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Hermann Grassmann: Works, Mathematician & Biography
Hermann Günther Grassmann (German: Graßmann, pronounced [ˈhɛʁman ˈɡʏntɐ ˈɡʁasman]; 15 April 1809 – 26 September 1877) was a German polymath known in his day as a linguist and now also as a mathematician. He was also a physicist, general scholar, and publisher. His mathematical work was little noted until he was in his sixties. His work preceded and…
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Hermann Grassmann topic overview
The analysis highlights Works, Mathematician and Biography as prominent areas in the source structure around Hermann Grassmann.
Related topics
85
Source areas
6
Connected nodes
91
Extracted relationships
197
Concept neighborhoods
30
Bridge connections
91
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Mathematician · 33 topics
Biography · 17 topics
Response · 15 topics
Linguist · 8 topics
Overview · 7 topics
Publications · 5 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Known for
Bivector · Color space · Grassmannian · Grassmann algebra · Grassmann number
Alma mater
University of Berlin
Awards
PhD (Hon): University of Tübingen (1876)
Academic advisors
Friedrich Schleiermacher
Born
Hermann Günther Grassmann (1809-04-15)15 April 1809 Stettin, Province of Pomerania, Kingdom of Prussia (present-day Szczecin, Poland)
Died
26 September 1877(1877-09-26) (aged 68) Stettin, Province of Pomerania, Kingdom of Prussia, German Empire
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Hermann Grassmann connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Hermann Grassmann shows recurring relationship patterns in the source. For example, Hermann Grassmann → Albert, America, Area, August, Ausdehnungslehre, Australia, Automated Deduction, Barnard Publishing, Basel, BFb0022724, Birkhäuser, Boston Studies, Browne, Cantor, Cantù, Computer Science, Context, Crowe, Desmond, Dongming Another extracted example is Hermann Grassmann → An English, Burali-Forti, Cesare Burali-Forti, Context, DE, Differential Geometry, Discusses, Edmund, English, Fearnley-Sander's, From Past, Future, Grassmann, Grassmann Bicentennial Conference, Grassmann's, Grassmann's Work, Introduction, John, MacTutor History, Mathematics. Use these groups to spot repeated connection types before inspecting the individual relationships.
Hermann Grassmann → Bivector, Color space, Grassmann algebra, Grassmann number, Grassmann's law, Grassmann's laws, Grassmannian
see also· 3
Hermann Grassmann → Ampère's, Geometric, Grassmann
Academic advisors· 1
Hermann Grassmann → Friedrich Schleiermacher
Alma mater· 1
Hermann Grassmann → University of Berlin
Awards· 1
Hermann Grassmann → PhD (Hon): University of Tübingen (1876)
Born· 1
Hermann Grassmann → Hermann Günther Grassmann (1809-04-15)15 April 1809 Stettin, Province of Pomerania, Kingdom of Prussia (present-day Szczecin, Poland)
Died· 1
Hermann Grassmann → 26 September 1877(1877-09-26) (aged 68) Stettin, Province of Pomerania, Kingdom of Prussia, German Empire
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Hermann Grassmann relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 197 structured relationships around Hermann Grassmann. Examples in this analysis include Hermann Grassmann → Academic advisors → Friedrich Schleiermacher and Hermann Grassmann → Alma mater → University of Berlin. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Hermann Grassmann
Academic advisors
Friedrich Schleiermacher
1.00
infobox
Hermann Grassmann
Alma mater
University of Berlin
1.00
infobox
Hermann Grassmann
Awards
PhD (Hon): University of Tübingen (1876)
1.00
infobox
Hermann Grassmann
Born
Hermann Günther Grassmann (1809-04-15)15 April 1809 Stettin, Province of Pomerania, Kingdom of Prussia (present-day Szczecin, Poland)
1.00
infobox
Hermann Grassmann
Died
26 September 1877(1877-09-26) (aged 68) Stettin, Province of Pomerania, Kingdom of Prussia, German Empire
1.00
infobox
Hermann Grassmann
Fields
Linguistics, mathematics
1.00
infobox
Hermann Grassmann
Known for
Bivector
1.00
infobox
Hermann Grassmann
Known for
Color space
1.00
infobox
Hermann Grassmann
Known for
Grassmannian
1.00
infobox
Hermann Grassmann
Known for
Grassmann algebra
1.00
infobox
Hermann Grassmann
Known for
Grassmann number
1.00
infobox
Hermann Grassmann
Known for
Grassmann's law
1.00
infobox
Hermann Grassmann
Known for
Grassmann's laws
1.00
infobox
Hermann Grassmann
Notable students
Paul Carus
1.00
infobox
Hermann Grassmann
Workplaces
Stettin Gymnasium
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Hermann Grassmann bring nearby vocabulary together. In this analysis, examples include Hermann, Linear and University. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Hermann Grassmann
Hermann
Linear
University
Known
Algebra
Mathematics
Theory
Wrote
Extension
Geometry
Space
Stettin
hermann grassmann
Hermann
Algebra
Linear
University
Mathematics
Known
Theory
Grassmann's
Published
Wrote
Extension
Geometry
german unification
Stettin
Also
Die
Hermann
Known
Now
One
Und
Ausdehnungslehre
Algebra
Mathematics
Gymnasium
linear algebra
Exterior
Vector
Space
Algebra
Linear
Theory
Extension
Grassmann
Known
Grassmann's
One
Published
linear space
Vector
Linear
Space
Algebra
Published
Theory
Now
New
Gymnasium
Mathematics
Extension
First
hermann weyl
Linear
University
Known
Algebra
Mathematics
Space
Stettin
Grassmann's
Und
Also
Published
Gymnasium
exterior algebra
Exterior
Linear
Theory
Geometry
Vector
Extension
One
Grassmann
Known
Space
Grassmann's
Hermann
abstract algebra
Exterior
Linear
Theory
Vector
Extension
Grassmann
Known
Space
Grassmann's
One
Geometry
Hermann
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Hermann Grassmann, one of the stronger structural bridges in this analysis connects Hermann Grassmann with Mathematician. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Hermann Grassmann
Nodes92
Edges91
Triples197
Avg. degree1.98
Density0.021739
Components1
Source & methodology
TTTA analyzes the structure around Hermann Grassmann to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Mathematician & Biography, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
