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

30 standout
Sub-graph 1 of 10

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 Jan Trienes 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
Jan Trienes 137 36 16 3 182
David Schneeberger 114 68 14 4 209
Nayeon Lee 178 56 10 5 263
Willy Chung 171 56 10 5 255
Rishi Bommasani 116 1 38 7 5 168
Zhangyin Feng 150 38 4 4 233
Łukasz Radliński 172 91 10 2 285
Konrad Wojtasik 172 91 10 2 285
Bartłomiej Koptyra 172 91 10 2 285
Bernd Malle 154 1 30 6 4 247
Julita Bielaniewicz 181 93 10 3 296

All Works

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2026