Ursula Martin

1.2k total citations
47 papers, 383 citations indexed

About

Ursula Martin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Ursula Martin has authored 47 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 21 papers in Artificial Intelligence and 5 papers in Computer Science Applications. Recurrent topics in Ursula Martin's work include Logic, programming, and type systems (15 papers), semigroups and automata theory (10 papers) and Formal Methods in Verification (9 papers). Ursula Martin is often cited by papers focused on Logic, programming, and type systems (15 papers), semigroups and automata theory (10 papers) and Formal Methods in Verification (9 papers). Ursula Martin collaborates with scholars based in United Kingdom, United States and Germany. Ursula Martin's co-authors include Tobias Nipkow, Alison Pease, Laura Meagher, Jeremy Dick, Elizabeth Scott, Andrew Aberdein, Stephen Linton, Andrew A. Adams, Tom Kelsey and Christopher Hollings and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Theoretical Computer Science and Bulletin of the American Mathematical Society.

In The Last Decade

Ursula Martin

43 papers receiving 341 citations

Peers

Ursula Martin
Comparison fields: 5 of 79
  • Artificial Intelligence 215
  • Computational Theory and Mathematics 200
  • Discrete Mathematics and Combinatorics 40
  • Software 39
  • Information Systems 34
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Citations per field, relative to Ursula Martin
Ursula Martin · 1×
Citations per year, relative to Ursula Martin
Ursula Martin · 1×

Countries citing papers authored by Ursula Martin

Since Specialization
Citations

This map shows the geographic impact of Ursula Martin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ursula Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Martin more than expected).

Fields of papers citing papers by Ursula Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula Martin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ursula Martin. The network helps show where Ursula Martin may publish in the future.

Co-authorship network of co-authors of Ursula Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Martin. A scholar is included among the top collaborators of Ursula Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ursula Martin. Ursula Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 5
3 3
4
Opportunities and Challenges in 21st Century Mathematical Computation: ICERM Workshop Report
0
5
Women in Computing
2
6 6
7 4
8 4
9
A maple−pvs interface
1
10
Computer algebra meets automated theorem proving: A maple−pvs interface
2
11 2
12 7
13 4
14
A ProCos Project Description: Esprit BRA 3104
8
15 52
16 16
17 68
18 15
19
Unification in Boolean Rings an Unquantified Formulae of First Order Predicate Calculus
1
20
Doing algebra with REVE
2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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