Hinda Haned

1.7k total citations
24 papers, 1.0k citations indexed

About

Hinda Haned is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Hinda Haned has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 16 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Hinda Haned's work include Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (15 papers) and Genetic Associations and Epidemiology (3 papers). Hinda Haned is often cited by papers focused on Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (15 papers) and Genetic Associations and Epidemiology (3 papers). Hinda Haned collaborates with scholars based in Netherlands, Norway and France. Hinda Haned's co-authors include Phillipa Gill, Peter Gill, Titia Sijen, Corina C.G. Benschop, Thore Egeland, Klaas Slooten, Guro Dørum, Dominique Pontier, Øyvind Bleka and Oskar Hansson and has published in prestigious journals such as Journal of Forensic Sciences, Forensic Science International Genetics and International Journal of Legal Medicine.

In The Last Decade

Hinda Haned

24 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hinda Haned Netherlands 19 851 617 211 187 50 24 1.0k
Corina C.G. Benschop Netherlands 16 561 0.7× 463 0.8× 182 0.9× 87 0.5× 36 0.7× 38 735
Øyvind Bleka Norway 14 531 0.6× 470 0.8× 149 0.7× 77 0.4× 31 0.6× 44 781
Tacha Hicks Switzerland 18 553 0.6× 247 0.4× 104 0.5× 126 0.7× 34 0.7× 42 863
Jo‐Anne Bright New Zealand 28 2.0k 2.3× 1.5k 2.5× 566 2.7× 336 1.8× 155 3.1× 110 2.5k
Klaas Slooten Netherlands 13 362 0.4× 194 0.3× 72 0.3× 130 0.7× 49 1.0× 38 485
Jerry Hoogenboom Netherlands 12 334 0.4× 342 0.6× 124 0.6× 38 0.2× 13 0.3× 28 509
Guro Dørum Norway 13 368 0.4× 413 0.7× 107 0.5× 27 0.1× 10 0.2× 33 568
Simon J. Walsh Australia 17 727 0.9× 505 0.8× 226 1.1× 49 0.3× 3 0.1× 65 1.1k
Gillian Tully United Kingdom 15 878 1.0× 710 1.2× 184 0.9× 18 0.1× 7 0.1× 26 1.3k
Anthony J. Onorato United States 7 289 0.3× 268 0.4× 85 0.4× 30 0.2× 15 0.3× 8 393

Countries citing papers authored by Hinda Haned

Since Specialization
Citations

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

Fields of papers citing papers by Hinda Haned

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hinda Haned

This figure shows the co-authorship network connecting the top 25 collaborators of Hinda Haned. A scholar is included among the top collaborators of Hinda Haned 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 Hinda Haned. Hinda Haned 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.
Lučić, Ana, Harrie Oosterhuis, Hinda Haned, & Maarten de Rijke. (2019). Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles.. UvA-DARE (University of Amsterdam). 6 indexed citations
2.
Benschop, Corina C.G., et al.. (2019). Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach. Forensic Science International Genetics. 43. 102150–102150. 25 indexed citations
3.
Benschop, Corina C.G., et al.. (2017). Validation of SmartRank: A likelihood ratio software for searching national DNA databases with complex DNA profiles. Forensic Science International Genetics. 29. 145–153. 29 indexed citations
4.
Gill, Peter, Hinda Haned, Øyvind Bleka, et al.. (2015). Genotyping and interpretation of STR-DNA: Low-template, mixtures and database matches—Twenty years of research and development. Forensic Science International Genetics. 18. 100–117. 121 indexed citations
5.
Benschop, Corina C.G., et al.. (2015). The effect of varying the number of contributors on likelihood ratios for complex DNA mixtures. Forensic Science International Genetics. 19. 92–99. 36 indexed citations
6.
Benschop, Corina C.G., et al.. (2015). Evaluation of samples comprising minute amounts of DNA. Science & Justice. 55(5). 316–322. 11 indexed citations
7.
Gill, Peter, Hinda Haned, Mayra Eduardoff, et al.. (2015). The open-source software LRmix can be used to analyse SNP mixtures. Forensic science international. Genetics supplement series. 5. e50–e51. 12 indexed citations
8.
Haned, Hinda, Corina C.G. Benschop, Peter Gill, & Titia Sijen. (2014). Complex DNA mixture analysis in a forensic context: Evaluating the probative value using a likelihood ratio model. Forensic Science International Genetics. 16. 17–25. 38 indexed citations
9.
Dørum, Guro, Øyvind Bleka, Peter Gill, et al.. (2013). Exact computation of the distribution of likelihood ratios with forensic applications. Forensic Science International Genetics. 9. 93–101. 25 indexed citations
10.
Bleka, Øyvind, Guro Dørum, Hinda Haned, & Peter Gill. (2013). Database extraction strategies for low-template evidence. Forensic Science International Genetics. 9. 134–141. 11 indexed citations
11.
Haned, Hinda, Klaas Slooten, & Phillipa Gill. (2012). Exploratory data analysis for the interpretation of low template DNA mixtures. Forensic Science International Genetics. 6(6). 762–774. 83 indexed citations
12.
Gill, Phillipa, Leonor Gusmão, Hinda Haned, et al.. (2012). DNA commission of the International Society of Forensic Genetics: Recommendations on the evaluation of STR typing results that may include drop-out and/or drop-in using probabilistic methods. Forensic Science International Genetics. 6(6). 679–688. 143 indexed citations
13.
Benschop, Corina C.G., et al.. (2012). Assessment of mock cases involving complex low template DNA mixtures: A descriptive study. Forensic Science International Genetics. 6(6). 697–707. 21 indexed citations
14.
Westen, Antoinette A., Hinda Haned, Joyce Harteveld, et al.. (2012). Combining results of forensic STR kits: HDplex validation including allelic association and linkage testing with NGM and Identifiler loci. International Journal of Legal Medicine. 126(5). 781–789. 36 indexed citations
15.
Gill, Phillipa & Hinda Haned. (2012). A new methodological framework to interpret complex DNA profiles using likelihood ratios. Forensic Science International Genetics. 7(2). 251–263. 94 indexed citations
16.
Haned, Hinda, et al.. (2011). Estimating drop-out probabilities in forensic DNA samples: A simulation approach to evaluate different models. Forensic Science International Genetics. 5(5). 525–531. 32 indexed citations
17.
Benschop, Corina C.G., Hinda Haned, & Titia Sijen. (2011). Consensus and pool profiles to assist in the analysis and interpretation of complex low template DNA mixtures. International Journal of Legal Medicine. 127(1). 11–23. 25 indexed citations
18.
Haned, Hinda. (2010). Forensim: An open-source initiative for the evaluation of statistical methods in forensic genetics. Forensic Science International Genetics. 5(4). 265–268. 79 indexed citations
19.
Haned, Hinda, et al.. (2010). The predictive value of the maximum likelihood estimator of the number of contributors to a DNA mixture. Forensic Science International Genetics. 5(4). 281–284. 28 indexed citations
20.
Haned, Hinda, et al.. (2010). Estimating the Number of Contributors to Forensic DNA Mixtures: Does Maximum Likelihood Perform Better Than Maximum Allele Count?. Journal of Forensic Sciences. 56(1). 23–28. 69 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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