Computer science fields as ground-truth communities: their impact, rise and fall. - Tanmoy Chakraborty 002; Sandipan Sikdar; Vihar Tammana; Niloy Ganguly; Animesh Mukherjee 001 (ASONAM, 2013)

Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research. - Tanmoy Chakraborty 002; Sandipan Sikdar; Niloy Ganguly; Animesh Mukherjee 001 (Soc. Netw. Anal. Min., 2014)

On the broadcast of segmented messages in dynamic networks. - Sandipan Sikdar; Marcin Bodych; Rajib Ranjan Maiti; Biswajit Paria; Niloy Ganguly; Tyll Krueger; Animesh Mukherjee 001 (INFOCOM Workshops, 2015)

Time series analysis of temporal networks. - Sandipan Sikdar; Niloy Ganguly; Animesh Mukherjee 001 (CoRR, 2015)

Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. - Sandipan Sikdar; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (CIKM, 2016)

Identifying and Characterizing Sleeping Beauties on YouTube. - Sandipan Sikdar; Anshit E. Chaudhary; Shraman Kumar; Niloy Ganguly; Abhijnan Chakraborty; Gaurav Kumar; Abhijeet Patil; Animesh Mukherjee 001 (CSCW Companion, 2016)

Influence of Reviewer Interaction Network on Long-Term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. - Sandipan Sikdar; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (JCDL, 2017)

ComPAS: Community Preserving Sampling for Streaming Graphs. - Sandipan Sikdar; Tanmoy Chakraborty 002; Soumya Sarkar; Niloy Ganguly; Animesh Mukherjee 001 (AAMAS, 2018)

Using core-periphery structure to predict high centrality nodes in time-varying networks. - Soumya Sarkar; Sandipan Sikdar; Sanjukta Bhowmick; Animesh Mukherjee 001 (Data Min. Knowl. Discov., 2018)

Significance of scientific peer-review system: A case study of the Journal of High Energy Physics. - Sandipan Sikdar (Bull. IEEE Tech. Comm. Digit. Libr., 2018)

StRE: Self Attentive Edit Quality Prediction in Wikipedia. - Soumya Sarkar; Bhanu Prakash Reddy; Sandipan Sikdar; Animesh Mukherjee 001 (ACL (1), 2019)

Topic Influence Graph Based Analysis of Seminal Papers. - Abhirut Gupta; Sandipan Sikdar; Prateeti Mohapatra; Niloy Ganguly (COMAD/CODS, 2020)

The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. - Binny Mathew; Sandipan Sikdar; Florian Lemmerich; Markus Strohmaier (WWW, 2020)

On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. - Sandipan Sikdar; Paras Tehria; Matteo Marsili; Niloy Ganguly; Animesh Mukherjee 001 (Int. J. Digit. Libr., 2020)

Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. - Sandipan Sikdar; Parantapa Bhattacharya; Kieran Heese (ACL/IJCNLP (1), 2021)

The Effects of Gender Signals and Performance in Online Product Reviews. - Sandipan Sikdar; Rachneet Singh Sachdeva; Johannes Wachs; Florian Lemmerich; Markus Strohmaier (Frontiers Big Data, 2021)

SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. - Jan Engler; Sandipan Sikdar; Marlene Lutz; Markus Strohmaier (EMNLP (Findings), 2022)

GetFair: Generalized Fairness Tuning of Classification Models. - Sandipan Sikdar; Florian Lemmerich; Markus Strohmaier (FAccT, 2022)

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. - Hussain Hussain; Meng Cao; Sandipan Sikdar; Denis Helic; Elisabeth Lex; Markus Strohmaier; Roman Kern (ICDM, 2022)

Properties of Group Fairness Metrics for Rankings. - Tobias Schumacher 002; Marlene Lutz; Sandipan Sikdar; Markus Strohmaier (CoRR, 2022)

A Review of the Role of Causality in Developing Trustworthy AI Systems. - Niloy Ganguly; Dren Fazlija; Maryam Badar; Marco Fisichella; Sandipan Sikdar; Johanna Schrader; Jonas Wallat; Koustav Rudra; Manolis Koubarakis; Gourab K. Patro; Wadhah Zai El Amri; Wolfgang Nejdl (CoRR, 2023)

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. - Maryam Badar; Sandipan Sikdar; Wolfgang Nejdl; Marco Fisichella (AAAI, 2024)

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. - Jingge Xiao; Leonie Basso; Wolfgang Nejdl; Niloy Ganguly; Sandipan Sikdar (AAAI, 2024)

TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. - Maryam Badar; Sandipan Sikdar; Wolfgang Nejdl; Marco Fisichella (ECAI, 2024)

IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. - Seham Nasr; Sandipan Sikdar (ECAI, 2024)

Rethinking Evaluation Methods for Machine Unlearning. - Leon Wichert; Sandipan Sikdar (EMNLP (Findings), 2024)

Recommendation Fairness in Social Networks Over Time. - Meng Cao; Hussain Hussain; Sandipan Sikdar; Denis Helic; Markus Strohmaier; Roman Kern (CoRR, 2024)

ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness. - Dren Fazlija; Arkadij Orlov; Sandipan Sikdar (ACL (Findings), 2025)

Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. - Siddharth D. Jaiswal; Sagnik Basu; Sandipan Sikdar; Animesh Mukherjee 001 (ICWSM, 2025)

Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks. - Aparup Khatua; Tobias Kalmbach; Prasenjit Mitra; Sandipan Sikdar (SIGIR, 2025)

Fair Link Prediction With Overlapping Groups. - Manjish Pal; Sandipan Sikdar; Niloy Ganguly (IEEE Trans. Comput. Soc. Syst., 2025)

Properties of Group Fairness Measures for Rankings. - Tobias Schumacher 002; Marlene Lutz; Sandipan Sikdar; Markus Strohmaier (ACM Trans. Soc. Comput., 2025)