multabench/core-text-reg-scimagojr-impact

REG_TEXT_SCIMAGOJR_IMPACT

Part of MulTaBench, a benchmark for multimodal tabular learning.

Paper: MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image · Leaderboard: multabench/leaderboard

• Target: H index
• Rows: 31136
• Original source: https://www.scimagojr.com/journalrank.php?out=xls

Load the benchmark splits with multabench.load_split("REG_TEXT_SCIMAGOJR_IMPACT", fold=0).

Column	Type
Rank	int
Title	string
Type	categorical
Issn	string
SJR	string
SJR Best Quartile	categorical
Total Docs (2024)	int
Total Docs (3years)	int
Total Refs	int
Total Citations (3years)	int
Citable Docs (3years)	int
Citations / Doc (2years)	string
Ref / Doc	string
%Female	categorical
Overton	int
SDG	int
Country	string
Region	categorical
Publisher	string
Coverage	string
Categories	string
Areas	string
H index	int

Citation

@misc{arazi2026multabenchbenchmarkingmultimodaltabular,
  title={MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image},
  author={Alan Arazi and Eilam Shapira and Shoham Grunblat and Mor Ventura and Elad Hoffer and Gioia Blayer and David Holzmüller and Lennart Purucker and Gaël Varoquaux and Frank Hutter and Roi Reichart},
  year={2026},
  eprint={2605.10616},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2605.10616},
}