K. Shuvo Bakar

633 total citations
36 papers, 368 citations indexed

About

K. Shuvo Bakar is a scholar working on Economics and Econometrics, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, K. Shuvo Bakar has authored 36 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 14 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in K. Shuvo Bakar's work include Soil Geostatistics and Mapping (9 papers), Spatial and Panel Data Analysis (7 papers) and Climate variability and models (6 papers). K. Shuvo Bakar is often cited by papers focused on Soil Geostatistics and Mapping (9 papers), Spatial and Panel Data Analysis (7 papers) and Climate variability and models (6 papers). K. Shuvo Bakar collaborates with scholars based in Australia, United States and United Kingdom. K. Shuvo Bakar's co-authors include Sujit K. Sahu, Huidong Jin, Philip Kokic, Jahidur Rahman Khan, Neville Nicholls, Steven Crimp, Mark Howden, Ming Li, Zvi Hochman and Charles Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

K. Shuvo Bakar

33 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Shuvo Bakar Australia 10 126 110 99 45 38 36 368
Lelys Bravo de Guenni Venezuela 14 271 2.2× 143 1.3× 46 0.5× 31 0.7× 12 0.3× 40 555
Carlos Díaz‐Ávalos Mexico 15 175 1.4× 84 0.8× 49 0.5× 8 0.2× 35 0.9× 47 589
Babak Mirbagheri Iran 12 137 1.1× 87 0.8× 52 0.5× 5 0.1× 36 0.9× 29 454
Fadhilah Yusof Malaysia 13 506 4.0× 94 0.9× 34 0.3× 14 0.3× 19 0.5× 78 776
Bo Ranneby Sweden 9 134 1.1× 60 0.5× 22 0.2× 167 3.7× 45 1.2× 23 490
Assane Gadiaga Belgium 5 143 1.1× 88 0.8× 45 0.5× 6 0.1× 30 0.8× 7 367
Yawen Guan United States 11 94 0.7× 105 1.0× 68 0.7× 44 1.0× 93 2.4× 27 339
J. L. Ping United States 9 105 0.8× 232 2.1× 43 0.4× 10 0.2× 5 0.1× 13 501
Marco Follador Italy 8 145 1.2× 56 0.5× 34 0.3× 3 0.1× 10 0.3× 11 316
Tajammal Hussain Pakistan 11 196 1.6× 83 0.8× 11 0.1× 5 0.1× 13 0.3× 23 449

Countries citing papers authored by K. Shuvo Bakar

Since Specialization
Citations

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

Fields of papers citing papers by K. Shuvo Bakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Shuvo Bakar. 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 K. Shuvo Bakar. The network helps show where K. Shuvo Bakar may publish in the future.

