Moa Johansson

692 citations
47 papers · 455 · h-index 14

Impact in

Papers in

Moa Johansson

39 papers receiving 425 citations

Peers

Moa Johansson
Comparison fields: 5 of 60
  • Software 70
  • Computational Theory and Mathematics 210
  • Artificial Intelligence 284
  • Hardware and Architecture 35
  • Computer Networks and Communications 104
Replace Pascal Fontaine with:
Pascal Fontaine France
Detlef Sieling Germany
Mark Bickford United States
Luı́s Cruz-Filipe Denmark
Sebastian Nanz Switzerland
Yoav Katz Israel
Igor Konnov Austria
Paul B. Jackson United Kingdom
Yow-Jian Lin United States
Wanwei Liu China
Moa Johansson relative to Pascal Fontaine France Pascal Fontaine's profile →
Citations per field
00.5×1.5×1.8×
Pascal Fontaine · 1×
Citations per year

Countries citing papers authored by Moa Johansson

Since Specialization
Citations

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

Fields of papers citing papers by Moa Johansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moa Johansson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moa Johansson Line = papers co-authored together Moa Johansson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201356
2 201054
3 200332
4 200225
5 201524
6 201423
7 201322
8 200522
9 201719
10 201017
11 200517
12 200315
13
HipSpec: Automating Inductive Proofs of Program Properties.
201213
14 200513
15 200610
16 202210
17 20189
18 20179
19 20199
20 19677

About Moa Johansson

Moa Johansson is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Software, having authored 47 papers that have together received 455 indexed citations. Recurring topics across this work include Logic, programming, and type systems (22 papers), Formal Methods in Verification (12 papers), Advanced Database Systems and Queries (7 papers), Advanced Wireless Network Optimization (6 papers), Software Testing and Debugging Techniques (6 papers), Advanced MIMO Systems Optimization (5 papers), Mathematics, Computing, and Information Processing (5 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Software (70 citations), Computational Theory and Mathematics (210 citations), Artificial Intelligence (284 citations), Hardware and Architecture (35 citations) and Computer Networks and Communications (104 citations). Moa Johansson has collaborated with scholars based in Sweden, United Kingdom and Italy. Frequent co-authors include Nicholas Smallbone, Koen Claessen, Dan Rosén, Lucas Dixon, Alan Bundy, Mikael Sternad, Ewen Maclean, Ekaterina Komendantskaya, Jónathan Heras and M.A. Summerfield. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Lecture notes in computer science, IEEE Transactions on Information Theory, IEEE Control Systems and Journal of Functional Programming.

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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