Ming Kawaguchi

533 total citations
11 papers, 129 citations indexed

About

Ming Kawaguchi is a scholar working on Artificial Intelligence, Hardware and Architecture and Software. According to data from OpenAlex, Ming Kawaguchi has authored 11 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Hardware and Architecture and 4 papers in Software. Recurrent topics in Ming Kawaguchi's work include Logic, programming, and type systems (7 papers), Security and Verification in Computing (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Ming Kawaguchi is often cited by papers focused on Logic, programming, and type systems (7 papers), Security and Verification in Computing (5 papers) and Parallel Computing and Optimization Techniques (4 papers). Ming Kawaguchi collaborates with scholars based in United States and Canada. Ming Kawaguchi's co-authors include Patrick M. Rondon, Ranjit Jhala, Shuvendu K. Lahiri, Henrique Rebêlo, Paul J. Kelly, Piyush M. Patel, Eric Jui‐Lin Lu, David A. Holland, Margo Seltzer and Chris Hawblitzel and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Journal of Neurosurgical Anesthesiology.

In The Last Decade

Ming Kawaguchi

11 papers receiving 119 citations

Peers

Ming Kawaguchi
Comparison fields: 5 of 22
  • Artificial Intelligence 93
  • Computational Theory and Mathematics 52
  • Software 45
  • Information Systems 40
  • Hardware and Architecture 30
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Tal Lev-Ami Israel
Andreas Holzer Austria
Damiano Zanardini Spain
Aina Niemetz Austria
Dilian Gurov Sweden
Morgan Deters United States
Jorge A. Navas United States
Robert Brummayer Austria
Grigory Fedyukovich United States
Mathias Preiner Austria
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Citations per field, relative to Ming Kawaguchi
Ming Kawaguchi · 1×
Citations per year, relative to Ming Kawaguchi
Ming Kawaguchi · 1×

Countries citing papers authored by Ming Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Kawaguchi. A scholar is included among the top collaborators of Ming Kawaguchi 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 Ming Kawaguchi. Ming Kawaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 7
3 3
4 9
5
Mutual Summaries: Unifying Program Comparison Techniques
2
6 35
7 1
8
Conditional equivalence
21
9 1
10 46
11 3

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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