Sandhya Samarasinghe

3.0k citations
116 papers · 2.2k indexed · h-index 23

Impact in

Papers in

Sandhya Samarasinghe

105 papers receiving 2.1k citations

Peers

Sandhya Samarasinghe
Comparison fields: 5 of 182
  • Environmental Engineering 360
  • Building and Construction 189
  • Analytical Chemistry 127
  • Animal Science and Zoology 114
  • Artificial Intelligence 334
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Citations per field
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Citations per year

Countries citing papers authored by Sandhya Samarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya Samarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandhya Samarasinghe, 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 Sandhya Samarasinghe Line = papers co-authored together Sandhya Samarasinghe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
2006335
2 2011207
3 2016165
4 2014130
5 2011112
6 2006109
7 200551
8 201150
9
Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand
201548
10 200947
11 201041
12 201235
13 200734
14 202331
15 200431
16 200730
17 200929
18 201528
19 201227
20 201426

About Sandhya Samarasinghe

Sandhya Samarasinghe is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Cellular and Molecular Neuroscience and Building and Construction, having authored 116 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (17 papers), Bioinformatics and Genomic Networks (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Wood Treatment and Properties (10 papers), Gene expression and cancer classification (8 papers), Agriculture Sustainability and Environmental Impact (7 papers), Milk Quality and Mastitis in Dairy Cows (6 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Environmental Engineering (360 citations), Building and Construction (189 citations), Analytical Chemistry (127 citations), Animal Science and Zoology (114 citations) and Artificial Intelligence (334 citations). Sandhya Samarasinghe has collaborated with scholars based in New Zealand, United States and Jordan. Frequent co-authors include Don Kulasiri, Majeed Safa, Subana Shanmuganathan, Kim N. Dirks, Jennifer Salmond, Naresh Singhal, Hong Ling, Zhibin Sun, J. Jago and Graham Strickert. Their work appears in journals such as Biosystems, Journal of Theoretical Biology, Silva Fennica, Energy and Journal of Food Engineering.

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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