Haresh Rochani

497 total citations
52 papers, 298 citations indexed

About

Haresh Rochani is a scholar working on Statistics and Probability, Clinical Psychology and Artificial Intelligence. According to data from OpenAlex, Haresh Rochani has authored 52 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 9 papers in Clinical Psychology and 8 papers in Artificial Intelligence. Recurrent topics in Haresh Rochani's work include Statistical Distribution Estimation and Applications (9 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Haresh Rochani is often cited by papers focused on Statistical Distribution Estimation and Applications (9 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Haresh Rochani collaborates with scholars based in United States, Jordan and Qatar. Haresh Rochani's co-authors include Hani M. Samawi, Jingjing Yin, Diane Donley, Kelly L. Sullivan, Li‐Ting Huang, Jian Zhang, Robert L. Vogel, Ellen Hamilton, Arpita Chatterjee and Yi Hao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and SLEEP.

In The Last Decade

Haresh Rochani

45 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haresh Rochani United States	10	78	63	46	28	28	52	298
Nicholas Tierney Australia	9	35 0.4×	41 0.7×	14 0.3×	16 0.6×	5 0.2×	16	263
Luis León‐Novelo United States	14	83 1.1×	48 0.8×	7 0.2×	19 0.7×	34 1.2×	47	492
Kristynn J. Sullivan United States	6	113 1.4×	59 0.9×	14 0.3×	34 1.2×	26 0.9×	7	534
Khachatur Sarkisian United States	11	27 0.3×	128 2.0×	5 0.1×	67 2.4×	9 0.3×	18	523
Deirdre Toher United Kingdom	14	21 0.3×	44 0.7×	4 0.1×	29 1.0×	43 1.5×	24	500
Elliott Nebenzahl United States	3	74 0.9×	11 0.2×	93 2.0×	35 1.3×	10 0.4×	7	293
Thomas Suesse Australia	11	63 0.8×	49 0.8×	6 0.1×	25 0.9×	2 0.1×	45	439
Denise A. Botter Brazil	13	186 2.4×	25 0.4×	33 0.7×	66 2.4×	104 3.7×	38	549
Amanda Bulette Coakley United States	11	9 0.1×	30 0.5×	80 1.7×	80 2.9×	28 1.0×	17	387

Countries citing papers authored by Haresh Rochani

Since Specialization

Citations

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

Fields of papers citing papers by Haresh Rochani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haresh Rochani

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

Castro, Pablo D. Jimenez, et al.. (2025). Investigation of risk factors associated with Ancylostoma spp. infection and the benzimidazole F167Y resistance marker polymorphism in dogs from the United States. International Journal for Parasitology Drugs and Drug Resistance. 27. 100584–100584. 2 indexed citations

Hansen, Andrew R., et al.. (2025). Women’s intention and factors associated with duration of use of Iron-folic acid supplement use in Karu, Nasarawa State, Nigeria: A cross-sectional study. BMC Pregnancy and Childbirth. 25(1). 499–499.

Rochani, Haresh, et al.. (2023). The Impact of Gloves and Occupational Tasks on Handgrip Strength in Structural Firefighters. International journal of exercise science. 16(4). 1087–1102. 2 indexed citations

Samawi, Hani M., et al.. (2022). On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance. Journal of Applied Statistics. 50(8). 1772–1789. 1 indexed citations

Wu, Ji, et al.. (2022). Hepatic proteomic assessment of oral ingestion of titanium dioxide nano fiber (TDNF) in Sprague Dawley rats. Journal of Environmental Science and Health Part A. 57(13-14). 1116–1123. 3 indexed citations

Yin, Jingjing, et al.. (2021). Post-Test Diagnostic Accuracy Measures of a Continuous Test With a Disease of Ordinal Multistages. Statistics in Biopharmaceutical Research. 14(4). 552–558. 3 indexed citations

Shah, Gulzar H., et al.. (2021). College Students' Experiences of Race-Related Bias or Hatred in Their Lifetimes and COVID-19 Era. Journal of Public Health Management and Practice. 27(3). 258–267. 5 indexed citations

Melton, Bridget F., et al.. (2021). Campus Recreation and Fitness Center Utilization During the COVID-19 Pandemic. SHILAP Revista de lepidopterología. 8(2). 3 indexed citations

Samawi, Hani M., Jingjing Yin, Xinyan Zhang, et al.. (2020). Applications of Kullback-Leibler Information as a Measure of Diagnostic Accuracy. 9(2). 1. 1 indexed citations

10.

Samawi, Hani M., Jingjing Yin, Xinyan Zhang, et al.. (2020). Kullback-Leibler Divergence for Medical Diagnostics Accuracy and Cut-point Selection Criterion: How it is related to the Youden Index. 2020(2). 1–10. 4 indexed citations

11.

Klibert, Jeffrey, et al.. (2019). The Impact of an Integrated Gratitude Intervention on Positive Affect and Coping Resources. International Journal of Applied Positive Psychology. 3(1-3). 23–41. 9 indexed citations

12.

Rochani, Haresh, et al.. (2019). Treatment Adherence in Youth with First-Episode Psychosis: Impact of Family Support and Telehealth Delivery. Issues in Mental Health Nursing. 40(11). 951–956. 13 indexed citations

13.

Samawi, Hani M., et al.. (2018). Reducing sample size needed for accelerated failure time model using more efficient sampling methods. Journal of Statistical Theory and Practice. 12(3). 530–541. 8 indexed citations

14.

Sevilimedu, Varadan, et al.. (2018). Georgia's Collaborative Approach to Expanding Mosquito Surveillance in Response to Zika Virus: Year Two.. PubMed. 14–21. 2 indexed citations

15.

Chang, Patrick, et al.. (2018). Analysis of Food Service Operation Risk Classification and Associated Food Safety Violation Frequency. Journal of environmental health. 80(6). 14–18. 2 indexed citations

16.

Samawi, Hani M., et al.. (2018). A Simpler Approach for Mediation Analysis Fordichotomous Mediators in Logistic Regression. Journal of Statistical Computation and Simulation. 1 indexed citations

17.

Peace, Karl E., et al.. (2018). A Serious Flaw in Nutrition Epidemiology: A Meta-Analysis Study. The International Journal of Biostatistics. 14(2). 7 indexed citations

18.

Rochani, Haresh, et al.. (2018). On inference of multivariate means under ranked set sampling. Communications for Statistical Applications and Methods. 25(1). 1–13. 1 indexed citations

19.

Samawi, Hani M., et al.. (2017). Notes on the overlap measure as an alternative to the Youden index: How are they related?. Statistics in Medicine. 36(26). 4230–4240. 16 indexed citations

20.

Samawi, Hani M., Arpita Chatterjee, Jingjing Yin, & Haresh Rochani. (2016). On Kernel Density Estimation Based on Different Stratified Sampling. 2 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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