Ian Karlin
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 10%
Papers in
-
- Parallel Computing and Optimization Techniques 29
- Embedded Systems Design Techniques 6
-
- Advanced Data Storage Technologies 16
- Distributed and Parallel Computing Systems 15
- Software System Performance and Reliability 5
- Co-authors
- Elizabeth R. Jessup (6 shared papers)Jeremy G. Siek (4 shared papers)Abhinav Bhatelé (4 shared papers)Martin Schulz (2 shared papers)Pei‐Hung Lin (3 shared papers)Markus Schordan (3 shared papers)Chunhua Liao (3 shared papers)Jonathan D. Cohen (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (1 paper)Journal of Computational Science (1 paper)Parallel Computing (1 paper)IBM Journal of Research and Development (1 paper)The International Journal of High Performance Computing Applications (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ian Karlin
37 papers receiving 512 citations
Peers
Comparison fields: 5 of 48
- Hardware and Architecture 379
- Computational Mathematics 16
- Computer Networks and Communications 341
- Software 28
- Information Systems 121
Countries citing papers authored by Ian Karlin
This map shows the geographic impact of Ian Karlin'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 Ian Karlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Karlin more than expected).
Fields of papers citing papers by Ian Karlin
This network shows the impact of papers produced by Ian Karlin. 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 Ian Karlin. The network helps show where Ian Karlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Karlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 125 | |
| 2 | 2009 | 46 | |
| 3 | 2017 | 41 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 32 | |
| 6 | 2017 | 25 | |
| 7 | 2008 | 25 | |
| 8 | 2021 | 21 | |
| 9 | 2019 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2016 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2012 | 6 | |
| 20 | High-Performance Tensor Contractions for GPUs | 2016 | 6 |
About Ian Karlin
Ian Karlin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Management and Information Systems, having authored 40 papers that have together received 527 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (29 papers), Advanced Data Storage Technologies (16 papers), Distributed and Parallel Computing Systems (15 papers), Embedded Systems Design Techniques (6 papers), Software System Performance and Reliability (5 papers), Scientific Computing and Data Management (5 papers), Numerical Methods and Algorithms (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Hardware and Architecture (379 citations), Computational Mathematics (16 citations), Computer Networks and Communications (341 citations), Software (28 citations) and Information Systems (121 citations). Ian Karlin has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Elizabeth R. Jessup, Jeremy G. Siek, Abhinav Bhatelé, Martin Schulz, Pei‐Hung Lin, Markus Schordan, Chunhua Liao, Jonathan D. Cohen, Zachary DeVito and Edward Luke. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Journal of Computational Science, Parallel Computing, IBM Journal of Research and Development and The International Journal of High Performance Computing Applications.
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.