R.M. Fernando

705 citations
10 papers · 609 · h-index 7

Impact in

Papers in

R.M. Fernando

9 papers receiving 585 citations

Peers

R.M. Fernando
Comparison fields: 5 of 45
  • Soil Science 398
  • Global and Planetary Change 347
  • Water Science and Technology 185
  • Civil and Structural Engineering 176
  • Environmental Engineering 107
Replace A. Aboukhaled with:
A. Aboukhaled
Hanaa Darouich Portugal
Farida Dechmi Spain
K. W. Rojas United States
Matthew Bethune Australia
E. J. Sadler United States
Johannes Hösch Austria
Ricardo D. Rosa Portugal
E. C. Stegman United States
Leland A. Hardy United States
R.M. Fernando relative to A. Aboukhaled A. Aboukhaled's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.M. Fernando

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside R.M. Fernando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.M. Fernando Line = papers co-authored together R.M. Fernando links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011182
2 2006125
3 2011112
4 200764
5 200349
6 200538
7 200030
8 19956
9 20132
10
Assessment of NO3-N losses under different management practices using a dual porosity model.
20011

About R.M. Fernando

R.M. Fernando is a scholar working on Soil Science, Civil and Structural Engineering, Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 10 papers that have together received 609 indexed citations. Recurring topics across this work include Irrigation Practices and Water Management (7 papers), Soil and Unsaturated Flow (6 papers), Plant Water Relations and Carbon Dynamics (3 papers), Hydrology and Watershed Management Studies (2 papers), Soil Moisture and Remote Sensing (1 paper), Soil and Water Nutrient Dynamics (1 paper), Rice Cultivation and Yield Improvement (1 paper) and Greenhouse Technology and Climate Control (1 paper). The work is most often cited by research in Soil Science (398 citations), Global and Planetary Change (347 citations), Water Science and Technology (185 citations), Civil and Structural Engineering (176 citations) and Environmental Engineering (107 citations). R.M. Fernando has collaborated with scholars based in Portugal, United States and China. Frequent co-authors include L. S. Pereira, Maria do Rosário Cameira, Ricardo D. Rosa, Richard G. Allen, Paula Paredes, Isabel Alves, G. C. Rodrigues, Lajpat R. Ahuja, Liwang Ma and Pasquale Steduto. Their work appears in journals such as Agricultural Water Management, Journal of Hydrology and Socio-Environmental Systems Modeling.

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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