LeetCode 274: H-Index | Java Solution | Sorting & Counting

📝 A concise explanation of the H-Index problem - measuring a researcher's impact through citation counts. We'll implement an efficient sorting-based solution in Java. #leetcode #h-index #sorting #arrays

⏱️ **Time Complexity:** O(n log n)
🧮 **Space Complexity:** O(1)

## Timestamps
00:00 - Understanding problem statement
00:46 - Using Brute force
01:49 - Brute Force - Big O Notation
02:16 - Using Sorting approach
04:13 - Sorting approach - Big O Notation
04:45 - Optimized solution - Using Counters
07:12 - Optimal solution - Big O Notation
07:53 - Java code walk-through
09:02 - Solution analysis - runtime + memory

## Key Concepts
- 🔍 Citation Metrics
- 📊 Sorting and Counting
- 🧩 Array Manipulation
- 🔢 Binary Search (alternative approach)

## Main Takeaways
- Understanding how to calculate an H-Index
- Learning to solve problems using sorting approach
- Handling edge cases in academic metrics algorithms
- Optimizing array-based solutions

## Related LeetCode Problems
- LeetCode 275: H-Index II (Binary Search variation)
- LeetCode 347: Top K Frequent Elements
- LeetCode 451: Sort Characters By Frequency
- LeetCode 692: Top K Frequent Words

## Target Audience
This video is for software engineers preparing for coding interviews, computer science students learning algorithm design, and anyone looking to improve their Java problem-solving skills. #codinginterviews #javainterviews

## Prerequisites
- Basic knowledge of Java syntax
- Understanding of arrays and sorting algorithms
- Familiarity with time and space complexity analysis

## Links

## Additional Tips
- Pay attention to the definition of H-Index - it's the largest value h where the researcher has at least h papers with h citations each
- The solution can be optimized to O(n) using counting sort
- Consider how this problem relates to real-world academic impact measurements

## Call to Action
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[code-scribbler]

💻 Full Solution Code Available!
You can find the complete C# implementation for this problem on GitHub:

🔍 Got Questions?
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