Maximum Rank Query
Summary: MaxRank: given a focal option, computes the highest rank achievable under any user weight vector and the weight-space regions realizing that rank. Proposes a processing approach and validates it with experiments on real and synthetic datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kyriakos Mouratidis
- 2. Jilian Zhang
- 3. HweeHwa Pang
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,090 | Reconciling Skyline and Ranking Queries | 2017 | VLDB | 5.214198e-05 |
| 6,378 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.0844506e-05 |
| 6,988 | Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size | 2021 | SIGMOD | 4.8665394e-05 |
| 8,581 | Geometric Approaches for Top-k Queries | 2017 | VLDB | 4.4874332e-05 |
| 8,812 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB | 4.4397776e-05 |
| 8,823 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD | 4.4372904e-05 |
| 9,754 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD | 4.2856385e-05 |
| 10,989 | Directional Queries: Making Top-k Queries More Effective in Discovering Relevant Results | 2024 | SIGMOD | 4.1905499e-05 |
| 11,369 | tau-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space | 2022 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,024 | Identifying the Most Influential Data Objects with Reverse Top-k Queries | 2010 | VLDB | 5.747078e-05 |
| 9,754 | On m-Impact Regions and Standing Top-k Influence Problems | 2021 | SIGMOD | 4.2856385e-05 |
| 5,074 | Branch-and-Bound Algorithm for Reverse Top-k Queries | 2013 | SIGMOD | 5.7113169e-05 |
| 10,376 | A Rank-Based Approach to Recommender System’s Top-K Queries with Uncertain Scores | 2025 | SIGMOD | 4.1905499e-05 |
| 7,966 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.6089395e-05 |
| 7,273 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD | 4.775366e-05 |
| 6,378 | Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings | 2018 | VLDB | 5.0844506e-05 |
| 6,219 | Reverse k-Ranks Query | 2014 | VLDB | 5.1458862e-05 |
| 8,812 | Creating Top Ranking Options in the Continuous Option and Preference Space | 2019 | VLDB | 4.4397776e-05 |
| 8,823 | Determining the Impact Regions of Competing Options in Preference Space | 2017 | SIGMOD | 4.4372904e-05 |