Daniel Niruban Subramaniam

786 total citations · 1 hit paper
54 papers, 555 citations indexed

About

Daniel Niruban Subramaniam is a scholar working on Environmental Engineering, Civil and Structural Engineering and Pollution. According to data from OpenAlex, Daniel Niruban Subramaniam has authored 54 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Environmental Engineering, 37 papers in Civil and Structural Engineering and 21 papers in Pollution. Recurrent topics in Daniel Niruban Subramaniam's work include Urban Stormwater Management Solutions (45 papers), Infrastructure Maintenance and Monitoring (25 papers) and Smart Materials for Construction (20 papers). Daniel Niruban Subramaniam is often cited by papers focused on Urban Stormwater Management Solutions (45 papers), Infrastructure Maintenance and Monitoring (25 papers) and Smart Materials for Construction (20 papers). Daniel Niruban Subramaniam collaborates with scholars based in Sri Lanka, Australia and United States. Daniel Niruban Subramaniam's co-authors include Navaratnarajah Sathiparan, Arulanantham Anburuvel, Peter B. Mather, Jay Rajapakse, Shane C. Russell, Prasanna Egodawatta, Chaminda Gallage and R. Valluvan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Environmental Management.

In The Last Decade

Daniel Niruban Subramaniam

50 papers receiving 540 citations

Hit Papers

Optimizing fly ash and rice husk ash as cement replacemen... 2025 2026 2025 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete
    2025 37 citations Navaratnarajah Sathiparan, Daniel Niruban Subramaniam SHILAP Revista de lepidopterología profile →

Peers

Daniel Niruban Subramaniam
Valerio C. Andrés‐Valeri Spain
Peiman Kianmehr United Arab Emirates
Omkar Deo United States
Milani S. Sumanasooriya United States
Anush K. Chandrappa India
Berenice Martins Toralles Brazil
Luis Á. Sañudo-Fontaneda Spain
X. Kuang United States
Dang Hanh Nguyen France
Gersson F.B. Sandoval Brazil
Valerio C. Andrés‐Valeri Spain
Daniel Niruban Subramaniam
Citations per year, relative to Daniel Niruban Subramaniam Daniel Niruban Subramaniam (= 1×) peers Valerio C. Andrés‐Valeri

Countries citing papers authored by Daniel Niruban Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Niruban Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Niruban Subramaniam. 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 Daniel Niruban Subramaniam. The network helps show where Daniel Niruban Subramaniam may publish in the future.

Co-authorship network of co-authors of Daniel Niruban Subramaniam

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Niruban Subramaniam. A scholar is included among the top collaborators of Daniel Niruban Subramaniam 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 Daniel Niruban Subramaniam. Daniel Niruban Subramaniam 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.
Sathiparan, Navaratnarajah & Daniel Niruban Subramaniam. (2025). Predictive modeling of compressive strength in glass powder blended pervious concrete. Asian Journal of Civil Engineering. 26(4). 1449–1464.
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Sathiparan, Navaratnarajah & Daniel Niruban Subramaniam. (2025). Optimizing fly ash and rice husk ash as cement replacements on the mechani-cal characteristics of pervious concrete. SHILAP Revista de lepidopterología. 5(1). 37 indexed citations breakdown →
4.
Sathiparan, Navaratnarajah, et al.. (2025). Prediction of characteristics of pervious concrete by machine learning technique using mix parameters and non-destructive test measurements. Nondestructive Testing And Evaluation. 41(1). 314–363. 1 indexed citations
5.
Subramaniam, Daniel Niruban. (2025). Investigation of the compactability of pervious concrete and its impact on porosity and compressive strength. International Journal of Pavement Engineering. 26(1). 2 indexed citations
6.
Sathiparan, Navaratnarajah, et al.. (2025). A machine learning approach to predicting pervious concrete properties: a review. Innovative Infrastructure Solutions. 10(2). 6 indexed citations
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Sathiparan, Navaratnarajah, et al.. (2025). Optimizing compressive strength prediction of pervious concrete using artificial neural network. Engineering Research Express. 7(1). 15418–15418. 3 indexed citations
9.
Subramaniam, Daniel Niruban, et al.. (2025). Boosted Forest Model for Aggregate Size and Shape Impact on Porosity and Compressive Strength of Pervious Concrete. International Journal of Pavement Research and Technology.
10.
Sathiparan, Navaratnarajah, et al.. (2025). Investigation of impact of aggregate shape on pervious concrete using machine learning classification methods. Engineering Applications of Artificial Intelligence. 143. 110008–110008. 3 indexed citations
11.
Valluvan, R., et al.. (2024). Investigation on the effectiveness of fourier shape analysis in classifying milled aggregates. Construction and Building Materials. 458. 139504–139504. 1 indexed citations
12.
Sathiparan, Navaratnarajah & Daniel Niruban Subramaniam. (2024). Potential use of crushed waste glass and glass powder in sustainable pervious concrete: A review. Cleaner Waste Systems. 9. 100191–100191. 8 indexed citations
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Subramaniam, Daniel Niruban, et al.. (2024). Investigation and prediction of impact of aggregate size and shape on porosity and compressive strength of pervious concrete. International Journal of Pavement Engineering. 25(1). 3 indexed citations
15.
Sathiparan, Navaratnarajah, et al.. (2024). Utilization of supplementary cementitious materials in pervious concrete: a review. International Journal of Environmental Science and Technology. 21(6). 5883–5918. 24 indexed citations
16.
Sathiparan, Navaratnarajah, et al.. (2024). Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters. Road Materials and Pavement Design. 26(3). 618–657. 3 indexed citations
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Subramaniam, Daniel Niruban, et al.. (2021). Hydraulic properties of stormwater biofilters during dry phase. Urban Water Journal. 18(5). 334–341. 3 indexed citations
19.
Subramaniam, Daniel Niruban, Prasanna Egodawatta, Peter B. Mather, & Jay Rajapakse. (2014). Stabilization of experimental bioretention basins during intermittent wetting and drying. Science & Engineering Faculty. 2 indexed citations
20.
Subramaniam, Daniel Niruban, Prasanna Egodawatta, Chaminda Gallage, Peter B. Mather, & Jay Rajapakse. (2014). Significance of Drying Periods on Nitrate Removal in Experimental Biofilters. Journal of Water Management Modeling. 8 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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