Tom Maibaum

1.4k citations
48 papers · 406 indexed · h-index 12
Topics
Advanced Software Engineering Methodologies (15 papers)Model-Driven Software Engineering Techniques (12 papers)Formal Methods in Verification (11 papers)
Journals
SHILAP Revista de lepidopterologíaLecture notes in computer scienceInformation Processing Letters

In The Last Decade

Tom Maibaum

44 papers receiving 372 citations

Peers

Tom Maibaum
Comparison fields: 5 of 41
  • Artificial Intelligence 238
  • Software 172
  • Information Systems 150
  • Computational Theory and Mathematics 119
  • Computer Networks and Communications 68
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Citations per field
00.5×2.7×
Colin Snook · 1×
Citations per year

Countries citing papers authored by Tom Maibaum

Since Specialization
Citations

This map shows the geographic impact of Tom Maibaum'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 Tom Maibaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Maibaum more than expected).

Fields of papers citing papers by Tom Maibaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Maibaum. 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 Tom Maibaum. The network helps show where Tom Maibaum may publish in the future.

Co-authorship network of co-authors of Tom Maibaum

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Maibaum. A scholar is included among the top collaborators of Tom Maibaum 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 Tom Maibaum. Tom Maibaum 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
#WorkIndexed citations
1 1
2 17
3
Heterogeneous Megamodel Slicing for Model Evolution.
5
4 6
5 1
6 1
7 2
8 5
9
Formal methods and software engineering : 10th International Conference on Formal Engineering Methods, ICFEM 2008, Kitakyushu-City, Japan, October 27-31, 2008 : proceedings
1
10
Proceedings of the 15th international symposium on Formal Methods
22
11
On specifying systems that connect to the physical world
0
12 6
13 4
14 32
15
Composition of reactive system components
4
16
PSMT - Workshop on Precise Semantics for Software Modeling Techniques
2
17 2
18 40
19
Temporal reasoning over deontic specifications
14
20 5

About Tom Maibaum

Tom Maibaum is a scholar working on Software, Medical Laboratory Technology and Safety, Risk, Reliability and Quality, having authored 48 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (15 papers), Model-Driven Software Engineering Techniques (12 papers) and Formal Methods in Verification (11 papers). The work is most often cited by research in Software (172 citations), Computational Theory and Mathematics (119 citations) and Artificial Intelligence (238 citations). Tom Maibaum has collaborated with scholars based in Canada, United Kingdom and Portugal. Frequent co-authors include Theo Dimitrakos, Zinovy Diskin, Jeff Magee, José Luiz Fiadeiro, Aspassia Daskalopulu, Kaisa Sere, Jorge Cuéllar, Marsha Chećhik, Bernhard K. Aichernig and Rick Salay. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and Information Processing Letters.

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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