BibTeX Export for Asymptotically Optimal Bounds for Estimating H-Index in Sublinear Time with Applications to Subgraph Counting

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@InProceedings{assadi_et_al:LIPIcs.APPROX/RANDOM.2022.48,
  author =	{Assadi, Sepehr and Nguyen, Hoai-An},
  title =	{{Asymptotically Optimal Bounds for Estimating H-Index in Sublinear Time with Applications to Subgraph Counting}},
  booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2022)},
  pages =	{48:1--48:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-249-5},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{245},
  editor =	{Chakrabarti, Amit and Swamy, Chaitanya},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2022.48},
  URN =		{urn:nbn:de:0030-drops-171708},
  doi =		{10.4230/LIPIcs.APPROX/RANDOM.2022.48},
  annote =	{Keywords: Sublinear time algorithms, h-index, asymptotically optimal bounds, lower bounds, subgraph counting}
}

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