PapersFlow Research Brief

Physical Sciences · Mathematics

Mathematics and Applications
Research Guide

What is Mathematics and Applications?

Mathematics and Applications in Geometry and Topology is a field encompassing geometric mathematics topics such as hyperbolic geometry, loops, billiards in ellipses, Poncelet's theorem, Moufang loops, trigonometry, algebraic structures, and their uses in relativity and inversive geometry.

This field includes 139,462 works with no specified 5-year growth rate. Key areas cover hyperbolic geometry, algebraic loops like Moufang loops, and applications in relativity. Foundational texts address lines and planes of closest fit, category theory, and differential geometry.

Topic Hierarchy

100%
graph TD D["Physical Sciences"] F["Mathematics"] S["Geometry and Topology"] T["Mathematics and Applications"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
Scroll to zoom • Drag to pan
139.5K
Papers
N/A
5yr Growth
746.6K
Total Citations

Research Sub-Topics

Why It Matters

Mathematics and Applications provides tools for analyzing spatial data and relations between variates, with direct impacts in statistics and sciences. Karl Pearson (1901) introduced lines and planes of closest fit to systems of points in space, cited 11,290 times, enabling principal component analysis used in data reduction across biology and physics. Harold Hotelling (1936) developed relations between two sets of variates, cited 5,351 times, forming the basis for canonical correlation analysis applied in multivariate statistics for fields like economics and genetics. Recent NSF investment of over $74 million supports six mathematical sciences research institutes exploring applications from medical care to exoplanet detection. AI initiatives, including an $18 million AI For Math Fund and $64 million for Axiom Math, advance computational geometry tools.

Reading Guide

Where to Start

'LIII. On lines and planes of closest fit to systems of points in space' by Karl Pearson (1901), as it offers an accessible entry to geometric fitting methods with 11,290 citations and direct statistical applications.

Key Papers Explained

Karl Pearson (1901) establishes geometric fitting in 'LIII. On lines and planes of closest fit to systems of points in space', which Hotelling (1936) extends multivariately in 'RELATIONS BETWEEN TWO SETS OF VARIATES'. Saunders Mac Lane (1971) provides categorical foundations in 'Categories for the Working Mathematician', underpinning Griffiths and Harris (1994) in 'Principles of Algebraic Geometry'. Kobayashi and Nomizu (1963) in 'Foundations of Differential Geometry' connects to Bridson and Haefliger (1999) on 'Metric Spaces of Non-Positive Curvature', building differential tools for curvature studies.

Paper Timeline

100%
graph LR P0["LIII. On lines and planes of ...
1901 · 11.3K cites"] P1["RELATIONS BETWEEN TWO SETS OF VA...
1936 · 5.4K cites"] P2["Foundations of Differential Geom...
1963 · 6.1K cites"] P3["Categories for the Working Mathe...
1971 · 9.0K cites"] P4["Real and Complex Analysis.
1987 · 10.9K cites"] P5["Geometric Measure Theory
1988 · 5.3K cites"] P6["Principles of Algebraic Geometry
1994 · 6.5K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P0 fill:#DC5238,stroke:#c4452e,stroke-width:2px
Scroll to zoom • Drag to pan

Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Recent preprints in 'Journal of Mathematical Analysis and Applications' and 'Mathematical and Computational Applications' focus on nonlinear analysis and computational techniques. News covers NSF's $74 million for institutes applying math to medical care and exoplanets, plus AI For Math Fund's $18 million grants and Axiom Math's $64 million for AI in geometry.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 LIII. <i>On lines and planes of closest fit to systems of poin... 1901 The London Edinburgh a... 11.3K
2 Real and Complex Analysis. 1987 Journal of the Royal S... 10.9K
3 Categories for the Working Mathematician 1971 Graduate texts in math... 9.0K
4 Principles of Algebraic Geometry 1994 6.5K
5 Foundations of Differential Geometry 1963 6.1K
6 RELATIONS BETWEEN TWO SETS OF VARIATES 1936 Biometrika 5.4K
7 Geometric Measure Theory 1988 Elsevier eBooks 5.3K
8 Metric Spaces of Non-Positive Curvature 1999 Grundlehren der mathem... 4.6K
9 Commutative algebra with a view toward algebraic geometry 1996 Choice Reviews Online 4.1K
10 Bounded Analytic Functions. 1982 American Mathematical ... 3.6K

