Alula Hadgu

1.2k total citations
29 papers, 872 citations indexed

About

Alula Hadgu is a scholar working on Statistics and Probability, Epidemiology and Microbiology. According to data from OpenAlex, Alula Hadgu has authored 29 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 7 papers in Epidemiology and 7 papers in Microbiology. Recurrent topics in Alula Hadgu's work include Statistical Methods and Bayesian Inference (11 papers), Reproductive tract infections research (7 papers) and Statistical Methods in Clinical Trials (7 papers). Alula Hadgu is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Reproductive tract infections research (7 papers) and Statistical Methods in Clinical Trials (7 papers). Alula Hadgu collaborates with scholars based in United States, Kenya and Uganda. Alula Hadgu's co-authors include Yinsheng Qu, Nandini Dendukuri, Philip J. Smith, Liangliang Wang, Maya Sternberg, L Weström, Camilla A. Brooks, Sumner E. Thompson, Gladys H. Reynolds and Gary G. Koch and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and American Journal of Public Health.

In The Last Decade

Alula Hadgu

29 papers receiving 833 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alula Hadgu United States 15 272 249 205 113 98 29 872
J. D. F. Habbema Netherlands 15 106 0.4× 52 0.2× 85 0.4× 147 1.3× 23 0.2× 25 879
Caroline C. King United States 16 335 1.2× 151 0.6× 66 0.3× 246 2.2× 5 0.1× 37 722
Chinh T. Lé United States 17 455 1.7× 240 1.0× 23 0.1× 213 1.9× 7 0.1× 50 1.0k
Anne M. Presanis United Kingdom 20 738 2.7× 23 0.1× 91 0.4× 709 6.3× 19 0.2× 49 1.5k
Wayne Dimech Australia 18 331 1.2× 91 0.4× 16 0.1× 159 1.4× 16 0.2× 54 754
Arpita Ghosh India 21 746 2.7× 142 0.6× 25 0.1× 59 0.5× 4 0.0× 68 1.4k
William C. Louv United States 9 172 0.6× 298 1.2× 28 0.1× 82 0.7× 3 0.0× 21 564
Louise Pedneault United States 17 885 3.3× 62 0.2× 78 0.4× 2.2k 19.7× 7 0.1× 32 3.0k
C. Micha Nübling Germany 23 576 2.1× 27 0.1× 17 0.1× 542 4.8× 60 0.6× 49 1.4k
Wasima Rida United States 16 341 1.3× 13 0.1× 41 0.2× 408 3.6× 5 0.1× 28 1.3k

Countries citing papers authored by Alula Hadgu

Since Specialization
Citations

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

Fields of papers citing papers by Alula Hadgu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alula Hadgu

This figure shows the co-authorship network connecting the top 25 collaborators of Alula Hadgu. A scholar is included among the top collaborators of Alula Hadgu 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 Alula Hadgu. Alula Hadgu 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.
Hadgu, Alula, et al.. (2024). The Association Between Vitamin D Deficiency and Diabetes in Adult African Americans and Whites: An NHANES Study. Journal of Racial and Ethnic Health Disparities. 12(5). 3401–3416. 2 indexed citations
2.
Hadgu, Alula, Nandini Dendukuri, & Liangliang Wang. (2011). Evaluation of Screening Tests for Detecting Chlamydia trachomatis. Epidemiology. 23(1). 72–82. 14 indexed citations
3.
Hadgu, Alula, et al.. (2010). Primary pulmonary choriocarcinoma in a male. BMJ Case Reports. 2010. bcr0220102712–bcr0220102712. 8 indexed citations
4.
Hadgu, Alula & Maya Sternberg. (2008). Reproducibility and specificity concerns associated with nucleic acid amplification tests for detecting Chlamydia trachomatis. European Journal of Clinical Microbiology & Infectious Diseases. 28(1). 9–15. 9 indexed citations
5.
Dendukuri, Nandini, Alula Hadgu, & Liangliang Wang. (2008). Modeling conditional dependence between diagnostic tests: A multiple latent variable model. Statistics in Medicine. 28(3). 441–461. 71 indexed citations
6.
Dendukuri, Nandini, Alula Hadgu, & Liangliang Wang. (2007). Modeling Conditional Dependence Between Diagnostic Tests Due To Multiple Latent Variables: A Hierarchical Latent Class Model. 1 indexed citations
7.
Hadgu, Alula. (2006). The Decline in Clinical Sequelae of Genital Chlamydia trachomatis Infection Supports Current Control Strategies. 2 indexed citations
8.
Hadgu, Alula, et al.. (2005). Evaluation of Nucleic Acid Amplification Tests in the Absence of a Perfect Gold-Standard Test. Epidemiology. 16(5). 604–612. 84 indexed citations
9.
Sternberg, Maya & Alula Hadgu. (2001). A GEE approach to estimating sensitivity and specificity and coverage properties of the confidence intervals. Statistics in Medicine. 20(9-10). 1529–1539. 37 indexed citations
10.
Hadgu, Alula. (1999). Discrepant Analysis. Journal of Clinical Epidemiology. 52(12). 1231–1237. 59 indexed citations
11.
Newhall, W J, Robert E. Johnson, Susan Delisle, et al.. (1999). Head-to-Head Evaluation of Five Chlamydia Tests Relative to a Quality-Assured Culture Standard. Journal of Clinical Microbiology. 37(3). 681–685. 27 indexed citations
12.
Hadgu, Alula & Yinsheng Qu. (1998). A Biomedical Application of Latent Class Models with Random Effects. Journal of the Royal Statistical Society Series C (Applied Statistics). 47(4). 603–616. 75 indexed citations
13.
Qu, Yinsheng & Alula Hadgu. (1998). A Model for Evaluating Sensitivity and Specificity for Correlated Diagnostic Tests in Efficacy Studies with an Imperfect Reference Test. Journal of the American Statistical Association. 93(443). 920–920. 10 indexed citations
14.
Hadgu, Alula, Gary G. Koch, & L Weström. (1997). Analysis of ectopic pregnancy data using marginal and conditional models. Statistics in Medicine. 16(21). 2403–2417. 7 indexed citations
15.
Hadgu, Alula. (1997). BIAS IN THE EVALUATION OF DNA-AMPLIFICATION TESTS FOR DETECTINGCHLAMYDIA TRACHOMATIS. Statistics in Medicine. 16(12). 1391–1399. 44 indexed citations
16.
Skjeldestad, Finn Egil, Svein Arne Nordbø, & Alula Hadgu. (1997). Sentinel surveillance of Chlamydia trachomatis infection in women terminating pregnancy.. Sexually Transmitted Infections. 73(1). 29–32. 6 indexed citations
17.
Hadgu, Alula. (1996). The discrepancy in discrepant analysis. The Lancet. 348(9027). 592–593. 110 indexed citations
18.
Smith, Philip J. & Alula Hadgu. (1992). Sensitivity and specificity for correlated observations. Statistics in Medicine. 11(11). 1503–1509. 67 indexed citations
19.
Brooks, Camilla A., et al.. (1988). The robustness of the logistic risk function. Communications in Statistics - Simulation and Computation. 17(1). 1–24. 2 indexed citations
20.
Hadgu, Alula, et al.. (1987). Predicting acute pelvic inflammatory disease: A multivariate analysis. International Journal of Gynecology & Obstetrics. 25(5). 427–428. 6 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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