T. Subba Rao

2.1k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

T. Subba Rao is a scholar working on Environmental Engineering, Pollution and Water Science and Technology. According to data from OpenAlex, T. Subba Rao has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Pollution and 4 papers in Water Science and Technology. Recurrent topics in T. Subba Rao's work include Radioactive element chemistry and processing (3 papers), Soil Geostatistics and Mapping (3 papers) and Microbial Community Ecology and Physiology (2 papers). T. Subba Rao is often cited by papers focused on Radioactive element chemistry and processing (3 papers), Soil Geostatistics and Mapping (3 papers) and Microbial Community Ecology and Physiology (2 papers). T. Subba Rao collaborates with scholars based in India, United Kingdom and Hungary. T. Subba Rao's co-authors include Sudhir K. Shukla, S.V. Narasimhan, V.P. Venugopalan, V. N. R. Rao, K Prashanth, György Terdik, Jingsong Yuan, M. Madhupratap, S. Rao Jammalamadaka and S.R.S. Nair and has published in prestigious journals such as Journal of Hazardous Materials, Chemosphere and RSC Advances.

In The Last Decade

T. Subba Rao

20 papers receiving 1.4k citations

Hit Papers

Statistics for Spatio‐Temporal Data 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Subba Rao India 10 365 341 270 211 194 20 1.4k
Paulo Justiniano Ribeiro Brazil 18 550 1.5× 271 0.8× 213 0.8× 268 1.3× 148 0.8× 68 1.9k
Timothy C. Haas United States 16 510 1.4× 267 0.8× 238 0.9× 193 0.9× 228 1.2× 37 1.2k
Clemens Tilke Germany 6 327 0.9× 194 0.6× 183 0.7× 110 0.5× 140 0.7× 7 996
Huiyan Sang United States 19 755 2.1× 528 1.5× 506 1.9× 231 1.1× 387 2.0× 54 2.1k
Murali Haran United States 21 168 0.5× 391 1.1× 259 1.0× 99 0.5× 235 1.2× 56 1.5k
Andrew Zammit‐Mangion Australia 15 351 1.0× 338 1.0× 168 0.6× 73 0.3× 223 1.1× 66 1.4k
Dale L. Zimmerman United States 28 973 2.7× 420 1.2× 654 2.4× 226 1.1× 374 1.9× 93 3.2k
Ronald P. Barry United States 20 274 0.8× 196 0.6× 961 3.6× 303 1.4× 245 1.3× 36 1.9k
Benedikt Gräler Germany 11 811 2.2× 775 2.3× 147 0.5× 366 1.7× 235 1.2× 24 2.1k
Sujit K. Ghosh United States 27 175 0.5× 553 1.6× 344 1.3× 92 0.4× 379 2.0× 159 2.6k

Countries citing papers authored by T. Subba Rao

Since Specialization
Citations

This map shows the geographic impact of T. Subba Rao'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 T. Subba Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Subba Rao more than expected).

Fields of papers citing papers by T. Subba Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Subba Rao. 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 T. Subba Rao. The network helps show where T. Subba Rao may publish in the future.

