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Physical Sciences · Computer Science

Mathematics, Computing, and Information Processing
Research Guide

What is Mathematics, Computing, and Information Processing?

Mathematics, Computing, and Information Processing is the development and improvement of information retrieval systems tailored for mathematical content, including semantic representation of mathematical expressions, search interfaces for mathematicians, retrieval of scientific documents with mathematical content, and math question answering systems.

This field encompasses 141,905 works focused on mathematical information retrieval, math search, math formulae, and semantic representation. Key areas include digital libraries, math knowledge management, mathematical expressions, and information retrieval systems that account for textual context. It supports math question answering through specialized computational methods.

Topic Hierarchy

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graph TD D["Physical Sciences"] F["Computer Science"] S["Computational Theory and Mathematics"] T["Mathematics, Computing, and Information Processing"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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141.9K
Papers
N/A
5yr Growth
79.6K
Total Citations

Research Sub-Topics

Why It Matters

These systems enable mathematicians to efficiently search and retrieve documents containing complex formulae, as seen in efforts to build annotated corpora like the Penn Treebank with over 4 million words of tagged text by Marcus et al. (1993). In practice, tools such as the Crystallography Open Database provide open access to ∼80,000 crystal structure entries (Gražulis et al., 2009), aiding materials science research. Numerical classification methods from Sneath and Sokal (1973) with 5098 citations underpin taxonomy applications across biology and chemistry, while recent NSF investments of over $74 million in six mathematical sciences institutes demonstrate funding for broad impacts from medical care improvements to exoplanet detection.

Reading Guide

Where to Start

"Building a Large Annotated Corpus of English: The Penn Treebank" by Marcus (1993), as it provides foundational annotated data techniques applicable to mathematical document processing and has the highest 7489 citations.

Key Papers Explained

"Building a Large Annotated Corpus of English: The Penn Treebank" (Marcus, 1993) establishes annotated corpora methods, which connect to classification in "Numerical Taxonomy: The Principles and Practice of Numerical Classification" (Sneath and Sokal, 1973; Corliss et al., 1974). "Term Rewriting and All That" (Baader and Nipkow, 1998) builds symbolic computation foundations, while "Crystallography Open Database – an open-access collection of crystal structures" (Gražulis et al., 2009) demonstrates practical open database applications drawing on these numerical and structural techniques.

Paper Timeline

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graph LR P0["Numerical Taxonomy: The Principl...
1973 · 5.1K cites"] P1["Numerical Taxonomy: The Principl...
1974 · 3.4K cites"] P2["Free software helps map and disp...
1991 · 4.1K cites"] P3["Building a Large Annotated Corpu...
1993 · 7.5K cites"] P4["Term Rewriting and All That
1998 · 2.1K cites"] P5["Crystallography Open Database – ...
2009 · 1.7K cites"] P6["Instance Normalization: The Miss...
2016 · 3.1K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P3 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Recent preprints cover "Mathematical discovery in the age of artificial intelligence" and histories of QED and MACSYMA systems for automating mathematics. News highlights DARPA’s Exponentiating Mathematics for AI coauthors, the 2025 pi computation record, AI for Math Fund by XTX Markets, NSF’s $74 million in mathematical institutes, and ERC’s 6.4 million euros for Lean formalization in Harmonic Analysis.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Building a Large Annotated Corpus of English: The Penn Treebank 1993 7.5K
2 Numerical Taxonomy: The Principles and Practice of Numerical C... 1973 5.1K
3 Free software helps map and display data 1991 Eos 4.1K
4 Numerical Taxonomy: The Principles and Practice of Numerical C... 1974 Transactions of the Am... 3.4K
5 Instance Normalization: The Missing Ingredient for Fast Styliz... 2016 arXiv (Cornell Univers... 3.1K
6 Term Rewriting and All That 1998 Cambridge University P... 2.1K
7 Crystallography Open Database – an open-access collection of c... 2009 Journal of Applied Cry... 1.7K
8 Le test de copie d'une figure complexe 1944 Medical Entomology and... 1.6K
9 The calculi of lambda-conversion 1941 Medical Entomology and... 1.2K
10 ALSCRIPT: a tool to format multiple sequence alignments 1993 Protein Engineering De... 1.1K

