Ranking is used in Community Question Answering (CQA) for positioning user answers. Different ranking techniques are used in CQA for ranking user answers. We identified three drawbacks with the existing ranking. The Quality answers written recently are not recognized properly compared to old average answers. Also the answers from the users having less number of followers are not recognized properly compared to users with more number of followers. Moreover experts and normal user likes are treated equally. We propose RespondRank for ranking the user answers. RespondRank identifies best answer better compared to existing methods.With RespondRank Quality answers from different users are recognized properly. Experiments carried out on Quora a popular CQA, shows our RespondRank shows significant improvement in ranking than the existing ranking techniques. Copyright © 2016 Institute of Advanced Engineering and Science. All rights reserved.