Sandhya Samarasinghe

3.1k citations
129 papers · 2.4k · h-index 24

Impact in

Papers in

    • Gene Regulatory Network Analysis 20
    • Bioinformatics and Genomic Networks 13
    • Gene expression and cancer classification 9
    • DNA Repair Mechanisms 7
    • Neural Networks and Applications 8

Sandhya Samarasinghe

116 papers receiving 2.3k citations

Peers

Sandhya Samarasinghe
Comparison fields: 5 of 185
  • Environmental Engineering 374
  • Analytical Chemistry 157
  • Building and Construction 196
  • Animal Science and Zoology 135
  • Artificial Intelligence 402
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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 129 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
2006372
2 2011230
3 2016184
4 2014133
5 2011118
6 2006117
7 200562
8 201153
9
Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand
201551
10 200951
11 201043
12 200739
13 201235
14 200734
15 202334
16 201234
17 200932
18 200431
19 201528
20 200827

About Sandhya Samarasinghe

Sandhya Samarasinghe is a scholar working on Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience, Plant Science and Building and Construction, having authored 129 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (20 papers), Bioinformatics and Genomic Networks (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Wood Treatment and Properties (11 papers), Gene expression and cancer classification (9 papers), Neural Networks and Applications (8 papers), DNA Repair Mechanisms (7 papers) and Agriculture Sustainability and Environmental Impact (7 papers). The work is most often cited by research in Environmental Engineering (374 citations), Analytical Chemistry (157 citations), Building and Construction (196 citations), Animal Science and Zoology (135 citations) and Artificial Intelligence (402 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, Jennifer Salmond, Naresh Singhal, Kim N. Dirks, Hong Ling, R. Bickerstaffe, Graham Strickert and J. Jago. Their work appears in journals such as Biosystems, Journal of Theoretical Biology, Silva Fennica, Journal of Food Engineering and Energy.

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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