Eijiro Sumii

973 citations
32 papers · 441 indexed · h-index 13

Impact in

Papers in

Eijiro Sumii

31 papers receiving 416 citations

Peers

Eijiro Sumii
Comparison fields: 5 of 20
  • Computational Theory and Mathematics 218
  • Artificial Intelligence 410
  • Software 31
  • Hardware and Architecture 46
  • Information Systems 105
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Citations per year

Countries citing papers authored by Eijiro Sumii

Since Specialization
Citations

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

Fields of papers citing papers by Eijiro Sumii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Eijiro Sumii, 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 Eijiro Sumii Line = papers co-authored together Eijiro Sumii links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
20142
2 20123
3 201138
4 20102
5
Safe implementation of C pointer arithmetics by translation to java
20092
6
Proceedings of the 2008 ACM SIGPLAN workshop on ML
20081
7 200748
8 200745
9 200636
10 20053
11 200524
12 200318
13
Implementing a fail-safe ANSI-C compiler
20021
14 20026
15
An Implementation of Transparent Migration on Standard Scheme
200213
16
Fail-safe ANSI-C compiler: an approach to making C programs secure
200211
17
Online type-directed partial evaluation for dynamically-typed languages
20006
18
Online-and-offline partial evaluation: A mixed approach
20004
19
Relating Cryptography and Polymorphism
200022
20 19993

About Eijiro Sumii

Eijiro Sumii is a scholar working on Software, Computational Theory and Mathematics, Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications, having authored 32 papers that have together received 441 indexed citations. Recurring topics across this work include Logic, programming, and type systems (20 papers), Formal Methods in Verification (10 papers), Logic, Reasoning, and Knowledge (9 papers), Security and Verification in Computing (5 papers), semigroups and automata theory (4 papers), Semantic Web and Ontologies (4 papers), Distributed systems and fault tolerance (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (218 citations), Artificial Intelligence (410 citations), Software (31 citations), Hardware and Architecture (46 citations) and Information Systems (105 citations). Eijiro Sumii has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Benjamin C. Pierce, Naoki Kobayashi, Davide Sangiorgi, Akinori Yonezawa, Vasileios Koutavas, Paul Blain Levy, Hidehiko Masuhara, Reynald Affeldt, Michael Codish and C. Kato. Their work appears in journals such as ACM SIGPLAN Notices, Theoretical Computer Science, Journal of Computer Security, Journal of the ACM and LISP and Symbolic Computation.

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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