Co-authorship network of co-authors of K. Shuvo Bakar

This figure shows the co-authorship network connecting the top 25 collaborators of K. Shuvo Bakar. A scholar is included among the top collaborators of K. Shuvo Bakar 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 K. Shuvo Bakar. K. Shuvo Bakar 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.
Zhu, Lin, Armando Teixeira‐Pinto, K. Shuvo Bakar, et al.. (2025). Survival Benefits of Deceased Donor Kidney Transplant vs Waitlisting. JAMA Internal Medicine. 185(12). 1471–1471.
2.
Hart, Jane, Ross Bailie, Geoffrey Morgan, & K. Shuvo Bakar. (2025). The Paradigm of Disaster Exposure and All-Cause Hospital Admissions in Rural New South Wales, Australia. Natural Hazards Research. 1 indexed citations
3.
Sabanayagam, Dharshana, Pedro López, Katrina Chau, et al.. (2025). Association of Sex With All-Cause and Cause-Specific Peritoneal Dialysis Discontinuation. American Journal of Kidney Diseases. 86(4). 475–486.e1.
4.
McDonald, Ellen, Ross Bailie, Peter Radchenko, & K. Shuvo Bakar. (2025). Interlinkage between health workforce availability and socioeconomic status in rural and remote Australia. PLoS ONE. 20(4). e0321198–e0321198. 1 indexed citations
5.
Khan, Jahidur Rahman, Raghu Lingam, Louisa Owens, et al.. (2024). Social deprivation and spatial clustering of childhood asthma in Australia. Global Health Research and Policy. 9(1). 22–22. 5 indexed citations
6.
Bakar, K. Shuvo, et al.. (2024). Dynamic prediction of kidney allograft and patient survival using post-transplant estimated glomerular filtration rate trajectory. Clinical Kidney Journal. 17(11). sfae314–sfae314. 1 indexed citations
7.
Khan, Jahidur Rahman, et al.. (2023). Quantification of Urbanization Using Night-Time Light Intensity in Relation to Women’s Overnutrition in Bangladesh. Journal of Urban Health. 100(3). 562–571. 5 indexed citations
8.
Jin, Huidong, et al.. (2023). Downscaling long lead time daily rainfall ensemble forecasts through deep learning. Stochastic Environmental Research and Risk Assessment. 37(8). 3185–3203. 6 indexed citations
9.
Yadav, Alka, Sourish Das, K. Shuvo Bakar, & Anirban Chakraborti. (2023). Understanding the complex dynamics of climate change in south-west Australia using Machine Learning. Physica A Statistical Mechanics and its Applications. 627. 129139–129139. 3 indexed citations
10.
Aryal, Jagannath, et al.. (2023). Applying Bayesian Models to Reduce Computational Requirements of Wildfire Sensitivity Analyses. Atmosphere. 14(3). 559–559. 1 indexed citations
11.
Chakrabarti, Anindya S., K. Shuvo Bakar, & Anirban Chakraborti. (2023). Data Science for Complex Systems. Cambridge University Press eBooks. 2 indexed citations
12.
Miller, Charles & K. Shuvo Bakar. (2022). Conflict Events Worldwide Since 1468BC: Introducing the Historical Conflict Event Dataset. Journal of Conflict Resolution. 67(2-3). 522–554. 6 indexed citations
13.
Jin, Huidong, K. Shuvo Bakar, Brent Henderson, R. G. V. Bramley, & David Gobbett. (2021). An efficient geostatistical analysis tool for on-farm experiments targeted at localised treatment. Biosystems Engineering. 205. 121–136. 7 indexed citations
14.
Crimp, Steven, Huidong Jin, Philip Kokic, K. Shuvo Bakar, & Neville Nicholls. (2018). Possible future changes in South East Australian frost frequency: an inter-comparison of statistical downscaling approaches. Climate Dynamics. 52(1-2). 1247–1262. 13 indexed citations
15.
16.
Pepper, David A., Hania Lada, James R. Thomson, et al.. (2016). A method to identify drivers of societal change likely to affect natural assets in the future, illustrated with Australia's native biodiversity. The Science of The Total Environment. 581-582. 80–86. 2 indexed citations
17.
Pepper, David A., Hania Lada, James R. Thomson, et al.. (2016). Potential future scenarios for Australia's native biodiversity given on-going increases in human population. The Science of The Total Environment. 576. 381–390. 5 indexed citations
18.
Bakar, K. Shuvo, Philip Kokic, & Huidong Jin. (2015). A Spatiodynamic Model for Assessing Frost Risk in South-Eastern Australia. Journal of the Royal Statistical Society Series C (Applied Statistics). 64(5). 755–778. 13 indexed citations
19.
Crimp, Steven, K. Shuvo Bakar, Philip Kokic, et al.. (2014). Bayesian space–time model to analyse frost risk for agriculture in Southeast Australia. International Journal of Climatology. 35(8). 2092–2108. 58 indexed citations
20.
Sahu, Sujit K. & K. Shuvo Bakar. (2012). Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling. Applied Stochastic Models in Business and Industry. 28(5). 395–415. 35 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lelys Bravo de Guenni Breakdown of academic impact, for papers by Carlos Díaz‐Ávalos Breakdown of academic impact, for papers by Babak Mirbagheri Breakdown of academic impact, for papers by Fadhilah Yusof Breakdown of academic impact, for papers by Bo Ranneby Breakdown of academic impact, for papers by Assane Gadiaga Breakdown of academic impact, for papers by Yawen Guan Breakdown of academic impact, for papers by J. L. Ping Breakdown of academic impact, for papers by Marco Follador Breakdown of academic impact, for papers by Tajammal Hussain
Rankless by CCL
2026