Standout Papers

Notions of explainability and evaluation approaches for explainable artificial intelligence 2021 2026 2022 2024249
  1. Notions of explainability and evaluation approaches for explainable artificial intelligence (2021)
    Giulia Vilone, Luca Longo Information Fusion

Immediate Impact

66 standout
Sub-graph 1 of 21

Citing Papers

Deep leaning in food safety and authenticity detection: An integrative review and future prospects
2024 Standout
Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
2 intermediate papers

Works of Giulia Vilone being referenced

Notions of explainability and evaluation approaches for explainable artificial intelligence
2021 Standout
Explainable Artificial Intelligence: a Systematic Review
2020

Author Peers

Author Last Decade Papers Cites
Giulia Vilone 256 21 74 39 11 405
David Alonso-Ríos 159 4 47 29 14 415
Meike Nauta 285 3 93 15 11 449
Weixin Liang 185 2 122 51 10 431
Jeffrey Li 182 14 17 15 4 426
Inioluwa Deborah Raji 147 3 47 119 9 359
Gregory Plumb 180 13 16 15 5 416
Alessa Angerschmid 152 1 57 45 11 347
Florian Guitton 154 8 19 13 11 385
Waddah Saeed 202 3 52 14 5 338
Katharina Holzinger 135 1 110 52 7 373

All Works

Loading papers...

Rankless by CCL
2026