| Concentration of measure for the analysis of randomized algorithms DP Dubhashi, A Panconesi Cambridge University Press, 2009 | 1282 | 2009 |
| Balls and bins: A study in negative dependence DP Dubhashi, D Ranjan BRICS Report Series 3 (25), 1996 | 501 | 1996 |
| Extractive summarization using continuous vector space models M Kågebäck, O Mogren, N Tahmasebi, D Dubhashi Proceedings of the 2nd workshop on continuous vector space models and their …, 2014 | 272 | 2014 |
| Mathematical models for covid-19 pandemic: a comparative analysis A Adiga, D Dubhashi, B Lewis, M Marathe, S Venkatramanan, A Vullikanti Journal of the Indian Institute of Science 100 (4), 793-807, 2020 | 226 | 2020 |
| Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons D Dubhashi, A Mei, A Panconesi, J Radhakrishnan, A Srinivasan Journal of Computer and System Sciences 71 (4), 467-479, 2005 | 202 | 2005 |
| The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination P Norberg, M Bergström, V Jethava, D Dubhashi, M Hermansson Nature communications 2 (1), 268, 2011 | 144 | 2011 |
| Bridging the gap between systems biology and medicine G Clermont, C Auffray, Y Moreau, DM Rocke, D Dalevi, D Dubhashi, ... Genome medicine 1, 1-6, 2009 | 84 | 2009 |
| Global graph kernels using geometric embeddings F Johansson, V Jethava, D Dubhashi, C Bhattacharyya International Conference on Machine Learning, 694-702, 2014 | 73 | 2014 |
| Entity disambiguation in anonymized graphs using graph kernels L Hermansson, T Kerola, F Johansson, V Jethava, D Dubhashi Proceedings of the 22nd ACM international conference on Information …, 2013 | 72 | 2013 |
| Near-optimal, distributed edge colouring via the nibble method D Dubhashi, DA Grable, A Panconesi Theoretical Computer Science 203 (2), 225-252, 1998 | 68 | 1998 |
| Clustering by sum of norms: Stochastic incremental algorithm, convergence and cluster recovery A Panahi, D Dubhashi, FD Johansson, C Bhattacharyya International conference on machine learning, 2769-2777, 2017 | 56 | 2017 |
| Controlling gene expression with deep generative design of regulatory DNA J Zrimec, X Fu, AS Muhammad, C Skrekas, V Jauniskis, NK Speicher, ... Nature communications 13 (1), 5099, 2022 | 53 | 2022 |
| Learning with similarity functions on graphs using matchings of geometric embeddings FD Johansson, D Dubhashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 47 | 2015 |
| AI dangers: Imagined and real D Dubhashi, S Lappin Communications of the ACM 60 (2), 43-45, 2017 | 39 | 2017 |
| Blue pleiades, a new solution for device discovery and scatternet formation in multi-hop Bluetooth networks D Dubhashi, O Häggström, G Mambrini, A Panconesi, C Petrioli Wireless Networks 13, 107-125, 2007 | 38 | 2007 |
| Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures D Dalevi, D Dubhashi, M Hermansson Bioinformatics 22 (5), 517-522, 2006 | 38 | 2006 |
| Thompson sampling for stochastic bandits with graph feedback A Tossou, C Dimitrakakis, D Dubhashi Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 34 | 2017 |
| Bayesian optimization in ab initio nuclear physics A Ekström, C Forssén, C Dimitrakakis, D Dubhashi, HT Johansson, ... Journal of Physics G: Nuclear and Particle Physics 46 (9), 095101, 2019 | 31 | 2019 |
| Negative dependence through the FKG inequality DP Dubhashi, V Priebe, D Ranjan Max-Planck-Institut für Informatik, 1996 | 31 | 1996 |
| Positive influence and negative dependence D Dubhashi, J Jonasson, D Ranjan Combinatorics, Probability and Computing 16 (1), 29-41, 2007 | 29 | 2007 |
