Ming Kawaguchi
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Software top 10%
- Information Systems
- Hardware and Architecture top 10%
- Co-authors
- Patrick M. RondonRanjit JhalaShuvendu K. LahiriHenrique RebêloPaul J. KellyPiyush M. PatelEric Jui‐Lin LuDavid A. Holland
- Topics
- Logic, programming, and type systems (7 papers)Security and Verification in Computing (5 papers)Parallel Computing and Optimization Techniques (4 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Programming Languages and SystemsJournal of Neurosurgical Anesthesiology
- Partner nations
- United StatesCanada
In The Last Decade
Ming Kawaguchi
11 papers receiving 119 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 93
- Computational Theory and Mathematics 52
- Software 45
- Information Systems 40
- Hardware and Architecture 30
Countries citing papers authored by Ming Kawaguchi
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
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
| # | 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 |
About Ming Kawaguchi
Ming Kawaguchi is a scholar working on Software, Hardware and Architecture and Artificial Intelligence, having authored 11 papers that have together received 129 indexed citations. Recurring topics across this work include Logic, programming, and type systems (7 papers), Security and Verification in Computing (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Software (45 citations), Hardware and Architecture (30 citations) and Computational Theory and Mathematics (52 citations). Ming Kawaguchi has collaborated with scholars based in United States and Canada. Frequent 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. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Journal of Neurosurgical Anesthesiology.
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.