The task requires us to compute the influence factor of a researcher based on the number of citations their papers have received. The influence factor is defined as the maximum value of ( k ) such that there are at least ( k ) papers with at least ( k ) citations each.
I tried with a dobule for loop to find the max value for h-index. But I was sure that could be a better way
Here’s a step-by-step approach to solve this:
def calculate_influence_factor(citations):
# Sort the list in descending order
citations.sort(reverse=True)
# Initialize the influence factor
influence_factor = 0
# Iterate through the sorted list
for i in range(len(citations)):
if citations[i] >= i + 1:
influence_factor = i + 1
else:
break
return influence_factor
# Test the function with the provided example
references = [3, 0, 4, 2, 8]
print(calculate_influence_factor(references)) # Output: 3
This function first sorts the citations list in descending order and then iterates through the sorted list to determine the maximum value of ( k ) that satisfies the given conditions.