Demo Data from EDBT 2026 / reviewers in the wild / expert
Louis Hodes
dblp:02/3954
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 1972
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Theoretical computer science
4 papers |
Computational complexity · 62% Automated reasoning and model checking · 33% Mathematical optimization · 5% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
logical complexity |
0.0 | 2 | 1970 | The Logical Complexity of Geometric Properties in the Plane · J. ACM 1970 The Logical Complexity of Geometric Properties in the Plane · STOC 1969 |
Automated reasoning and model checking
automated reasoning |
0.0 | 1 | 1971 | Solving Problems by Formula Manipulation in Logic and Linear Inequalities · IJCAI 1971 |
Computational complexity
boolean function complexity |
0.0 | 1 | 1969 | The Logical Complexity of Geometric Properties in the Plane · STOC 1969 |
Computational complexity
descriptive complexity |
0.0 | 1 | 1970 | The Logical Complexity of Geometric Properties in the Plane · J. ACM 1970 |
Computational complexity › circuit complexity
formula size |
0.0 | 1 | 1969 | The Logical Complexity of Geometric Properties in the Plane · STOC 1969 |
Mathematical optimization
linear inequalities |
0.0 | 1 | 1971 | Solving Problems by Formula Manipulation in Logic and Linear Inequalities · IJCAI 1971 |
Methods — techniques the papers use, named apart from their topics
logical complexity · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1972 | Solving Problems by Formula Manipulation in Logic and Linear Inequalities
Louis Hodes |
Artif. Intell. | 1 |
| 1971 | Solving Problems by Formula Manipulation in Logic and Linear Inequalities
Louis Hodes |
IJCAI | 1 |
| 1970 | The Logical Complexity of Geometric Properties in the Planeabstractarticle Free Access Share on The Logical Complexity of Geometric Properties in the Plane Author: Louis Hodes Department of Health, Education and Welfare, Division of Computer Research and Technology, National Institue of Health, Public Health Service, Bethesda, Maryland Department of Health, Education and Welfare, Division of Computer Research and Technology, National Institue of Health, Public Health Service, Bethesda, MarylandView Profile Authors Info & Claims Journal of the ACMVolume 17Issue 2pp 339–347https://doi.org/10.1145/321574.321587Published:01 April 1970Publication History 12citation271DownloadsMetricsTotal Citations12Total Downloads271Last 12 Months5Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Louis Hodes |
J. ACM | 1 |
| 1969 | The Logical Complexity of Geometric Properties in the PlaneabstractThis paper studies the logical complexity of geometric properties in the plane. These properties are characterized according to the length of formulas necessary to express them. In this study a portion of the plane X will be considered as a collection of squares {x1, ..., xn} arranged into a fine grid. A pattern P is a subset of X and the grid is assumed to be fine enough so that approximations to geometrical figures can be obtained. P can be defined by mapping m: X →{0,1} where for x ε X, m(x) = 1 iff x ε P. A set of patterns or a geometrical property ℘ can be expressed as a Boolean function f on the n variables x1, ..., xn such that the value of f is 1 under the assignment m iff P ε ℘. Louis Hodes |
STOC | 1 |