Krish Ramalingam

478 total citations
25 papers, 400 citations indexed

About

Krish Ramalingam is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Krish Ramalingam has authored 25 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 6 papers in Industrial and Manufacturing Engineering and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Krish Ramalingam's work include Wastewater Treatment and Nitrogen Removal (13 papers), Water Treatment and Disinfection (6 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Krish Ramalingam is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (13 papers), Water Treatment and Disinfection (6 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Krish Ramalingam collaborates with scholars based in United States, Cyprus and India. Krish Ramalingam's co-authors include John Fillos, Alex Rosenthal, Kartik Chandran, Hongkeun Park, John A. McCorquodale, Karthik Rajendran, Xin Xu, Giacomo de Falco, Ragnar Warnecke and Hansong Tang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Krish Ramalingam

24 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Krish Ramalingam United States 9 260 137 111 84 65 25 400
Mehran Andalib Canada 11 306 1.2× 127 0.9× 64 0.6× 62 0.7× 49 0.8× 26 446
Daehee Choi South Korea 12 324 1.2× 125 0.9× 99 0.9× 125 1.5× 68 1.0× 40 411
Zheng Gong China 7 303 1.2× 179 1.3× 159 1.4× 89 1.1× 48 0.7× 8 517
Ruili Yang China 13 254 1.0× 112 0.8× 94 0.8× 78 0.9× 87 1.3× 25 490
Wei-Min Ni China 11 386 1.5× 191 1.4× 145 1.3× 159 1.9× 50 0.8× 13 502
C. Picioreanu Netherlands 8 186 0.7× 72 0.5× 77 0.7× 45 0.5× 25 0.4× 11 337
Jiehui Ren China 11 319 1.2× 92 0.7× 57 0.5× 102 1.2× 49 0.8× 39 405
Anhui Hu China 11 305 1.2× 92 0.7× 118 1.1× 101 1.2× 80 1.2× 19 504
I. Zekker Estonia 11 445 1.7× 152 1.1× 152 1.4× 152 1.8× 66 1.0× 22 592
Kazuaki Hibiya Japan 6 390 1.5× 201 1.5× 178 1.6× 126 1.5× 41 0.6× 8 485

Countries citing papers authored by Krish Ramalingam

Since Specialization
Citations

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

Fields of papers citing papers by Krish Ramalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krish Ramalingam

This figure shows the co-authorship network connecting the top 25 collaborators of Krish Ramalingam. A scholar is included among the top collaborators of Krish Ramalingam 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 Krish Ramalingam. Krish Ramalingam 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.
2.
Falco, Giacomo de, Fabrizio Sabba, Krish Ramalingam, & John Fillos. (2025). Biofiltration for odor mitigation in water resource recovery facilities. The Science of The Total Environment. 964. 178593–178593. 1 indexed citations
3.
Rosenthal, Alex, et al.. (2024). Evaluation of aircraft deicing fluid as an external carbon source for denitrification. The Science of The Total Environment. 925. 171795–171795. 3 indexed citations
4.
Chandran, Kartik, et al.. (2016). Biofilm Population Diversity and Distribution in an Anammox MBBR Pilot. Proceedings of the Water Environment Federation. 2016(11). 3514–3525. 1 indexed citations
5.
Rajendran, Karthik, et al.. (2015). Effective removal of Methylene Blue dye from water using three different low-cost adsorbents. Desalination and Water Treatment. 57(23). 10626–10631. 48 indexed citations
6.
Ramalingam, Krish, et al.. (2014). Numerical Investigation On Flow Generated by Invent Mixer In Full-Scale Wastewater Stirred Tank. Engineering Applications of Computational Fluid Mechanics. 8(4). 503–517. 2 indexed citations
7.
8.
Ramalingam, Krish, et al.. (2013). Implementation of CFD modeling in the performance assessment and optimization of secondary clarifiers: the PVSC case study. Water Science & Technology. 68(9). 1901–1913. 14 indexed citations
9.
Ramalingam, Krish, et al.. (2013). Startup and Process Performance Analysis of a Pilot Anammox MBBR Process at the 26<SUP>th</SUP> Ward WWTP in Brooklyn, New York using Microbial Techniques. Proceedings of the Water Environment Federation. 2013(4). 31–46. 2 indexed citations
10.
Ramalingam, Krish, et al.. (2012). Critical modeling parameters identified for 3D CFD modeling of rectangular final settling tanks for New York City wastewater treatment plants. Water Science & Technology. 65(6). 1087–1094. 19 indexed citations
11.
Xu, Xin, John Fillos, Krish Ramalingam, & Alex Rosenthal. (2012). Quantitative analysis of methanol in wastewater by GC-MS with direct injection or headspace SPME sample introduction. Analytical Methods. 4(11). 3688–3688. 11 indexed citations
12.
Ramalingam, Krish, et al.. (2011). Development of a flocculation sub-model for a 3-D CFD model based on rectangular settling tanks. Water Science & Technology. 63(2). 213–219. 22 indexed citations
13.
Park, Hongkeun, et al.. (2010). Impact of inocula and growth mode on the molecular microbial ecology of anaerobic ammonia oxidation (anammox) bioreactor communities. Water Research. 44(17). 5005–5013. 96 indexed citations
14.
Park, Hongkeun, Alex Rosenthal, Krish Ramalingam, John Fillos, & Kartik Chandran. (2010). Linking Community Profiles, Gene Expression and N-Removal in Anammox Bioreactors Treating Municipal Anaerobic Digestion Reject Water. Environmental Science & Technology. 44(16). 6110–6116. 106 indexed citations
15.
Ramalingam, Krish, et al.. (2010). Performance Assessment of Secondary Settling Tanks Using CFD Modeling. Water Resources Management. 25(4). 1169–1182. 34 indexed citations
16.
17.
Fillos, John, et al.. (2009). The Fine Line Between Thorough Mixing and Energy Consumption. Proceedings of the Water Environment Federation. 2009(4). 286–314. 3 indexed citations
18.
Ramalingam, Krish, et al.. (2008). Investigating the Effect of Baffles on the Performance of Rectangular (Gould II Type) Settling Tanks Using a 3-D CFD Model. Proceedings of the Water Environment Federation. 2008(13). 3297–3307. 4 indexed citations
19.
Fillos, John, et al.. (2007). SPECIFIC DENITRIFICATION RATES WITH ETHANOL AND METHANOL AS SOURCES OF ORGANIC CARBON. Proceedings of the Water Environment Federation. 2007(2). 251–279. 4 indexed citations
20.
Fillos, John, et al.. (2004). DISINFECTION PERFORMANCE OF CHLORINE CONTACT TANKS IN NEW YORK CITY WATER POLLUTION CONTROL PLANTS (WPCPs).. Proceedings of the Water Environment Federation. 2004(13). 588–600.

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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