Michael L. Heytens
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Artificial Intelligence
- Hardware and Architecture top 10%
- Co-authors
- Goetz GraefeDavid J. DeWittKrishna B. KumarM. MuralikrishnaRishiyur S. NikhilDuane S. BoningAlexander S. WongMelody Xu
- Topics
- Advanced Database Systems and Queries (4 papers)Manufacturing Process and Optimization (3 papers)Advanced Surface Polishing Techniques (3 papers)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsACM SIGMOD RecordIEEE Transactions on Components Hybrids and Manufacturing Technology
- Partner nations
- United States
In The Last Decade
Michael L. Heytens
8 papers receiving 282 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 289
- Signal Processing 110
- Information Systems 98
- Artificial Intelligence 59
- Hardware and Architecture 45
Countries citing papers authored by Michael L. Heytens
This map shows the geographic impact of Michael L. Heytens'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 Michael L. Heytens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Heytens more than expected).
Fields of papers citing papers by Michael L. Heytens
This network shows the impact of papers produced by Michael L. Heytens. 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 Michael L. Heytens. The network helps show where Michael L. Heytens may publish in the future.
Co-authorship network of co-authors of Michael L. Heytens
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Heytens. A scholar is included among the top collaborators of Michael L. Heytens 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 Michael L. Heytens. Michael L. Heytens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 37 | |
| 6 | 3 | |
| 7 | The design and implementation of a parallel persistent object system | 0 |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | GAMMA—a high performance dataflow database machine | 260 |
About Michael L. Heytens
Michael L. Heytens is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Signal Processing, having authored 11 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Manufacturing Process and Optimization (3 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (289 citations), Signal Processing (110 citations) and Hardware and Architecture (45 citations). Michael L. Heytens has collaborated with scholars based in United States. Frequent co-authors include Goetz Graefe, David J. DeWitt, Krishna B. Kumar, M. Muralikrishna, Rishiyur S. Nikhil, Duane S. Boning, Alexander S. Wong, Melody Xu, J. Clear and Abhay Mehta. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM SIGMOD Record and IEEE Transactions on Components Hybrids and Manufacturing Technology.
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.