Kurex Sidik

1.6k citations
24 papers · 1.1k · h-index 11

Impact in

Papers in

Kurex Sidik

22 papers receiving 1.1k citations

Peers

Kurex Sidik
Comparison fields: 5 of 171
  • Statistics, Probability and Uncertainty 338
  • Statistics and Probability 315
  • Management Science and Operations Research 60
  • Experimental and Cognitive Psychology 63
  • Hepatology 37
Replace Ghada Abo-Zaid with:
Ghada Abo-Zaid United Kingdom
Philip Jarvis United Kingdom
Jeffrey N. Jonkman United States
Philip Pallmann United Kingdom
Mohammad F. Huque United States
Roy R. Kuebler United States
John D. Emerson United States
Spencer Phillips Hey United States
Eugenia Cronin United Kingdom
Laura E. Bothwell United States
Kurex Sidik relative to Ghada Abo-Zaid United Kingdom Ghada Abo-Zaid's profile →
Citations per field
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Ghada Abo-Zaid · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kurex Sidik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kurex Sidik Line = papers co-authored together Kurex Sidik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002272
2 2006254
3 2005184
4 200592
5 201776
6 200558
7 201857
8 200352
9 200222
10 200915
11 201810
12 201910
13 20129
14 20008
15 20036
16 20165
17 20154
18 20084
19 19994
20 20214

About Kurex Sidik

Kurex Sidik is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Statistics, Probability and Uncertainty and Epidemiology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (8 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Inference (3 papers), Economic and Environmental Valuation (3 papers), Liver physiology and pathology (2 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (338 citations), Statistics and Probability (315 citations), Management Science and Operations Research (60 citations), Experimental and Cognitive Psychology (63 citations) and Hepatology (37 citations). Kurex Sidik has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jeffrey N. Jonkman, Punit Marathe, Robert A. Langish, W. Griffith Humphreys, Weiqi Chen, Jinping Gan, Sandhya Mandlekar, Dieter M. Drexler, Hong Shen and Vinay K. Holenarsipur. Their work appears in journals such as Statistics in Medicine, Journal of Biopharmaceutical Statistics, Biometrical Journal, Scientific Reports and Computational Statistics & Data Analysis.

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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