Kurex Sidik

1.6k total citations
24 papers, 1.1k citations indexed

About

Kurex Sidik is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Kurex Sidik has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 3 papers in Economics and Econometrics. Recurrent topics in Kurex Sidik's work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Optimal Experimental Design Methods (8 papers). Kurex Sidik is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Optimal Experimental Design Methods (8 papers). Kurex Sidik collaborates with scholars based in United States, Canada and Germany. Kurex Sidik's co-authors include Jeffrey N. Jonkman, Jinping Gan, Dieter M. Drexler, Robert A. Langish, Hong Shen, Weiqi Chen, Vinay K. Holenarsipur, Yurong Lai, Sandhya Mandlekar and W. Griffith Humphreys and has published in prestigious journals such as Scientific Reports, Statistics in Medicine and Journal of Environmental Quality.

In The Last Decade

Kurex Sidik

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurex Sidik United States 11 338 315 126 124 99 24 1.1k
Ghada Abo-Zaid United Kingdom 7 299 0.9× 189 0.6× 141 1.1× 159 1.3× 158 1.6× 11 1.4k
Jeffrey N. Jonkman United States 12 335 1.0× 298 0.9× 194 1.5× 120 1.0× 90 0.9× 25 1.4k
Beate Wieseler Germany 20 297 0.9× 125 0.4× 489 3.9× 83 0.7× 63 0.6× 36 1.5k
Philip Jarvis United Kingdom 18 100 0.3× 247 0.8× 142 1.1× 91 0.7× 155 1.6× 30 1.6k
Christopher Bartlett United Kingdom 12 295 0.9× 86 0.3× 198 1.6× 130 1.0× 196 2.0× 25 1.4k
Mohammad F. Huque United States 16 89 0.3× 507 1.6× 232 1.8× 102 0.8× 68 0.7× 34 1.4k
Eugenia Cronin United Kingdom 4 494 1.5× 96 0.3× 242 1.9× 63 0.5× 68 0.7× 6 1.1k
Orestis A. Panagiotou United States 21 112 0.3× 59 0.2× 123 1.0× 152 1.2× 121 1.2× 65 1.5k
Philip Pallmann United Kingdom 16 119 0.4× 292 0.9× 164 1.3× 124 1.0× 57 0.6× 63 990
Chun Pang United Kingdom 14 298 0.9× 53 0.2× 127 1.0× 64 0.5× 107 1.1× 33 1.2k

Countries citing papers authored by Kurex Sidik

Since Specialization
Citations

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

Fields of papers citing papers by Kurex Sidik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurex Sidik

This figure shows the co-authorship network connecting the top 25 collaborators of Kurex Sidik. A scholar is included among the top collaborators of Kurex Sidik 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 Kurex Sidik. Kurex Sidik 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.
2.
Tang, Haiying, Daniel Kukral, Yu-Wen Li, et al.. (2018). Mapping the central effects of (±)-ketamine and traxoprodil using pharmacological magnetic resonance imaging in awake rats. Journal of Psychopharmacology. 32(2). 146–155. 10 indexed citations
3.
Luo, Yi, Abdul M. Oseini, Isabelle Gagnon, et al.. (2018). An Evaluation of the Collagen Fragments Related to Fibrogenesis and Fibrolysis in Nonalcoholic Steatohepatitis. Scientific Reports. 8(1). 12414–12414. 57 indexed citations
4.
Shen, Hong, Weiqi Chen, Dieter M. Drexler, et al.. (2017). Comparative Evaluation of Plasma Bile Acids, Dehydroepiandrosterone Sulfate, Hexadecanedioate, and Tetradecanedioate with Coproporphyrins I and III as Markers of OATP Inhibition in Healthy Subjects. Drug Metabolism and Disposition. 45(8). 908–919. 76 indexed citations
5.
Sidik, Kurex, et al.. (2016). Novel platens to measure the hardness of a pentagonal shaped tablet. Pharmaceutical Development and Technology. 22(2). 246–255.
6.
Sidik, Kurex & Jeffrey N. Jonkman. (2016). A comparison of the variance estimation methods for heteroscedastic nonlinear models. Statistics in Medicine. 35(26). 4856–4874. 5 indexed citations
7.
Sidik, Kurex & Jeffrey N. Jonkman. (2015). Testing for parallelism in the heteroscedastic four-parameter logistic model. Journal of Biopharmaceutical Statistics. 26(2). 250–268. 4 indexed citations
8.
Staten, Nicholas R., Eric A. Welsh, Kurex Sidik, et al.. (2012). Multiplex transcriptional analysis of paraffin-embedded liver needle biopsy from patients with liver fibrosis. PubMed. 5(1). 21–21. 9 indexed citations
9.
Sidik, Kurex & Jeffrey N. Jonkman. (2008). Estimation using non-central hypergeometric distributions in combining tables. Journal of Statistical Planning and Inference. 138(12). 3993–4005. 4 indexed citations
10.
Sidik, Kurex & Jeffrey N. Jonkman. (2006). A comparison of heterogeneity variance estimators in combining results of studies. Statistics in Medicine. 26(9). 1964–1981. 254 indexed citations
11.
Sidik, Kurex & Jeffrey N. Jonkman. (2005). Robust variance estimation for random effects meta-analysis. Computational Statistics & Data Analysis. 50(12). 3681–3701. 92 indexed citations
12.
Sidik, Kurex & Jeffrey N. Jonkman. (2005). Simple Heterogeneity Variance Estimation for Meta-Analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 54(2). 367–384. 184 indexed citations
13.
Sidik, Kurex & Jeffrey N. Jonkman. (2003). Authors' reply. Statistics in Medicine. 23(1). 159–162. 6 indexed citations
14.
Sidik, Kurex & Jeffrey N. Jonkman. (2003). Sample size determination in fixed‐dose combination drug studies. Pharmaceutical Statistics. 2(4). 273–278. 2 indexed citations
15.
Sidik, Kurex & Jeffrey N. Jonkman. (2003). On Constructing Confidence Intervals for a Standardized Mean Difference in Meta-analysis. Communications in Statistics - Simulation and Computation. 32(4). 1191–1203. 52 indexed citations
16.
Sidik, Kurex. (2002). Exact unconditional tests for testing non‐inferiority in matched‐pairs design. Statistics in Medicine. 22(2). 265–278. 22 indexed citations
17.
Sidik, Kurex & Jeffrey N. Jonkman. (2002). A simple confidence interval for meta‐analysis. Statistics in Medicine. 21(21). 3153–3159. 272 indexed citations
18.
Sidik, Kurex. (2001). Dose Response Analysis Using Robust Covariance Estimation. Biometrical Journal. 43(1). 63–74. 1 indexed citations
19.
Hellkamp, Anne S., C. Lee Campbell, Daniel A. Fiscus, et al.. (2000). Assessment of the Condition of Agricultural Lands in Six Mid‐Atlantic States. Journal of Environmental Quality. 29(3). 795–804. 8 indexed citations
20.
Sidik, Kurex & Richard Morris. (1999). NONPARAMETRIC STEP-DOWN TEST PROCEDURES FOR FINDING MINIMUM EFFECTIVE DOSE. Journal of Biopharmaceutical Statistics. 9(2). 217–240. 4 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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