Stephen T. Heumann
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
- Embedded Systems Design Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Logic, programming, and type systems 10
- Co-authors
- Vikram Adve (11 shared papers)Sarita V. Adve (4 shared papers)Robert L. Bocchino (5 shared papers)Mohsen Vakilian (5 shared papers)Hyojin Sung (3 shared papers)Rakesh Komuravelli (3 shared papers)Danny Dig (3 shared papers)Jeffrey L. Overbey (3 shared papers)
- Journals
- ACM SIGPLAN Notices (3 papers)Automated Software Engineering (1 paper)Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (1 paper)ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) (1 paper)ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen T. Heumann
11 papers receiving 580 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 178
- Software 45
- Artificial Intelligence 206
- Computer Networks and Communications 37
- Computer Science Applications 2
Countries citing papers authored by Stephen T. Heumann
This map shows the geographic impact of Stephen T. Heumann'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 Stephen T. Heumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Heumann more than expected).
Fields of papers citing papers by Stephen T. Heumann
This network shows the impact of papers produced by Stephen T. Heumann. 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 Stephen T. Heumann. The network helps show where Stephen T. Heumann may publish in the future.
Co-authors
The 15 scholars most cited alongside Stephen T. Heumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 232 | |
| 2 | 2009 | 230 | |
| 3 | 2011 | 61 | |
| 4 | 2011 | 49 | |
| 5 | 2013 | 19 | |
| 6 | 2012 | 3 | |
| 7 | 2015 | 3 | |
| 8 | A Type and Effect System for Deterministic Parallelism in Object-Oriented Languages | 2009 | 1 |
| 9 | 2013 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2019 | 1 |
About Stephen T. Heumann
Stephen T. Heumann is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 601 indexed citations. Recurring topics across this work include Logic, programming, and type systems (10 papers). The work is most often cited by research in Hardware and Architecture (178 citations), Software (45 citations), Artificial Intelligence (206 citations), Computer Networks and Communications (37 citations) and Computer Science Applications (2 citations). Stephen T. Heumann has collaborated with scholars based in United States. Frequent co-authors include Vikram Adve, Sarita V. Adve, Robert L. Bocchino, Mohsen Vakilian, Hyojin Sung, Rakesh Komuravelli, Danny Dig, Jeffrey L. Overbey, Patrick Simmons and Nima Honarmand. Their work appears in journals such as ACM SIGPLAN Notices, Automated Software Engineering, Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign), ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) and ACM SIGPLAN Symposium on Principles and Practice of Parallel 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.