{{As of|2020}} ''Cracking the Coding Interview'' is a best-seller, ranking 500 out of 32 million books<ref name=howmanybooks>https://www.quora.com/How-many-books-does-Amazon-have-for-sale</ref> on Amazon.com.521<ref name=amazon>{{cite web|url=https://www.amazon.com/dp/0984782850|website=amazon.com|title=Cracking the Coding Interview: 189 Programming Questions and Solutions 6th Edition}}</ref> out of 32 million books<ref name=howmanybooks>https://www.quora.com/How-many-books-does-Amazon-have-for-sale</ref> on Amazon.com in the [[United States]].<ref name=amazon/> It ranks as
* Number 1 in the [[job interview]] category
* Number 1 in the [[computer hacking]] category
* Number 1 in the [[programming languages]] category
{{As of|2020}} the book has received a total of 79670 amazon customer reviews with an average score of 4.5 out of 5<ref name=amazon/> and has been widely cited in [[peer reviewed]] scientific papers.<ref name=wyrich>{{cite journal|last1=Wyrich|first1=Marvin|last2=Graziotin|first2=Daniel|last3=Wagner|first3=Stefan|title=A theory on individual characteristics of successful coding challenge solvers|journal=PeerJ Computer Science|volume=5|year=2019|pages=e173|issn=2376-5992|doi=10.7717/peerj-cs.173}}</ref><ref name=hall>{{cite journal|last1=Hall Jr.|first1=Phillip|last2=Gosha|first2=Kinnis|title=The Effects of Anxiety and Preparation on Performance in Technical Interviews for HBCU Computer Science Majors|year=2018|pages=64–69|doi=10.1145/3209626.3209707}}</ref><ref name=ar>{{cite arXiv |last= |first= |arxiv=1903.00830 |title=Predicting Algorithm Classes for Programming Word Problems |class= |date=2019 |first1=Vinayak|last1= Athavale|first2= Aayush|last2= Naik|first3= Rajas|last3= Vanjape|first4= Manish|last4= Shrivastava}}</ref><ref name=ford>{{cite journal|last1=Ford|first1=Denae|last2=Barik|first2=Titus|last3=Rand-Pickett|first3=Leslie|last4=Parnin|first4=Chris|title=The Tech-Talk Balance: What Technical Interviewers Expect from Technical Candidates|year=2017|pages=43–48|doi=10.1109/CHASE.2017.8|journal= IEEE/ACM 10th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)|year=2017}}</ref>
