Connor Imes
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Real-Time Systems Scheduling
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- Distributed and Parallel Computing Systems
- Software System Performance and Reliability
- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 13
- Real-Time Systems Scheduling 4
- Embedded Systems Design Techniques 4
- Co-authors
- Henry Hoffmann (13 shared papers)Martina Maggio (2 shared papers)John Lafferty (2 shared papers)Nikita Mishra (3 shared papers)Steven A. Hofmeyr (2 shared papers)John Paul Walters (9 shared papers)Souvik Kundu (2 shared papers)Kevin Zhao (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)IEEE Software (1 paper)ACM SIGBED Review (1 paper)Lund University Publications (Lund University) (2 papers)
- Partner nations
- United StatesSwedenHungary
In The Last Decade
Connor Imes
21 papers receiving 352 citations
Peers
Comparison fields: 5 of 33
- Hardware and Architecture 211
- Computer Networks and Communications 218
- Information Systems 118
- Computer Vision and Pattern Recognition 51
- Artificial Intelligence 56
Countries citing papers authored by Connor Imes
This map shows the geographic impact of Connor Imes'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 Connor Imes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor Imes more than expected).
Fields of papers citing papers by Connor Imes
This network shows the impact of papers produced by Connor Imes. 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 Connor Imes. The network helps show where Connor Imes may publish in the future.
Co-authors
The 25 scholars most cited alongside Connor Imes, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2018 | 60 | |
| 3 | 2015 | 42 | |
| 4 | 2018 | 30 | |
| 5 | 2015 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2019 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2016 | 10 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 2 | |
| 15 | Minimizing Energy Under Performance Constraints on Embedded Platforms. | 2014 | 2 |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Connor Imes
Connor Imes is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Environmental Engineering and Global and Planetary Change, having authored 22 papers that have together received 357 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Cloud Computing and Resource Management (7 papers), Remote Sensing and LiDAR Applications (5 papers), Fire effects on ecosystems (5 papers), UAV Applications and Optimization (5 papers), Real-Time Systems Scheduling (4 papers), Embedded Systems Design Techniques (4 papers) and Green IT and Sustainability (3 papers). The work is most often cited by research in Hardware and Architecture (211 citations), Computer Networks and Communications (218 citations), Information Systems (118 citations), Computer Vision and Pattern Recognition (51 citations) and Artificial Intelligence (56 citations). Connor Imes has collaborated with scholars based in United States, Sweden and Hungary. Frequent co-authors include Henry Hoffmann, Martina Maggio, John Lafferty, Nikita Mishra, Steven A. Hofmeyr, John Paul Walters, Souvik Kundu, Kevin Zhao, Stephen P. Crago and Peter A. Beerel. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Software, ACM SIGBED Review and Lund University Publications (Lund University).
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.