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The authors would like to thank researchers and students of the Computer Science Investigation on Digital Forensics (CSI-DIn) UEM research group, CAPES-Brazil (PROAP funding), and the National Institute of Science and Technology in Forensic Sciences (Instituto Nacional de Ciência e Tecnologia em Ciências Forenses - INCT Forense) project (grant #465450/2014-8) for funding this work. Avelino Zorzo thanks CNPq/Brazil Grant #306250/2021-7. Edson OliveiraJr thanks CNPq/Brazil Grant #311503/2022-5.
Dataset - ExperDF-Onto: an Ontology for Promoting Controlled Experimentation in Digital Forensics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 20 |

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