Alexander Heinecke
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hans‐Joachim BungartzGreg HenryPradeep DubeyMikhail SmelyanskiyKarthikeyan VaidyanathanDirk PflügerHans PabstDhiraj Kalamkar
- Topics
- Parallel Computing and Optimization Techniques (33 papers)Advanced Data Storage Technologies (15 papers)Distributed and Parallel Computing Systems (10 papers)
- Journals
- Journal of Chemical Theory and ComputationJournal of Computational and Applied MathematicsComputers & Fluids
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Alexander Heinecke
48 papers receiving 844 citations
Peers
Comparison fields: 5 of 78
- Hardware and Architecture 353
- Computer Networks and Communications 303
- Artificial Intelligence 175
- Computational Mechanics 142
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Alexander Heinecke
This map shows the geographic impact of Alexander Heinecke'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 Alexander Heinecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Heinecke more than expected).
Fields of papers citing papers by Alexander Heinecke
This network shows the impact of papers produced by Alexander Heinecke. 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 Alexander Heinecke. The network helps show where Alexander Heinecke may publish in the future.
Co-authorship network of co-authors of Alexander Heinecke
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Heinecke. A scholar is included among the top collaborators of Alexander Heinecke 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 Alexander Heinecke. Alexander Heinecke 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 | 11 | |
| 3 | Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads | 1 |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | Mixed Precision Training of Convolutional Neural Networks using Integer Operations | 15 |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 97 | |
| 13 | Demonstrating Performance Portability of A Custom OpenCL Data Mining Application to the Intel(R) Xeon Phi(TM) Coprocessor | 2 |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 8 |
About Alexander Heinecke
Alexander Heinecke is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 48 papers that have together received 872 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (10 papers). The work is most often cited by research in Hardware and Architecture (353 citations), Computational Mathematics (23 citations) and Computer Networks and Communications (303 citations). Alexander Heinecke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans‐Joachim Bungartz, Greg Henry, Pradeep Dubey, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Dirk Pflüger, Hans Pabst, Dhiraj Kalamkar, Maxwell Hutchinson and Michael Bäder. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computational and Applied Mathematics and Computers & Fluids.
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.