Demo Data from EDBT 2026 / reviewers in the wild / expert
Mohamed Aboutabl
dblp:07/1606
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 77% Performance modeling and evaluation · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › i/o architecture › i/o subsystem
disk access |
0.0 | 1 | 1998 | Temporally Determinate Disk Access: An Experimental Approach (Extended Abstract) · SIGMETRICS 1998 |
Performance modeling and evaluation
benchmarking |
0.0 | 1 | 1998 | Temporally Determinate Disk Access: An Experimental Approach (Extended Abstract) · SIGMETRICS 1998 |
Methods — techniques the papers use, named apart from their topics
experimental measurement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Software environment for integrating critical real-time control systems
Mohamed F. Younis, Mohamed Aboutabl, Daeyoung Kim 0001 |
J. Syst. Archit. | 2 |
| 1998 | Temporally Determinate Disk Access: An Experimental Approach (Extended Abstract)abstractNo abstract available. Mohamed Aboutabl, Ashok K. Agrawala, Jean-Dominique Decotignie |
SIGMETRICS | 1 |
| 1996 | Neural network approach for solving the maximal common subgraph problemabstractA new formulation of the maximal common subgraph problem (MCSP), that is implemented using a two-stage Hopfield neural network, is given. Relative merits of this proposed formulation, with respect to current neural network-based solutions as well as classical sequential-search-based solutions, are discussed. Amin A. Shoukry, Mohamed Aboutabl |
IEEE Trans. Syst. Man Cybern. Part B | 2 |