Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Thomas E. Cravens

Thomas E. Cravens is an American space physicist and Professor Emeritus in the Department of Physics and Astronomy at the University of Kansas. He is known for developing the widely accepted model explaining the emission of X-rays from comets, a phenomenon discovered unexpectedly in 1996.

Works, Research, Career & Art

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Thomas E. Cravens. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Known for
Cometary X-ray emission model Solar wind interactions with planets and comets
Alma mater
Harvard University (Ph.D.) State University of New York at Stony Brook (B.A.)
Awards
Fellow of the AAAS (2018) Higuchi Award (2005) Fellow of AGU (2001) AGU Editors' Citation for Excellence in Refereeing (2003)
Doctoral advisor
Alex Dalgarno
Fields
Space physics, Planetary science
Workplaces
University of Kansas University of Michigan

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Early life and education

Career

Cometary X-ray emission

Other research

Awards and recognition

  • AAAS American Association for the Advancement of Science
  • Higuchi Award Higuchi Award?action=edit&redlink=1
  • AGU American Geophysical Union

Selected publications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Thomas E. Cravens

Nodes36
Edges35
Triples9
Avg. degree1.94
Density0.055556
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Thomas E. Cravens

Top relations

Alma mater · 1
Thomas E. Cravens → Harvard University (Ph.D.) State University of New York at Stony Brook (B.A.)
Awards · 1
Thomas E. Cravens → Fellow of the AAAS (2018) Higuchi Award (2005) Fellow of AGU (2001) AGU Editors' Citation for Excellence in Refereeing (2003)
Doctoral advisor · 1
Thomas E. Cravens → Alex Dalgarno
Fields · 1
Thomas E. Cravens → Space physics, Planetary science
Known for · 1
Thomas E. Cravens → Cometary X-ray emission model Solar wind interactions with planets and comets
Workplaces · 1
Thomas E. Cravens → University of Kansas University of Michigan

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

university cravens physics space solar wind planetary cometary x-ray emission comets model x-rays state research kansas mars saturn doi 10

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Thomas E. CravensAlma materHarvard University (Ph.D.) State University of New York at Stony Brook (B.A.)1.00infobox
Thomas E. CravensAwardsFellow of the AAAS (2018) Higuchi Award (2005) Fellow of AGU (2001) AGU Editors' Citation for Excellence in Refereeing (2003)1.00infobox
Thomas E. CravensDoctoral advisorAlex Dalgarno1.00infobox
Thomas E. CravensFieldsSpace physics, Planetary science1.00infobox
Thomas E. CravensKnown forCometary X-ray emission model Solar wind interactions with planets and comets1.00infobox
Thomas E. CravensWorkplacesUniversity of Kansas University of Michigan1.00infobox
O6instance ofThe solar wind contains ions0.80text
NASA Astrophysics Data System.instance of00051-8.A more extensive list of publications is available through databases0.80text
Google Scholarinstance of00051-8.A more extensive list of publications is available through databases0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.