Connor Imes

468 citations
22 papers · 314 · h-index 11

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Software System Performance and Reliability

Papers in

Connor Imes

21 papers receiving 308 citations

Peers

Connor Imes
Comparison fields: 5 of 29
  • Hardware and Architecture 187
  • Computer Networks and Communications 196
  • Information Systems 102
  • Computer Vision and Pattern Recognition 44
  • Artificial Intelligence 53
Replace Michael Neufeld with:
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Connor Imes relative to Michael Neufeld United States Michael Neufeld's profile →
Citations per field
00.5×10×16×
Michael Neufeld · 1×
Citations per year

Countries citing papers authored by Connor Imes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Connor Imes Line = papers co-authored together Connor Imes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201575
2 201856
3 201540
4 201524
5 201821
6 202217
7 201816
8 201613
9 201912
10 201911
11 201610
12 20165
13 20234
14 20202
15 20222
16 20241
17 20241
18 20241
19 20241
20 20241

About Connor Imes

Connor Imes is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Environmental Engineering and Aerospace Engineering, having authored 22 papers that have together received 314 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 Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Computer Networks and Communications (196 citations), Information Systems (102 citations), Computer Vision and Pattern Recognition (44 citations) and Artificial Intelligence (53 citations). Connor Imes has collaborated with scholars based in United States, Sweden and Hungary. Frequent co-authors include Henry Hoffmann, Martina Maggio, Nikita Mishra, John Lafferty, Steven Hofmeyr, John Paul Walters, Stephen P. Crago, Kevin Zhao, Lars Bergström and Souvik Kundu. 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.

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