Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chris S. Gathercole
dblp:61/4883
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Electronic design automation · 75% Integrated circuit design · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design
analog and mixed-signal circuits |
0.0 | 1 | 2003 | Modeling nonlinear dynamics in analog circuits via root localization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003 |
Electronic design automation › circuit modeling
analog circuit modeling |
0.0 | 1 | 2003 | Modeling nonlinear dynamics in analog circuits via root localization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003 |
Electronic design automation
circuit analysis |
0.0 | 1 | 2003 | Modeling nonlinear dynamics in analog circuits via root localization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003 |
Electronic design automation › circuit analysis › analog circuit analysis
pole-zero analysis |
0.0 | 1 | 2003 | Modeling nonlinear dynamics in analog circuits via root localization · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2003 |
Methods — techniques the papers use, named apart from their topics
root localization algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Modeling nonlinear dynamics in analog circuits via root localizationabstractAn algorithm for determining when electrical circuit poles and zeros (i.e., roots) are topologically localized to a node or coupled-pair of nodes is described. Discovering this relationship provides insight to designers for circuit optimization, and is a basis upon which nonlinear dynamic behavioral models can be built. This root localization algorithm, the main contribution of this paper, facilitates the creation of models that more accurately reflect the distinctive behavior of a circuit. This is accomplished by identifying when poles and zeros can be modeled as localized effects whose values change with circuit operating conditions. The underlying modeling approach is described to provide a context for this research. The algorithm is illustrated through several examples. Chris S. Gathercole, H. Alan Mantooth |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 2 |