DIURNAL AND SEASONAL VARIATION OF MEASURED ATMOSPHERIC CO2 AT DEHRADUN DURING 2009. SHILAP Revista de lepidopterología. XXXVIII-8/W20. 87–90. 3 indexed citations
12.
Ali, M. M., et al.. (2011). Effect of Temperature and Salinity on Sound Speed in the Central Arabian Sea. 4(1). 5 indexed citations
13.
Ali, M. M., et al.. (2008). Seasonal Occurrence of Unique Sediment Plume in the Bay of Bengal. Eos. 89(3). 22–23. 14 indexed citations
14.
Ali, M. M., et al.. (2006). Estimation of upper ocean heat content from remote sensing observations in the Arabian Sea. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6404. 64041C–64041C. 2 indexed citations
15.
Ali, M. M., et al.. (2005). Determination of dynamic heights in the Bay of Bengal from XBT profiles and climatological salinities. Journal of Marine Research. 63(4). 671–682. 2 indexed citations
16.
Rahman, Md Mizanur, et al.. (2004). Finite Element Analysis of Slab and a Comparative Study with Others Analytical Solution. University of Canterbury Research Repository (University of Canterbury). 2 indexed citations
17.
Mohan, Madan & M. M. Ali. (1995). Estimation of wind stress induced offshore upwelling. Continental Shelf Research. 15(7). 757–762. 2 indexed citations
18.
Ali, M. M., et al.. (1994). Observation of interannual sea level oscillations in the Indian Ocean using Geosat altimeter data. Marine Geodesy. 17(1). 1–9. 1 indexed citations
19.
Sharma, Rashmi & M. M. Ali. (1993). Obtaining sea surface height signals from ERS‐1 altimeter data. Marine Geodesy. 16(3). 241–251. 3 indexed citations
20.
Ali, M. M., et al.. (1987). Inference of vertical motion in the Equatorial Indian Ocean using satellite data. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 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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