Nelun Fernando

24 total papers · 1.3k total citations
16 papers, 833 citations indexed

About

Nelun Fernando is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Nelun Fernando has authored 16 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 3 papers in Oceanography. Recurrent topics in Nelun Fernando's work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (5 papers) and Hydrology and Drought Analysis (4 papers). Nelun Fernando is often cited by papers focused on Climate variability and models (10 papers), Meteorological Phenomena and Simulations (5 papers) and Hydrology and Drought Analysis (4 papers). Nelun Fernando collaborates with scholars based in United States, Colombia and Australia. Nelun Fernando's co-authors include Bridget R. Scanlon, Rong Fu, Di Long, Himanshu Save, Laurent Longuevergne, Alexander Y. Sun, Robert E. Dickinson, Youlong Xia, Lianhong Gu and Christian Frankenberg and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Climate Dynamics.

In The Last Decade

Nelun Fernando

15 papers receiving 817 citations

Hit Papers

GRACE satellite monitorin... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nelun Fernando 591 260 203 182 141 16 833
Philip Omondi 681 1.2× 246 0.9× 335 1.7× 111 0.6× 165 1.2× 28 1.1k
Nathan O. Agutu 610 1.0× 314 1.2× 196 1.0× 85 0.5× 272 1.9× 23 933
P. Moore 480 0.8× 195 0.8× 324 1.6× 137 0.8× 295 2.1× 22 980
A. J. Purdy 495 0.8× 135 0.5× 146 0.7× 83 0.5× 284 2.0× 19 760
Maria Vittoria Struglia 573 1.0× 433 1.7× 430 2.1× 93 0.5× 48 0.3× 30 1.0k
Alexander Braun 208 0.4× 421 1.6× 208 1.0× 42 0.2× 108 0.8× 36 749
G Pavlic 328 0.6× 116 0.4× 141 0.7× 455 2.5× 60 0.4× 14 766
Junhua Li 260 0.4× 161 0.6× 294 1.4× 73 0.4× 170 1.2× 31 739
Ferris Webster 368 0.6× 615 2.4× 332 1.6× 105 0.6× 113 0.8× 29 948
G. Deblonde 331 0.6× 158 0.6× 587 2.9× 161 0.9× 26 0.2× 34 876

Countries citing papers authored by Nelun Fernando

Since Specialization
Citations

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

Fields of papers citing papers by Nelun Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nelun Fernando

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

All Works

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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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