| Deeptrax: Embedding graphs of financial transactions A Khazane, J Rider, M Serpe, A Gogoglou, K Hines, CB Bruss, R Serpe 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 59 | 2019 |
| Gazing at the skyline for star scientists A Sidiropoulos, A Gogoglou, D Katsaros, Y Manolopoulos Journal of Informetrics 10 (3), 789-813, 2016 | 37 | 2016 |
| Gazing at the skyline for star scientists A Sidiropoulos, A Gogoglou, D Katsaros, Y Manolopoulos Journal of Informetrics 10 (3), 789-813, 2016 | 37 | 2016 |
| Rainbow ranking: an adaptable, multidimensional ranking method for publication sets G Stoupas, A Sidiropoulos, A Gogoglou, D Katsaros, Y Manolopoulos Scientometrics 116 (1), 147-160, 2018 | 11 | 2018 |
| On the interpretability and evaluation of graph representation learning A Gogoglou, CB Bruss, KE Hines arXiv preprint arXiv:1910.03081, 2019 | 10 | 2019 |
| Early malicious activity discovery in microblogs by social bridges detection A Gogoglou, Z Theodosiou, T Kounoudes, A Vakali, Y Manolopoulos 2016 IEEE International Symposium on Signal Processing and Information …, 2017 | 7 | 2017 |
| Navigating the dynamics of financial embeddings over time A Gogoglou, B Nguyen, A Salimov, JB Rider, CB Bruss Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | 5 | 2020 |
| A scientist's impact over time: The predictive power of clustering with peers A Gogoglou, A Sidiropoulos, D Katsaros, Y Manolopoulos Proceedings of the 20th International Database Engineering & Applications …, 2016 | 4 | 2016 |
| Quantifying challenges in the application of graph representation learning A Gogoglou, CB Bruss, B Nguyen, R Sarshogh, KE Hines 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 3 | 2020 |
| Network Analysis of the Science of Science: A Case Study in SOFSEM Conference A Gogoglou, T Tsikrika, Y Manolopoulos International Conference on Current Trends in Theory and Practice of …, 2018 | 3 | 2018 |
| The fractal dimension of a citation curve: quantifying an individual’s scientific output using the geometry of the entire curve A Gogoglou, A Sidiropoulos, D Katsaros, Y Manolopoulos Scientometrics 111, 1751-1774, 2017 | 3 | 2017 |
| Predicting the evolution of scientific output A Gogoglou, Y Manolopoulos Computational Collective Intelligence: 9th International Conference, ICCCI …, 2017 | 3 | 2017 |
| Bibliometric indices for the assessment of the citation curve tail A Gogoglou, A Sidiropoulos, D Katsaros, Y Manolopoulos Proceedings of the 19th Panhellenic Conference on Informatics, 305-310, 2015 | 3 | 2015 |
| Identifying trends using embedding drift over time A Gogoglou, J Rider, B Nguyen, C Bruss US Patent App. 17/198,624, 2022 | 2 | 2022 |
| A data-driven unified framework for predicting citation dynamics A Gogoglou, Y Manolopoulos IEEE Transactions on Big Data 6 (4), 727-740, 2018 | 2 | 2018 |
| A Rainbow at the Skyline after the Storm of Indicators for Ranking Scientists. G Stoupas, A Sidiropoulos, A Gogoglou, D Katsaros, Y Manolopoulos ISSI, 1606-1607, 2017 | 1 | 2017 |
| Machine learning for locating information in knowledge graphs M Sweeney, C Bruss, A Gogoglou US Patent App. 17/227,523, 2022 | | 2022 |
| Navigating the dynamics of financial embeddings BB Antonia Gogoglou, Brian Nguyen, Alan Salimov, Jonathan Rider Graph Representation Learning and Beyond (GRL+) workshop ICML 2020, 2020 | | 2020 |
| DeepTrax: Embedding Graphs of Financial Transactions C Bayan Bruss, A Khazane, J Rider, R Serpe, A Gogoglou, KE Hines arXiv e-prints, arXiv: 1907.07225, 2019 | | 2019 |
| Rainbow ranking G Stoupas, A Sidiropoulos, A Gogoglou, D Katsaros Scientometrics, 2018 | | 2018 |