In the News

Code & Tools

Recent Preprints

Latest Developments

Recent developments in Mathematics and Applications research include advances in quantum geometry inside materials, which influences electron behavior and parallels gravitational effects (ScienceDaily, Feb 1, 2026), progress in understanding complex systems through AI, such as uncovering simple rules in chaos and improving disease detection (ScienceDaily, Jan 2026), and significant breakthroughs like settling the geometric Langlands conjecture, bringing mathematics closer to a grand unified theory (Quanta Magazine, July 2024; Nature, July 2025). Additionally, major conferences and events are scheduled for 2026, including the International Congress of Mathematicians in July (IMU, 2026) and ongoing research on PDE singularities and algebraic theories (arXiv, Sep-Dec 2025) (ScienceDaily, Quanta Magazine, Nature).

Frequently Asked Questions

What is the most cited work in Mathematics and Applications?

Karl Pearson's 'LIII. On lines and planes of closest fit to systems of points in space' (1901) holds 11,290 citations. It establishes methods for finding optimal lines and planes through point sets in space. This work underpins principal component analysis in multidimensional data fitting.

How does category theory apply in this field?

Saunders Mac Lane's 'Categories for the Working Mathematician' (1971) provides the framework, with 8,983 citations. It structures algebraic and geometric concepts through categories, functors, and natural transformations. Applications include unifying topology and geometry.

What role does differential geometry play?

Shôshichi Kobayashi and Katsumi Nomizu's 'Foundations of Differential Geometry' (1963) lays the groundwork, cited 6,086 times. It covers manifolds, connections, and curvature essential for relativity and inversive geometry. The two-volume set builds tensor analysis for geometric applications.

What are key applications in statistics from this field?

Harold Hotelling's 'RELATIONS BETWEEN TWO SETS OF VARIATES' (1936) introduces canonical correlations, with 5,351 citations. It measures associations between multivariate datasets. This method applies to biometrics and social sciences data analysis.

What is the current state of journals in this area?

Recent preprints highlight active journals like 'Journal of Mathematical Analysis and Applications' and 'Mathematical and Computational Applications'. They publish on algebra, topology, nonlinear analysis, and computational techniques. Open access models support broad dissemination.

How many works exist in this cluster?

The cluster contains 139,462 papers. Topics span geometry, hyperbolic structures, loops, and billiards. No 5-year growth rate is specified in the data.

Open Research Questions

  • ? How can hyperbolic geometry and inversive geometry be unified in higher-dimensional relativity models?
  • ? What new algebraic structures beyond Moufang loops arise in elliptic billiards and Poncelet's theorem?
  • ? How do recent computational tools extend classical results like Pearson's closest fit planes to dynamic systems?
  • ? Which metric spaces of non-positive curvature best model applications in topological data analysis?
  • ? What homological methods from commutative algebra resolve open problems in algebraic geometry?

Research Mathematics and Applications with AI

PapersFlow provides specialized AI tools for Mathematics researchers. Here are the most relevant for this topic:

See how researchers in Physics & Mathematics use PapersFlow

Field-specific workflows, example queries, and use cases.

Physics & Mathematics Guide

Start Researching Mathematics and Applications with AI

Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.

See how PapersFlow works for Mathematics researchers

Curated by PapersFlow Research Team · Last updated: February 2026

Academic data sourced from OpenAlex, an open catalog of 474M+ scholarly works · Web insights powered by Exa Search

Editorial summaries on this page were generated with AI assistance and reviewed for accuracy against the source data. Paper metadata, citation counts, and publication statistics come directly from OpenAlex. All cited papers link to their original sources.