🔍 Academic Citation Network: Fascinating Papers to Explore¶

Welcome to Citation Compass. This document lists example papers from our citation network that demonstrate capabilities. Each example represents different aspects of research that you can explore, analyze, and connect.

🌟 Start Here: The Original Seed Paper¶

Paper ID: 01e77cd46ab75bab8f4b176455f0daa592e5f979
Title: Visual Cognition Modelling Search for People in 900 Scenes: a Combined Source Model of Eye Guidance
Authors: Krista A. Ehinger, Barbara Hidalgo-Sotelo, A. Torralba, A. Oliva
Field: Visual Cognition/Computer Vision
Citations: 318

Why explore this? This is the foundational paper that started our citation network. It explores how humans visually search for people in natural scenes using computational eye guidance models. Perfect starting point to understand the intersection of psychology and AI.

🚀 High-Impact Research That Changed Everything¶

Paper ID: e15cf50aa89fee8535703b9f9512fca5bfc43327
Title: Going deeper with convolutions (GoogleNet/Inception)
Authors: Szegedy et al.
Year: 2014
Field: Computer Vision/Deep Learning
Citations: 41,763

Why explore this? This revolutionary CNN architecture transformed computer vision and shows how foundational machine learning connects to attention research. Trace how this influences modern visual AI.

⚡ Recent Breakthrough (Cutting-Edge AI)¶

Paper ID: 7470a1702c8c86e6f28d32cfa315381150102f5b
Title: Segment Anything (Meta AI)
Authors: Kirillov et al.
Year: 2023
Field: Computer Vision
Citations: 4,734

Why explore this? The latest breakthrough in image segmentation that can "segment anything" in any image. Explore how recent AI advances build upon decades of attention research.

🏥 Medical Applications (Real-World Impact)¶

Eye-Tracking for Healthcare¶

Paper ID: 224537e971d63c5ab906342e1ac93c5de974de39
Title: COLET: A dataset for COgnitive workLoad estimation based on eye-tracking
Year: 2022
Field: Medicine + Computer Science
Citations: 17

Why explore this? See how eye-tracking technology is revolutionizing healthcare by measuring cognitive workload in medical professionals.

MRI + Deep Learning¶

Paper ID: eba54f56853495e0d78f5f0ad1214d4a0d302a8b
Title: Magnetic resonance-based eye tracking using deep neural networks
Year: 2021
Field: Medicine + Computer Science
Citations: 30

Why explore this? Groundbreaking fusion of MRI technology with AI for eye-tracking - shows how medical imaging meets attention research.

🔬 Latest Research Methodologies (2024 Innovations)¶

AI-Powered Medical Imaging¶

Paper ID: 5a4e03154efea02e97ca3f5ae2f01d698f15d3e9
Title: GazeSearch: Radiology Findings Search Benchmark
Authors: Pham et al.
Year: 2024
Field: Computer Science/Medicine

Why explore this? Latest innovations in using eye-tracking to improve medical diagnosis - see how doctors' gaze patterns can enhance AI medical imaging.

Zero-Shot Attention Prediction¶

Paper ID: d1c016ad763d3fbbebf79981af54d459c48f0a74
Title: Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
Authors: Zhou et al.
Year: 2024
Field: Computer Science/Psychology

Why explore this? Cutting-edge AI that can predict where humans will look without prior training - represents the frontier of attention modeling.

🌐 Cross-Disciplinary Research (Bridging Fields)¶

Paper ID: 5e5c85a508eb1f4e959d5bdb343ae4f0d91811b0
Title: Predicting Task-Driven Attention via Integrating Bottom-Up Stimulus and Top-Down Guidance
Authors: Nan et al.
Year: 2021
Field: Interdisciplinary (CS + Psychology + Medicine)
Citations: 8

Why explore this? Perfect example of how computer science, psychology, and medicine collaborate to understand human attention mechanisms.

🎯 How to Explore These Papers¶

1. Citation Analysis¶

• Start with any paper above and explore its citation network
• See which papers cite it (influence forward in time)
• See which papers it cites (trace back to foundations)

2. Author Networks¶

• Follow researchers like Krista Ehinger across their career
• Discover collaborations between different institutions
• Find emerging research leaders

3. Field Evolution¶

• Trace how "eye-tracking" research evolved from psychology to AI
• See how medical applications emerged from computer vision
• Follow the progression from basic attention models to clinical applications

4. Temporal Patterns¶

• Compare 2014 foundations with 2024 breakthroughs
• Identify research acceleration periods
• Predict future research directions

5. Cross-Field Connections¶

• Discover unexpected links between computer vision and medicine
• Find papers that bridge psychology and engineering
• Explore interdisciplinary collaboration patterns

💡 Visualization Opportunities¶

Each of these papers offers rich visualization potential:

• Network graphs showing citation relationships
• Timeline visualizations of field evolution
• Author collaboration networks
• Keyword emergence patterns
• Geographic research distributions
• Impact propagation animations

🔥 Pro Tips for New Users¶

1. Start with the seed paper to understand the network's foundation
2. Jump to high-citation papers to see major breakthroughs
3. Explore recent papers to find cutting-edge research
4. Follow author paths to discover research trajectories
5. Look for cross-field connections to find unexpected insights

Ready to explore? Pick any paper ID above and dive into the citation network to discover the fascinating connections between human attention, artificial intelligence, and real-world applications!