Sneh Gulati

597 total citations
28 papers, 428 citations indexed

About

Sneh Gulati is a scholar working on Statistics and Probability, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Sneh Gulati has authored 28 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 9 papers in Atmospheric Science and 7 papers in Global and Planetary Change. Recurrent topics in Sneh Gulati's work include Statistical Distribution Estimation and Applications (11 papers), Tropical and Extratropical Cyclones Research (8 papers) and Statistical Methods and Inference (7 papers). Sneh Gulati is often cited by papers focused on Statistical Distribution Estimation and Applications (11 papers), Tropical and Extratropical Cyclones Research (8 papers) and Statistical Methods and Inference (7 papers). Sneh Gulati collaborates with scholars based in United States, Portugal and Thailand. Sneh Gulati's co-authors include W. J. Padgett, Shahid Hamid, Mark D. Powell, Neal Dorst, B. M. Golam Kibria, Shu‐Ching Chen, Jean‐Paul Pinelli, Bachir Annane, Kurtis R. Gurley and Samuel S. Shapiro and has published in prestigious journals such as Natural Hazards, Journal of Wind Engineering and Industrial Aerodynamics and Journal of Quality Technology.

In The Last Decade

Sneh Gulati

26 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sneh Gulati United States	8	232	144	144	100	91	28	428
P. de Zea Bermudez Portugal	10	48 0.2×	115 0.8×	207 1.4×	64 0.6×	48 0.5×	21	457
Sebastian Engelke Switzerland	14	137 0.6×	100 0.7×	272 1.9×	22 0.2×	54 0.6×	34	523
Clément Chevalier Switzerland	11	241 1.0×	16 0.1×	326 2.3×	90 0.9×	36 0.4×	19	574
Jennifer L. Wadsworth United Kingdom	14	65 0.3×	131 0.9×	321 2.2×	15 0.1×	112 1.2×	24	565
Jan Picek Czechia	13	137 0.6×	135 0.9×	259 1.8×	43 0.4×	23 0.3×	36	501
H. Joseph Newton United States	11	64 0.3×	83 0.6×	44 0.3×	15 0.1×	66 0.7×	43	377
Nader Tajvidi United States	8	53 0.2×	132 0.9×	230 1.6×	18 0.2×	54 0.6×	16	499
S. M. Burroughs United States	11	61 0.3×	28 0.2×	63 0.4×	15 0.1×	28 0.3×	17	377
Plamen Neytchev Bulgaria	11	51 0.2×	122 0.8×	89 0.6×	36 0.4×	22 0.2×	15	282
Seyed Mahdi Amir Jahanshahi Iran	12	46 0.2×	287 2.0×	108 0.8×	172 1.7×	21 0.2×	27	402

Countries citing papers authored by Sneh Gulati

Since Specialization

Citations

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

Fields of papers citing papers by Sneh Gulati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sneh Gulati

This figure shows the co-authorship network connecting the top 25 collaborators of Sneh Gulati. A scholar is included among the top collaborators of Sneh Gulati 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 Sneh Gulati. Sneh Gulati 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

Gulati, Sneh & Charles R. Sampson. (2021). Economic value of tropical cyclone conditions of readiness. Natural Hazards. 108(2). 1687–1700. 1 indexed citations

Gulati, Sneh, et al.. (2017). Distribution fits for various parameters in the Florida Public Hurricane Loss model. Journal of Modern Applied Statistical Methods. 16(1). 481–497. 2 indexed citations

Kitsos, Christos P., Teresa Oliveira, A. Rigas, & Sneh Gulati. (2015). Theory and Practice of Risk Assessment. Springer proceedings in mathematics & statistics. 7 indexed citations

Gulati, Sneh, Florence George, Fan Yang, B. M. Golam Kibria, & Shahid Hamid. (2014). Estimating Extreme Losses for the Florida Public Hurricane Model. 5(4). 247–247. 4 indexed citations

Gulati, Sneh. (2011). Goodness of Fit test for the Rayleigh and the Laplace Distributions. International Journal of Applied Mathematics & Statistics. 24. 74–85. 3 indexed citations

Hamid, Shahid, B. M. Golam Kibria, Sneh Gulati, et al.. (2010). Authors’ responses to the discussion on “Predicting losses of residential structures in the state of Florida by the Public Hurricane Loss Evaluation Model”. Statistical Methodology. 7(5). 596–600.

Gulati, Sneh & Samuel S. Shapiro. (2009). A New Goodness of Fit Test for the Logistic Distribution. Journal of Statistical Theory and Practice. 3(3). 567–576. 3 indexed citations

Gulati, Sneh & Jie Mi. (2006). Testing for scale families using total variation distance. Journal of Statistical Computation and Simulation. 76(9). 773–792. 2 indexed citations

Powell, Mark D., et al.. (2005). State of Florida hurricane loss projection model: Atmospheric science component. Journal of Wind Engineering and Industrial Aerodynamics. 93(8). 651–674. 160 indexed citations

10.

Chen, Shu‐Ching, Shahid Hamid, Sneh Gulati, et al.. (2004). A reliable Web-based system for hurricane analysis and simulation. 75. 5215–5220 vol.6. 5 indexed citations

11.

Gulati, Sneh. (2004). Smooth non‐parametric estimation of the distribution function from balanced ranked set samples. Environmetrics. 15(5). 529–539. 8 indexed citations

12.

Chen, Shu‐Ching, Shahid Hamid, Sneh Gulati, et al.. (2004). Information reuse and system integration in the development of a hurricane simulation system. 535–542. 1 indexed citations

13.

Chen, Shu‐Ching, Sneh Gulati, Shahid Hamid, et al.. (2004). A Web‐based distributed system for hurricane occurrence projection. Software Practice and Experience. 34(6). 549–571. 15 indexed citations

14.

Gulati, Sneh & W. J. Padgett. (2003). Parametric and Nonparametric Inference from Record-Breaking Data. Lecture notes in statistics. 50 indexed citations

15.

Berger, Michael & Sneh Gulati. (2001). Record-breaking data: a parametric comparison of the inverse-sampling and the random-sampling schemes. Journal of Statistical Computation and Simulation. 69(3). 225–238. 2 indexed citations

16.

Shapiro, Samuel S. & Sneh Gulati. (1996). Selecting Failure Monitoring Times for an Exponential Life Distribution. Journal of Quality Technology. 28(4). 429–438. 6 indexed citations

17.

Gulati, Sneh & W. J. Padgett. (1996). Families of smooth confidence bands for the survival function under the general random censorship model. Lifetime Data Analysis. 2(4). 349–362. 7 indexed citations

18.

Gulati, Sneh & W. J. Padgett. (1995). Nonparametric function estimation from inversely sampled record‐breaking data. Canadian Journal of Statistics. 23(4). 359–368. 21 indexed citations

19.

Gulati, Sneh & W. J. Padgett. (1994). Smooth nonparametric estimation of thedistribution and density functions from record-breaking data. Communication in Statistics- Theory and Methods. 23(5). 1259–1274. 29 indexed citations

20.

Gulati, Sneh & W. J. Padgett. (1994). NONPARAMETRIC QUANTILE ESTIMATION FROM RECORD‐BREAKING DATA. Australian Journal of Statistics. 36(2). 211–223. 7 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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