Co-authorship network of co-authors of T. Subba Rao

This figure shows the co-authorship network connecting the top 25 collaborators of T. Subba Rao. A scholar is included among the top collaborators of T. Subba Rao 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 T. Subba Rao. T. Subba Rao 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.
Rao, T. Subba, et al.. (2022). Exploring the effects of organic loading rate and domestic wastewater treatment by algal‐bacterial granules under natural daylight conditions. Water Environment Research. 95(1). e10831–e10831. 4 indexed citations
2.
Shukla, Sudhir K., et al.. (2019). Uranium bioremediation by acid phosphatase activity of Staphylococcus aureus biofilms: Can a foe turn a friend?. Journal of Hazardous Materials. 384. 121316–121316. 39 indexed citations
3.
Shukla, Sudhir K., et al.. (2019). Biosorption of Co-EDTA complex by Aspergillus versicolor SPF-1 strain isolated from solar salt pan. Journal of environmental chemical engineering. 8(2). 103549–103549. 2 indexed citations
4.
Rao, T. Subba & György Terdik. (2017). A New Covariance Function and Spatio‐Temporal Prediction (Kriging) for A Stationary Spatio‐Temporal Random Process. Journal of Time Series Analysis. 38(6). 936–959. 6 indexed citations
5.
Shukla, Sudhir K., et al.. (2016). Reduction of [Co(iii)–EDTA]complex by a novel process using phototrophic granules: a step towards sustainable bioremediation. RSC Advances. 6(49). 43656–43662. 3 indexed citations
6.
Shukla, Sudhir K., et al.. (2015). A spectrophotometric method for the determination Co-EDTA complexes. International Journal of Applied Sciences and Biotechnology. 3(4). 584–587. 5 indexed citations
7.
Shukla, Sudhir K., et al.. (2014). Microbial reduction of [Co(III)–EDTA]− by Bacillus licheniformis SPB-2 strain isolated from a solar salt pan. Journal of Hazardous Materials. 283. 582–590. 19 indexed citations
8.
Shukla, Sudhir K., et al.. (2013). Removal of toxic Co-EDTA complex by a halophilic solar-salt-pan isolate Pseudomonas aeruginosa SPB-1. Chemosphere. 95. 503–510. 19 indexed citations
9.
Rao, T. Subba. (2012). Statistics for Spatio‐Temporal Data. Journal of Time Series Analysis. 33(4). 699–700. 1156 indexed citations breakdown →
10.
Rao, T. Subba, et al.. (2010). Distribution of heavy metals in the vicinity of a nuclear power plant, east coast of India: with emphasis on copper concentration and primary productivity.. Indian Journal of Marine Sciences. 39(2). 182–191. 10 indexed citations
11.
Jammalamadaka, S. Rao, T. Subba Rao, & György Terdik. (2006). Higher order cumulants of random vectors and applications to statistical inference and time series. Research Explorer (The University of Manchester). 68(2). 326–356. 14 indexed citations
12.
Rao, T. Subba, et al.. (2005). Thermal mapping in the Kalpakkam Coast (Bay of Bengal) in the vicinity of Madras atomic power station. International Journal of Environmental Studies. 62(4). 473–485. 10 indexed citations
13.
Rao, T. Subba, et al.. (2005). Impact of thermal discharge from a tropical coastal power plant on phytoplankton. Journal of Thermal Biology. 30(4). 307–316. 93 indexed citations
14.
Yuan, Jingsong & T. Subba Rao. (1993). Higher order spectral estimation for random fields. Multidimensional Systems and Signal Processing. 4(1). 7–22. 6 indexed citations
15.
Yuan, Jingsong & T. Subba Rao. (1992). CLASSIFICATION OF TEXTURES USING SECOND‐ORDER SPECTRA. Journal of Time Series Analysis. 13(6). 547–562. 8 indexed citations
16.
Rao, T. Subba, et al.. (1981). Biochemical studies on some zooplankton off the west coast of India. Mahasagar. 14(4). 313–316. 8 indexed citations
17.
Achuthankutty, C.T., M. Madhupratap, Vijayalakshmi R Nair, S.R.S. Nair, & T. Subba Rao. (1980). Zooplankton biomass and composition in the western Bay of Bengal during late sw monsoon. 14 indexed citations
18.
Madhupratap, M. & T. Subba Rao. (1979). Tidal and diurnal influence on estuarine zooplankton. 5 indexed citations
19.
Sankaranarayanan, V.N., et al.. (1978). Concentration of some of the heavy metals in the Oyster, Crassostrea madrasensis (Preston), from the Cochin region. 9 indexed citations
20.
Madhupratap, M., T. Subba Rao, & Hari Iyer. (1977). A model for the prediction of zooplankton abundance in an estuary. 1 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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