In the News

Code & Tools

GitHub - numpy/numpy: The fundamental package for scientific computing with Python.
github.com

NumPy is the fundamental package for scientific computing with Python. * **Website:** https://numpy.org * **Documentation:** https://numpy.org/doc

GitHub - LibRapid/librapid: A highly optimised C++ library for mathematical applications and neural networks.
github.com

LibRapid is an extremely fast, highly-optimised and easy-to-use C++ library for mathematics, linear algebra and more, with an extremely powerful mu...

GitHub - gonum/gonum: Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
github.com

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more www.go...

GitHub - cvxpy/cvxpy: A Python-embedded modeling language for convex optimization problems.
github.com

CVXPY is a Python-embedded modeling language for convex optimization problems. It allows you to express your problem in a natural way that follows ...

GitHub - stillwater-sc/universal: Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
github.com

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning,...

Recent Preprints

Latest Developments

Recent developments in mathematics, computing, and information processing as of February 2, 2026, include breakthroughs in quantum computing such as the creation of miniature optical cavities to scale up quantum computers (ScienceDaily), advances in hybrid quantum algorithms that leverage GPUs to significantly reduce runtimes (The Quantum Insider), and the identification of key trends for quantum computing in 2026, including error correction and industrial applications (The Quantum Insider). Additionally, progress has been made in photonic computer chips using light for mathematical processing (Science News), and mathematical research continues with collaborative projects and AI-assisted constructions (arXiv, arXiv). Notably, a major proof related to a grand unified theory in mathematics was announced in July 2025 (Nature).

Frequently Asked Questions

What is the focus of mathematical information retrieval?

Mathematical information retrieval develops systems for searching mathematical content, including semantic representation of expressions and retrieval of documents with formulae. It addresses challenges in math search interfaces and question answering. The field includes 141,905 works on topics like digital libraries and math knowledge.

How does the Penn Treebank contribute to this field?

"Building a Large Annotated Corpus of English: The Penn Treebank" by Marcus (1993) provides over 4 million words of running text annotated with part-of-speech tags and skeletal grammatical structure. This corpus supports natural language processing for mathematical documents. It has 7489 citations.

What role do numerical taxonomy methods play?

"Numerical Taxonomy: The Principles and Practice of Numerical Classification" by Sneath and Sokal (1973) outlines principles for numerical classification, cited 5098 times. These methods apply to clustering mathematical and scientific data. A related 1974 version by Corliss et al. has 3445 citations.

What is the Crystallography Open Database?

"Crystallography Open Database – an open-access collection of crystal structures" by Gražulis et al. (2009) gathers ∼80,000 entries of inorganic, metal-organic, and small organic molecule structures. It uses an open-access model for crystallographic information. The database has 1687 citations.

What are key tools for computing in this area?

NumPy serves as the fundamental package for scientific computing with Python, supporting numerical operations essential for math processing. Gonum provides numeric libraries for Go, including matrices and statistics. CVXPY models convex optimization problems in a natural mathematical syntax.

What is term rewriting in this context?

"Term Rewriting and All That" by Baader and Nipkow (1998) introduces abstract reduction systems, termination, confluence, and completion for term rewriting. It covers universal algebra and unification problems relevant to symbolic computation. The book has 2104 citations.

Open Research Questions

  • ? How can semantic representations of mathematical expressions improve retrieval accuracy in large digital libraries?
  • ? What methods enhance math question answering systems using textual context and formulae?
  • ? How do formal verification tools like Lean integrate with mathematical discovery processes?
  • ? Which computational techniques scale numerical classification for massive mathematical datasets?
  • ? How can AI coauthors exponentially accelerate progress in mathematical theorem proving?

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