Kirk Beaty

1.7k citations
21 papers · 1.2k · 1 hit paper · h-index 10

Impact in

Papers in

    • Distributed and Parallel Computing Systems 8
    • Software-Defined Networks and 5G 3
    • Advanced Data Storage Technologies 3
    • Software System Performance and Reliability 2
    • Cloud Computing and Resource Management 11
    • Cloud Data Security Solutions 4

Kirk Beaty

20 papers receiving 1.1k citations

Kirk Beaty's Hit Papers

Dynamic Placement of Virtual Machines for Managing SLA Violations 2007 · 585 citations
5850+6+12Years since publication100200300400500

Peers

Kirk Beaty
Comparison fields: 5 of 86
  • Health Informatics 55
  • Information Systems 907
  • Computer Networks and Communications 887
  • Hardware and Architecture 109
  • Artificial Intelligence 109
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Citations per field
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Citations per year

Countries citing papers authored by Kirk Beaty

Since Specialization
Citations

This map shows the geographic impact of Kirk Beaty'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 Kirk Beaty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirk Beaty more than expected).

Fields of papers citing papers by Kirk Beaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirk Beaty. 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 Kirk Beaty. The network helps show where Kirk Beaty may publish in the future.

Co-authors

The 25 scholars most cited alongside Kirk Beaty, 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 Kirk Beaty Line = papers co-authored together Kirk Beaty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic Placement of Virtual Machines for Managing SLA Violations
Hit paper breakdown →
2007585
2 2006216
3 2019172
4 200735
5 200933
6 201324
7 200918
8 201013
9 201310
10 20119
11 20178
12 20096
13 20135
14 20075
15 20164
16 20203
17 20043
18 20133
19 20143
20 19911

About Kirk Beaty

Kirk Beaty is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Molecular Biology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (8 papers), Cloud Data Security Solutions (4 papers), Cloud Computing and Remote Desktop Technologies (4 papers), Software-Defined Networks and 5G (3 papers), Advanced Data Storage Technologies (3 papers), Genomics and Rare Diseases (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Health Informatics (55 citations), Information Systems (907 citations), Computer Networks and Communications (887 citations), Hardware and Architecture (109 citations) and Artificial Intelligence (109 citations). Kirk Beaty has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Andrzej Kochut, Norman Bobroff, Gautam Kar, Gunjan Khanna, Jia Xu, Fang Wang, Shang Xue, Vijay K. Naik, Justin Manweiler and Arup Abhinna Acharya. Their work appears in journals such as IBM Systems Journal, IBM Journal of Research and Development, Journal of Clinical Oncology, Human Genetics and JAMIA Open.

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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