D. Padmalal

3.0k total citations · 1 hit paper
89 papers, 2.1k citations indexed

About

D. Padmalal is a scholar working on Earth-Surface Processes, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, D. Padmalal has authored 89 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Earth-Surface Processes, 22 papers in Atmospheric Science and 22 papers in Water Science and Technology. Recurrent topics in D. Padmalal's work include Geological formations and processes (21 papers), Geology and Paleoclimatology Research (20 papers) and Groundwater and Isotope Geochemistry (19 papers). D. Padmalal is often cited by papers focused on Geological formations and processes (21 papers), Geology and Paleoclimatology Research (20 papers) and Groundwater and Isotope Geochemistry (19 papers). D. Padmalal collaborates with scholars based in India, Germany and Romania. D. Padmalal's co-authors include P. Arulbalaji, K. Maya, K. Sreelash, K.P.N. Kumaran, Ruta B. Limaye, R. Sreeja, P Seralathan, K. M. Nair, Ammini Joseph and Upasana S. Banerji and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

D. Padmalal

81 papers receiving 2.0k citations

Hit Papers

GIS and AHP Techniques Based Delineation of Groundwater P... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Padmalal India 23 819 640 600 394 372 89 2.1k
Yongjun Jiang China 27 528 0.6× 364 0.6× 509 0.8× 300 0.8× 281 0.8× 86 1.9k
Yves Travi France 24 835 1.0× 538 0.8× 699 1.2× 307 0.8× 561 1.5× 59 2.3k
Maki Tsujimura Japan 29 701 0.9× 827 1.3× 822 1.4× 394 1.0× 481 1.3× 119 2.5k
Pankaj Kumar India 24 747 0.9× 1.1k 1.8× 497 0.8× 311 0.8× 497 1.3× 83 2.1k
Jinzhu Ma China 27 1.1k 1.3× 810 1.3× 870 1.4× 214 0.5× 654 1.8× 80 2.7k
Marie Larocque Canada 23 802 1.0× 570 0.9× 728 1.2× 535 1.4× 320 0.9× 111 2.0k
Guofeng Zhu China 26 396 0.5× 988 1.5× 506 0.8× 339 0.9× 600 1.6× 96 2.1k
Lhoussaine Bouchaou Morocco 31 1.3k 1.6× 814 1.3× 885 1.5× 152 0.4× 378 1.0× 140 3.1k
Ognjen Bonacci Croatia 27 1.1k 1.3× 823 1.3× 688 1.1× 377 1.0× 351 0.9× 169 2.6k
M. Alisa Mast United States 29 457 0.6× 455 0.7× 666 1.1× 492 1.2× 771 2.1× 81 2.5k

Countries citing papers authored by D. Padmalal

Since Specialization
Citations

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

Fields of papers citing papers by D. Padmalal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Padmalal

This figure shows the co-authorship network connecting the top 25 collaborators of D. Padmalal. A scholar is included among the top collaborators of D. Padmalal 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 D. Padmalal. D. Padmalal 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.
Banerji, Upasana S., D. Padmalal, K. Maya, et al.. (2025). Decoding late Quaternary paleoclimatic signatures from the western Bay of Bengal: A multiproxy approach. Quaternary International. 740. 109887–109887.
2.
Sreelash, K., et al.. (2025). Comprehensive evaluation of groundwater quality and human health risk assessment in an ecologically sensitive mountainous catchment in Southern Western Ghats, India. Human and Ecological Risk Assessment An International Journal. 31(7-8). 921–953.
4.
Sreelash, K., et al.. (2025). Natural and anthropogenic controls on nutrient fluxes in two small rivers draining contrasting climate gradients across Southern Western Ghats, India. Environmental Monitoring and Assessment. 197(8). 884–884. 2 indexed citations
5.
Padmalal, D., et al.. (2023). Streamflow prediction using machine learning models in selected rivers of Southern India. International Journal of River Basin Management. 22(4). 529–555. 19 indexed citations
6.
Banerji, Upasana S., et al.. (2022). Paleoclimatic and paleoceanographic records from the Bay of Bengal sediments during the last 30 ka. Journal of Asian Earth Sciences. 229. 105169–105169. 13 indexed citations
7.
Sreelash, K., et al.. (2022). Diverging monthly rainfall trends in south peninsular India and their association with global climate indices. Stochastic Environmental Research and Risk Assessment. 37(1). 27–48. 7 indexed citations
8.
Maya, K., et al.. (2020). Environmental impact assessment (EIA) of hard rock quarrying in a tropical river basin—study from the SW India. Environmental Monitoring and Assessment. 192(9). 580–580. 19 indexed citations
9.
Das, Prasenjit, K. Maya, & D. Padmalal. (2020). Hydrochemistry, geothermometry and origin of the low temperature thermal springs of South Konkan region, India. Geothermics. 90. 101997–101997. 30 indexed citations
11.
Padmalal, D., et al.. (2014). Holocene land-sea interactions and landform changes in the coastal lands of Vembanad lagoon, Kerala, SW India. 2 indexed citations
12.
Padmalal, D., et al.. (2013). Depositional behaviour of C-org, N, P and K in the surface sediments of two shallow water bodies in a tropical coast, India. Environmental Monitoring and Assessment. 185(9). 7181–7193. 5 indexed citations
13.
Maya, K., et al.. (2012). Impact of Mining and Quarrying in Muvattupuzha River Basin, Kerala - An Overview on Its Environmental Effects. 2. 36–40. 9 indexed citations
14.
Kumaran, K.P.N., Ruta B. Limaye, & D. Padmalal. (2012). 256 Holocene vegetation dynamics in southwestern India : palynological and palaeoecological appraisal of terrestrial and marine archives. 58. 117–118. 1 indexed citations
15.
Padmalal, D., et al.. (2012). Hydrochemical characterisation and water quality assessment of the coastal springs of southern Kerala, India. 14(4). 466–481. 8 indexed citations
16.
Padmalal, D., et al.. (2011). Water quality and dissolved inorganic fluxes of N, P, SO4, and K of a small catchment river in the Southwestern Coast of India. Environmental Monitoring and Assessment. 184(3). 1541–1557. 22 indexed citations
17.
Padmalal, D., et al.. (2007). Quality of Surface and Ground Water Around Tile and Brick Clay Mines in the Chalakudy River Basin, Southwestern India. Journal of the Geological Society of India. 69(2). 279–284. 8 indexed citations
18.
Nair, K. M., D. Padmalal, & K.P.N. Kumaran. (2006). Quaternary Geology of South Kerala Sedimentary Basin – An Outline. Journal of the Geological Society of India. 67(2). 165–179. 24 indexed citations
19.
Padmalal, D., et al.. (1996). Texture and geochemistry of the sediments of a tropical mangrove ecosystem, southwest coast of India. Environmental Geology. 27(3). 164–169. 5 indexed citations
20.
Padmalal, D. & P Seralathan. (1991). Interstitial water-sediment geochemistry of P and Fe in sediments of Vembanad lake, west coast of India. Indian Journal of Marine Sciences. 20(4). 263–266. 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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