Standout Papers

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI 2023 2026 2024151
  1. From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI (2023)
    Meike Nauta, Jan Trienes et al. ACM Computing Surveys

Immediate Impact

28 standout
Sub-graph 1 of 9

Citing Papers

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
2024 Standout
A review of Explainable Artificial Intelligence in healthcare
2024 Standout
3 intermediate papers

Works of Jörg Schlötterer being referenced

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
2023 Standout

Author Peers

Author Last Decade Papers Cites
Jörg Schlötterer 19 129 23 34 11 196
Anthony Levas 19 91 18 26 8 202
Eoin M. Kenny 13 187 29 33 9 223
Holy Lovenia 32 180 19 56 9 268
Ludovik Çoba 41 131 22 24 9 209
Bettina Finzel 5 152 21 44 10 210
Yejin Bang 31 186 20 56 8 295
Ruihua Song 16 88 38 22 9 187
Alan Perotti 6 152 11 65 11 219
Yanghe Pan 35 84 10 23 15 175
Weihua Peng 25 171 18 37 18 285

All Works

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2026