Hinda Haned
- Genetics top 2%
- Molecular Biology
- Ecology top 10%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Co-authors
- Phillipa GillPeter GillTitia SijenCorina C.G. BenschopThore EgelandGuro DørumKlaas SlootenDominique Pontier
- Topics
- Forensic and Genetic Research (21 papers)Molecular Biology Techniques and Applications (15 papers)Genetic Associations and Epidemiology (3 papers)
- Cited by
- GeneticsMolecular BiologyEcology
- Journals
- Journal of Forensic SciencesForensic Science International GeneticsInternational Journal of Legal Medicine
- Partner nations
- NetherlandsNorwayFrance
In The Last Decade
Hinda Haned
24 papers receiving 986 citations
Peers
Comparison fields: 5 of 75
- Genetics 851
- Molecular Biology 617
- Ecology 211
- Artificial Intelligence 187
- Statistics and Probability 50
Countries citing papers authored by Hinda Haned
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. | 6 |
| 2 | 25 | |
| 3 | 29 | |
| 4 | 121 | |
| 5 | 11 | |
| 6 | 36 | |
| 7 | 38 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 83 | |
| 11 | 143 | |
| 12 | 21 | |
| 13 | 36 | |
| 14 | 94 | |
| 15 | 25 | |
| 16 | 32 | |
| 17 | 31 | |
| 18 | 79 | |
| 19 | 69 | |
| 20 | 28 |
About Hinda Haned
Hinda Haned is a scholar working on Genetics, Molecular Biology and Artificial Intelligence, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (15 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (851 citations), Molecular Biology (617 citations) and Ecology (211 citations). Hinda Haned has collaborated with scholars based in Netherlands, Norway and France. Frequent co-authors include Phillipa Gill, Peter Gill, Titia Sijen, Corina C.G. Benschop, Thore Egeland, Guro Dørum, Klaas Slooten, Dominique Pontier, Øyvind Bleka and Oskar Hansson. Their work appears in journals such as Journal of Forensic Sciences, Forensic Science International Genetics and International Journal of Legal Medicine.
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.