Demo Data from SIGIR 2026 / reviewers in the wild / expert
A. B. Stephens
dblp:11/6571
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2Computer networks · 1Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Interconnection networks and networks-on-chip · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management
distributed database design |
0.0 | 1 | 1994 | Optimal Allocation for Partially Replicated Database Systems on Ring Networks · IEEE Trans. Knowl. Data Eng. 1994 |
Distributed and cloud data management › data replication
partial replication |
0.0 | 1 | 1994 | Optimal Allocation for Partially Replicated Database Systems on Ring Networks · IEEE Trans. Knowl. Data Eng. 1994 |
Interconnection networks and networks-on-chip
network topology |
0.0 | 1 | 1994 | Optimal Allocation for Partially Replicated Database Systems on Ring Networks · IEEE Trans. Knowl. Data Eng. 1994 |
Interconnection networks and networks-on-chip
ring network |
0.0 | 1 | 1994 | Optimal Allocation for Partially Replicated Database Systems on Ring Networks · IEEE Trans. Knowl. Data Eng. 1994 |
Methods — techniques the papers use, named apart from their topics
reliability analysis · 0.0expected path length optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Minimizing message complexity of partially replicated data on hypercubesabstractWithin the framework of distributed and parallel computing, we consider partially replicated data on a hypercube. We address the problem of placing copies on the hypercube in order to minimize message complexity. With realistic restrictions on the read/write ratio and the number of copies, we find the unique optimal configuration of copies. We compute the communication cost of this configuration. The optimal configuration is a linear array satisfying certain properties. © 1996 John Wiley & Sons, Inc. Keith E. Humenik, Peter Matthews, A. B. Stephens, Yelena Yesha |
Networks | 3 |
| 1995 | A Lower Bound on the Probability of Conflict Under Nonuniform Access in Database Systems
Keith E. Humenik, Peter Matthews, A. B. Stephens, Yelena Yesha |
Algorithmica | 3 |
| 1994 | Optimal Allocation for Partially Replicated Database Systems on Ring NetworksabstractConsiders a distributed database with partial replication of data objects located on a ring network. Certain placements of replicated objects are shown to optimize the probability of read-only success and the probability of write-only success. We also obtain optimal placements for k-terminal reliability and expected minimal path length for read-only and write-only operations.> A. B. Stephens, Yelena Yesha, Keith E. Humenik |
IEEE Trans. Knowl. Data Eng. | 1 |
| 1991 | Bootstrap Percolation, the Schröder Numbers, and the N-Kings ProblemabstractA percolation process on $n \times n$ 0-1matrices is defined. This process is defined so that a zero entry becomes one if two or more of its neighbors have the value one. Entries that have the value one never change. The process halts when no more entries can change. The initial matrices are taken to be all the $n \times n$ permutation matrices. It is shown that the number of matrices that eventually become all ones is given by the Schröder numbers. Asymptotically, the proportion of such matrices approaches zero. Next, matrices that exhibit no growth at all are considered. The number of such matrices is given in terms of a generating function, and the proportion of such matrices approaches $e^{ - 2} $ as n goes to infinity. The methods used involve bracketing, trees, and generating functions. Louis W. Shapiro, A. B. Stephens |
SIAM J. Discret. Math. | 2 |