Mobilewalla: A Mobile Application Search Engine. - Anindya Datta; Kaushik Dutta; Sangar Kajanan; Nargin Pervin (MobiCASE, 2011)

Takeoff and Sustained Success of Apps in Hypercompetitive Mobile Platform Ecosystems: An Empirical Analysis. - Sangaralingam Kajanan; Nargis Pervin; Narayan Ramasubbu; Anindya Datta; Kaushik Dutta (ICIS, 2012)

Towards Generating Recommendations on Large Dynamically Growing Domains. - Nargis Pervin; Anindya Datta; Kaushik Dutta (PACIS, 2013)

Information Diffusion on Twitter: Everyone Has Its Chance, But All Chances Are Not Equal. - Rémy Cazabet; Nargis Pervin; Fujio Toriumi; Hideaki Takeda 001 (SITIS, 2013)

A Mobile App Search Engine. - Anindya Datta; Sangaralingam Kajanan; Nargis Pervin (Mob. Networks Appl., 2013)

Fast, Scalable, and Context-Sensitive Detection of Trending Topics in Microblog Post Streams. - Nargis Pervin; Fang Fang; Anindya Datta; Kaushik Dutta; Debra E. VanderMeer (ACM Trans. Manag. Inf. Syst., 2013)

Factors Affecting Retweetability: An Event-Centric Analysis on Twitter. - Nargis Pervin; Hideaki Takeda 001; Fujio Toriumi (ICIS, 2014)

Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags. - Nargis Pervin; Tuan Quang Phan; Anindya Datta; Hideaki Takeda 001; Fujio Toriumi (HCI (14), 2015)

Effect of Agglomeration in the Restaurant Industry. - Keertana V. Chidambaram; Nargis Pervin (AMCIS, 2018)

A Clustering Based Social Matrix Factorization Technique for Personalized Recommender Systems. - Divyaa L. R.; Aniruddha Tamhane; Nargis Pervin (AMCIS, 2018)

ALDA: An Aggregated LDA for Polarity Enhanced Aspect Identification Technique in Mobile App Domain. - Binil Kuriachan; Nargis Pervin (DESRIST, 2018)

An Entity Based LDA for Generating Sentiment Enhanced Business and Customer Profiles from Online Reviews. - Aniruddha Tamhane; Divyaa L. R.; Nargis Pervin (HCI (4), 2018)

RecCite: A Hybrid Approach to Recommend Potential Papers. - Pratyush Yadav; Nikhila Remala; Nargis Pervin (IEEE BigData, 2019)

Towards generating scalable personalized recommendations: Integrating social trust, social bias, and geo-spatial clustering. - Divyaa L. R.; Nargis Pervin (Decis. Support Syst., 2019)

Context Aware POI Recommendation using Bipartite Graph. - Davangave Balaji Manmath; Nargis Pervin (AMCIS, 2022)

Generalized Representation of Electronic Health Records for Unplanned Hospital Readmission. - Sanjay Krishnamurthy; Nargis Pervin (ECIS, 2022)

What Do We Know? A Bibliometric Analysis of Current Literature on COVID-19 and its Implications. - Pratyush Yadav; Anju R; Nargis Pervin (HICSS, 2022)

Antecedents of Perceived Fairness and User Trust in Scientific Recommender Systems. - Pratyush Yadav; Nargis Pervin (PACIS, 2022)

Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles. - Pratyush Yadav; Nargis Pervin (J. Informetrics, 2022)

Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning. - Rajaram R; Manoj Bharadhwaj; Vasan VS; Nargis Pervin (CoRR, 2024)

Integration of short and long-term interests: A preference aware session-based recommender. - Sanjay K.; Nargis Pervin (Neurocomputing, 2024)

CredBERT: Credibility-aware BERT model for fake news detection. - Anju R; Nargis Pervin (Data Knowl. Eng., 2025)

Knowledge-based Context-aware Group Recommender System for Point of Interest recommendation. - Nargis Pervin; Abhishek Kulkarni; Ayush Adarsh; Shreya Som (Decis. Support Syst., 2025)

Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization. - Somdeep Acharyya; Nargis Pervin (Expert Syst. Appl., 2025)