Soma S. Dhavala

550 total citations
15 papers, 385 citations indexed

About

Soma S. Dhavala is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Statistics and Probability. According to data from OpenAlex, Soma S. Dhavala has authored 15 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Safety, Risk, Reliability and Quality and 4 papers in Statistics and Probability. Recurrent topics in Soma S. Dhavala's work include Traffic and Road Safety (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Distribution Estimation and Applications (3 papers). Soma S. Dhavala is often cited by papers focused on Traffic and Road Safety (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Distribution Estimation and Applications (3 papers). Soma S. Dhavala collaborates with scholars based in United States, India and Mexico. Soma S. Dhavala's co-authors include Srinivas Reddy Geedipally, Dominique Lord, Mohammadali Shirazi, Sarah LaRocca, Royce A. Francis, Seth D. Guikema, Sangeeta Khare, L. Garry Adams, Sara D. Lawhon and Manuela Raffatellu and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Infection and Immunity.

In The Last Decade

Soma S. Dhavala

13 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soma S. Dhavala United States	9	222	78	74	62	60	15	385
Do‐Gyeong Kim South Korea	9	398 1.8×	331 4.2×	210 2.8×	14 0.2×	53 0.9×	42	667
Xianghai Meng China	14	576 2.6×	214 2.7×	194 2.6×	52 0.8×	66 1.1×	26	713
Xiaoyan Huo China	8	330 1.5×	180 2.3×	81 1.1×	2 0.0×	51 0.8×	16	383
Abhishek Das India	10	303 1.4×	108 1.4×	191 2.6×	3 0.0×	59 1.0×	40	472
Frank Montgomery United Kingdom	9	85 0.4×	177 2.3×	164 2.2×	5 0.1×	26 0.4×	28	450
Helai Huang China	10	583 2.6×	394 5.1×	226 3.1×	12 0.2×	95 1.6×	13	727
Xiaomeng Wang China	10	83 0.4×	30 0.4×	55 0.7×	8 0.1×	37 0.6×	41	304
Hanchu Zhou China	13	525 2.4×	317 4.1×	145 2.0×	6 0.1×	41 0.7×	40	719
Kenneth S Opiela United States	11	156 0.7×	89 1.1×	45 0.6×	4 0.1×	119 2.0×	58	347
Juan C. Medina United States	13	167 0.8×	83 1.1×	118 1.6×	1 0.0×	42 0.7×	56	511

Countries citing papers authored by Soma S. Dhavala

Since Specialization

Citations

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

Fields of papers citing papers by Soma S. Dhavala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soma S. Dhavala. 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 Soma S. Dhavala. The network helps show where Soma S. Dhavala may publish in the future.

Co-authorship network of co-authors of Soma S. Dhavala

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

All Works

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15 of 15 papers shown

Dhavala, Soma S.. (2024). Auto generation of diagnostic assessments and their quality evaluation. Educational Data Mining.

Saha, Snehanshu, et al.. (2024). quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. IEEE Transactions on Artificial Intelligence. 5(8). 3939–3950. 3 indexed citations

Tiwari, Avtansh, Soma S. Dhavala, Siddhant Shingi, et al.. (2024). Automatic Interpretation of Line Probe Assay Test for Tuberculosis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 21897–21904.

Saha, Snehanshu, et al.. (2021). LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3553–3563. 1 indexed citations

Dhavala, Soma S., et al.. (2021). A Deep Learning framework for Interoperable Machine Learning. 1–7. 4 indexed citations

Saha, Snehanshu, et al.. (2020). AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence. arXiv (Cornell University). 16 indexed citations

Shirazi, Mohammadali, Soma S. Dhavala, Dominique Lord, & Srinivas Reddy Geedipally. (2017). A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB). Accident Analysis & Prevention. 107. 186–194. 21 indexed citations

Shirazi, Mohammadali, Dominique Lord, Soma S. Dhavala, & Srinivas Reddy Geedipally. (2016). A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data. Accident Analysis & Prevention. 91. 10–18. 49 indexed citations

Bingham, Derek, Soma S. Dhavala, Carolyn Kuranz, et al.. (2016). Emulation of Numerical Models With Over-Specified Basis Functions. Technometrics. 59(2). 153–164. 3 indexed citations

10.

Konomi, Bledar A., Soma S. Dhavala, Jianhua Z. Huang, et al.. (2013). Bayesian object classification of gold nanoparticles. The Annals of Applied Statistics. 7(2). 13 indexed citations

11.

Geedipally, Srinivas Reddy, Dominique Lord, & Soma S. Dhavala. (2013). A caution about using deviance information criterion while modeling traffic crashes. Safety Science. 62. 495–498. 34 indexed citations

12.

Geedipally, Srinivas Reddy, Dominique Lord, & Soma S. Dhavala. (2011). The negative binomial-Lindley generalized linear model: Characteristics and application using crash data. Accident Analysis & Prevention. 45. 258–265. 131 indexed citations

13.

Francis, Royce A., Srinivas Reddy Geedipally, Seth D. Guikema, et al.. (2011). Characterizing the Performance of the Conway‐Maxwell Poisson Generalized Linear Model. Risk Analysis. 32(1). 167–183. 51 indexed citations

14.

Dhavala, Soma S., Sujay Datta, Bani K. Mallick, et al.. (2010). Bayesian Modeling of MPSS Data: Gene Expression Analysis of BovineSalmonellaInfection. Journal of the American Statistical Association. 105(491). 956–967. 11 indexed citations

15.

Tran, Quynh T., Gabriel Gomez, Sangeeta Khare, et al.. (2009). TheSalmonella entericaSerotype Typhi Vi Capsular Antigen Is Expressed after the Bacterium Enters the Ileal Mucosa. Infection and Immunity. 78(1). 527–535. 48 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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