Most Influential IJCAI Papers (2025-09 Version)
Summary
Paper Digest has released its "Most Influential IJCAI Papers (2025-09 Version)" list, identifying the top 15 papers from each year of the International Joint Conference on Artificial Intelligence (IJCAI). This ranking is automatically generated based on citations from both research papers and granted patents, and is updated frequently. The 2024 list highlights several key areas, including Large Language Model (LLM) based multi-agent systems, with "Large Language Model Based Multi-agents: A Survey of Progress and Challenges" ranked first (IF:6). Other prominent topics in 2024 include continual learning with pre-trained models, LLMs for time series analysis, graph neural networks, and multimodal LLM safety. Earlier years also feature influential works on Transformers in time series (2023, IF:7), the Shapley Value in Machine Learning (2022, IF:5), and DeepFM for CTR Prediction (2017, IF:9). The platform also offers services to search, review, and browse authors by venue.
Key takeaway
Research Scientists should regularly consult curated lists like the "Most Influential IJCAI Papers" to stay abreast of high-impact developments and foundational research. Focusing on papers with high citation counts, especially those from patents, can indicate both academic significance and practical applicability, guiding your research direction and identifying promising areas for innovation.
Key insights
Citation analysis reveals key trends and enduring impact in AI research across top conferences like IJCAI.
Principles
- Influence is measured by citations from papers and patents.
- AI research trends evolve rapidly, with LLMs dominating recent influence.
- Surveys and foundational methods often achieve high influence scores.
Method
Paper Digest automatically ranks papers by citations from research papers and granted patents, providing a dynamic, frequently updated list of influential works from major AI conferences.
In practice
- Explore top-ranked papers for foundational knowledge in AI subfields.
- Utilize Paper Digest's search tools to find relevant research by venue.
- Monitor citation metrics to identify emerging high-impact research.
Topics
- Large Language Models
- Graph Neural Networks
- Reinforcement Learning
- Time Series Analysis
- Multimodal AI
Best for: Research Scientist, AI Researcher, AI Scientist, AI Engineer
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence – Resources | Paper Digest.