Murali Haran

2.5k total citations
56 papers, 1.5k citations indexed

About

Murali Haran is a scholar working on Global and Planetary Change, Atmospheric Science and Statistics and Probability. According to data from OpenAlex, Murali Haran has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 13 papers in Statistics and Probability. Recurrent topics in Murali Haran's work include Climate variability and models (12 papers), Spatial and Panel Data Analysis (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Murali Haran is often cited by papers focused on Climate variability and models (12 papers), Spatial and Panel Data Analysis (9 papers) and Statistical Methods and Bayesian Inference (9 papers). Murali Haran collaborates with scholars based in United States, United Kingdom and South Korea. Murali Haran's co-authors include John Hughes, Brian Caffo, Galin L. Jones, Ronald C. Neath, Klaus Keller, Won Chang, Peter F. Craigmile, Tse‐Chuan Yang, P. J. Applegate and Martin P. Tingley and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

Murali Haran

54 papers receiving 1.4k citations

Peers

Murali Haran

GPC

Sujit K. Ghosh United States

R. Wilkinson United Kingdom

Montserrat Fuentes United States

Michela Cameletti Italy

Anders Brix United Kingdom

Cristiano Varin Italy

Sigrunn H. Sørbye Norway

David Cox United Kingdom

Jean D. Opsomer United States

Huiyan Sang United States

Sujit K. Ghosh United States

Murali Haran

553 ×1.4

GPC

384 ×1.0

763 ×2.3

344 ×1.3

379 ×1.6

Citations per year, relative to Murali Haran Murali Haran (= 1×) peers Sujit K. Ghosh

Countries citing papers authored by Murali Haran

Since Specialization

Citations

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

Fields of papers citing papers by Murali Haran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murali Haran

This figure shows the co-authorship network connecting the top 25 collaborators of Murali Haran. A scholar is included among the top collaborators of Murali Haran 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 Murali Haran. Murali Haran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hughes, John P., et al.. (2024). Fast Bayesian Inference for Spatial Mean-Parameterized Conway–Maxwell–Poisson Models. Journal of Computational and Graphical Statistics. 34(2). 697–706.

Lee, Ben Seiyon, et al.. (2023). Bayesian Spatial Models for Projecting Corn Yields. Remote Sensing. 16(1). 69–69. 1 indexed citations

Lee, Ben Seiyon, et al.. (2022). Flood hazard model calibration using multiresolution model output. Environmetrics. 34(2). 2 indexed citations

Nichols, James D., Tiffany L. Bogich, Emily Howerton, et al.. (2021). Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making. PLoS Biology. 19(6). e3001307–e3001307. 11 indexed citations

Graif, Corina, et al.. (2020). Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods. Journal of Quantitative Criminology. 37(2). 481–516. 21 indexed citations

Olson, Roman, et al.. (2019). Stilt: Easy Emulation of Time Series AR(1) Computer Model Output in Multidimensional Parameter Space. The R Journal. 10(2). 209–209. 2 indexed citations

Park, Jae‐Woo & Murali Haran. (2018). Bayesian Inference in the Presence of Intractable Normalizing Functions. Journal of the American Statistical Association. 113(523). 1372–1390. 33 indexed citations

Pollard, David, Won Chang, Murali Haran, P. J. Applegate, & Robert M. DeConto. (2016). Large ensemble modeling of the last deglacial retreat of the West Antarctic Ice Sheet: comparison of simple and advanced statistical techniques. Geoscientific model development. 9(5). 1697–1723. 71 indexed citations

Chang, Won, Murali Haran, P. J. Applegate, & David Pollard. (2015). Calibrating an ice sheet model using high-dimensional non-Gaussian spatial data. arXiv (Cornell University). 1 indexed citations

10.

Russell, James C., Ephraim M. Hanks, & Murali Haran. (2015). Dynamic Models of Animal Movement with Spatial Point Process Interactions. Journal of Agricultural Biological and Environmental Statistics. 21(1). 22–40. 18 indexed citations

11.

Chang, Won, P. J. Applegate, Murali Haran, & Klaus Keller. (2014). Probabilistic calibration of a Greenland Ice Sheet model using spatially resolved synthetic observations: toward projections of ice mass loss with uncertainties. Geoscientific model development. 7(5). 1933–1943. 19 indexed citations

12.

Jandarov, Roman, Murali Haran, Ottar N. Bjørnstad, & Bryan T. Grenfell. (2013). Emulating a Gravity Model to Infer the Spatiotemporal Dynamics of an Infectious Disease. Journal of the Royal Statistical Society Series C (Applied Statistics). 63(3). 423–444. 33 indexed citations

13.

Tibbits, M., et al.. (2013). Automated Factor Slice Sampling. Journal of Computational and Graphical Statistics. 23(2). 543–563. 28 indexed citations

14.

Hughes, John & Murali Haran. (2012). Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 75(1). 139–159. 220 indexed citations

15.

Yang, Tse‐Chuan, Leif Jensen, & Murali Haran. (2011). Social Capital and Human Mortality: Explaining the Rural Paradox with County‐Level Mortality Data. Rural Sociology. 76(3). 347–374. 57 indexed citations

16.

Haran, Murali & Nathan M. Urban. (2011). Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?. The Annals of Applied Statistics. 5(1). 1 indexed citations

17.

Tingley, Martin P., et al.. (2010). Piecing together the past: Statistical insights into paleoclimatic reconstructions. AGUFM. 2010. 6 indexed citations

18.

Haran, Murali & Klaus Keller. (2009). The skill of different ocean tracers in reducing uncertainties about projections of the Atlantic Meridional Overturning Circulation. AGU Fall Meeting Abstracts. 2009. 1 indexed citations

19.

Yang, Tse‐Chuan, et al.. (2009). The Impacts of Social Capital on Infant Mortality in the U.S.: A Spatial Investigation. Applied Spatial Analysis and Policy. 2(3). 211–227. 35 indexed citations

20.

Haran, Murali, et al.. (2007). Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks. IEEE Transactions on Software Engineering. 33(5). 287–304. 37 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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