diff --git a/algorithms/pom.xml b/algorithms/pom.xml
index e972f39494..2eb8cd42b6 100644
--- a/algorithms/pom.xml
+++ b/algorithms/pom.xml
@@ -39,6 +39,12 @@
             <artifactId>jgrapht-core</artifactId>
             <version>1.0.1</version>
         </dependency>
+        <dependency>
+            <groupId>org.assertj</groupId>
+            <artifactId>assertj-core</artifactId>
+            <version>3.9.0</version>
+            <scope>test</scope>
+        </dependency>
     </dependencies>
 
     <build>
diff --git a/algorithms/src/main/java/com/baeldung/algorithms/kthlargest/FindKthLargest.java b/algorithms/src/main/java/com/baeldung/algorithms/kthlargest/FindKthLargest.java
new file mode 100644
index 0000000000..822abdae02
--- /dev/null
+++ b/algorithms/src/main/java/com/baeldung/algorithms/kthlargest/FindKthLargest.java
@@ -0,0 +1,111 @@
+package com.baeldung.algorithms.kthlargest;
+
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.stream.IntStream;
+
+public class FindKthLargest {
+
+    public int findKthLargestBySorting(Integer[] arr, int k) {
+        Arrays.sort(arr);
+        int targetIndex = arr.length - k;
+        return arr[targetIndex];
+    }
+
+    public int findKthLargestBySortingDesc(Integer[] arr, int k) {
+        Arrays.sort(arr, Collections.reverseOrder());
+        return arr[k - 1];
+    }
+
+    public int findKthElementByQuickSelect(Integer[] arr, int left, int right, int k) {
+        if (k >= 0 && k <= right - left + 1) {
+            int pos = partition(arr, left, right);
+            if (pos - left == k) {
+                return arr[pos];
+            }
+            if (pos - left > k) {
+                return findKthElementByQuickSelect(arr, left, pos - 1, k);
+            }
+            return findKthElementByQuickSelect(arr, pos + 1, right, k - pos + left - 1);
+        }
+        return 0;
+    }
+
+    public int findKthElementByQuickSelectWithIterativePartition(Integer[] arr, int left, int right, int k) {
+        if (k >= 0 && k <= right - left + 1) {
+            int pos = partitionIterative(arr, left, right);
+            if (pos - left == k) {
+                return arr[pos];
+            }
+            if (pos - left > k) {
+                return findKthElementByQuickSelectWithIterativePartition(arr, left, pos - 1, k);
+            }
+            return findKthElementByQuickSelectWithIterativePartition(arr, pos + 1, right, k - pos + left - 1);
+        }
+        return 0;
+    }
+
+    private int partition(Integer[] arr, int left, int right) {
+        int pivot = arr[right];
+        Integer[] leftArr;
+        Integer[] rightArr;
+
+        leftArr = IntStream.range(left, right)
+            .filter(i -> arr[i] < pivot)
+            .map(i -> arr[i])
+            .boxed()
+            .toArray(Integer[]::new);
+
+        rightArr = IntStream.range(left, right)
+            .filter(i -> arr[i] > pivot)
+            .map(i -> arr[i])
+            .boxed()
+            .toArray(Integer[]::new);
+
+        int leftArraySize = leftArr.length;
+        System.arraycopy(leftArr, 0, arr, left, leftArraySize);
+        arr[leftArraySize + left] = pivot;
+        System.arraycopy(rightArr, 0, arr, left + leftArraySize + 1, rightArr.length);
+
+        return left + leftArraySize;
+    }
+
+    private int partitionIterative(Integer[] arr, int left, int right) {
+        int pivot = arr[right], i = left;
+        for (int j = left; j <= right - 1; j++) {
+            if (arr[j] <= pivot) {
+                swap(arr, i, j);
+                i++;
+            }
+        }
+        swap(arr, i, right);
+        return i;
+    }
+
+    public int findKthElementByRandomizedQuickSelect(Integer[] arr, int left, int right, int k) {
+        if (k >= 0 && k <= right - left + 1) {
+            int pos = randomPartition(arr, left, right);
+            if (pos - left == k) {
+                return arr[pos];
+            }
+            if (pos - left > k) {
+                return findKthElementByRandomizedQuickSelect(arr, left, pos - 1, k);
+            }
+            return findKthElementByRandomizedQuickSelect(arr, pos + 1, right, k - pos + left - 1);
+        }
+        return 0;
+    }
+
+    private int randomPartition(Integer arr[], int left, int right) {
+        int n = right - left + 1;
+        int pivot = (int) (Math.random()) % n;
+        swap(arr, left + pivot, right);
+        return partition(arr, left, right);
+    }
+
+    private void swap(Integer[] arr, int n1, int n2) {
+        int temp = arr[n2];
+        arr[n2] = arr[n1];
+        arr[n1] = temp;
+    }
+}
diff --git a/algorithms/src/test/java/com/baeldung/algorithms/kthlargest/FindKthLargestUnitTest.java b/algorithms/src/test/java/com/baeldung/algorithms/kthlargest/FindKthLargestUnitTest.java
new file mode 100644
index 0000000000..6fbb7c163a
--- /dev/null
+++ b/algorithms/src/test/java/com/baeldung/algorithms/kthlargest/FindKthLargestUnitTest.java
@@ -0,0 +1,57 @@
+package com.baeldung.algorithms.kthlargest;
+
+import static org.assertj.core.api.Assertions.*;
+
+import org.junit.Before;
+import org.junit.Test;
+
+public class FindKthLargestUnitTest {
+
+    private FindKthLargest findKthLargest;
+    private Integer[] arr = { 3, 7, 1, 2, 8, 10, 4, 5, 6, 9 };
+
+    @Before
+    public void setup() {
+        findKthLargest = new FindKthLargest();
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthLargestBySorting_thenGetResult() {
+        int k = 3;
+        assertThat(findKthLargest.findKthLargestBySorting(arr, k)).isEqualTo(8);
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthLargestBySortingDesc_thenGetResult() {
+        int k = 3;
+        assertThat(findKthLargest.findKthLargestBySortingDesc(arr, k)).isEqualTo(8);
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthLargestByQuickSelect_thenGetResult() {
+        int k = 3;
+        int kthLargest = arr.length - k;
+        assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthElementByQuickSelectIterative_thenGetResult() {
+        int k = 3;
+        int kthLargest = arr.length - k;
+        assertThat(findKthLargest.findKthElementByQuickSelectWithIterativePartition(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthSmallestByQuickSelect_thenGetResult() {
+        int k = 3;
+        assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, k - 1)).isEqualTo(3);
+    }
+
+    @Test
+    public void givenIntArray_whenFindKthLargestByRandomizedQuickSelect_thenGetResult() {
+        int k = 3;
+        int kthLargest = arr.length - k;
+        assertThat(findKthLargest.findKthElementByRandomizedQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
+    }
+
+}