Beth Trushkowsky
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Mobile Crowdsensing and Crowdsourcing 6
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- Advanced Data Storage Technologies 3
- Distributed systems and fault tolerance 2
- Co-authors
- Michael J. Franklin (6 shared papers)Tim Kraska (6 shared papers)Rob Ennals (1 shared paper)John Mark Agosta (1 shared paper)Purnamrita Sarkar (3 shared papers)Armando Fox (2 shared papers)David A. Patterson (2 shared papers)Peter Bodík (1 shared paper)
- Journals
- IEEE Internet Computing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Communications of the ACM (1 paper)File and Storage Technologies (1 paper)Queensland's institutional digital repository (The University of Queensland) (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Beth Trushkowsky
10 papers receiving 289 citations
Peers
Comparison fields: 5 of 34
- Computer Science Applications 93
- Information Systems 139
- Computer Networks and Communications 118
- Artificial Intelligence 133
- Management Science and Operations Research 40
Countries citing papers authored by Beth Trushkowsky
This map shows the geographic impact of Beth Trushkowsky'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 Beth Trushkowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Trushkowsky more than expected).
Fields of papers citing papers by Beth Trushkowsky
This network shows the impact of papers produced by Beth Trushkowsky. 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 Beth Trushkowsky. The network helps show where Beth Trushkowsky may publish in the future.
Co-authors
The 15 scholars most cited alongside Beth Trushkowsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2013 | 79 | |
| 3 | 2010 | 73 | |
| 4 | CrowdQ: Crowdsourced Query Understanding | 2013 | 23 |
| 5 | 2015 | 10 | |
| 6 | 2014 | 8 | |
| 7 | 2013 | 6 | |
| 8 | 2010 | 6 | |
| 9 | 2017 | 4 | |
| 10 | 2013 | 1 | |
| 11 | 2022 | 0 |
About Beth Trushkowsky
Beth Trushkowsky is a scholar working on Computer Science Applications, Computer Networks and Communications, Information Systems, Signal Processing and Artificial Intelligence, having authored 11 papers that have together received 306 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (6 papers), Data Management and Algorithms (3 papers), Cloud Computing and Resource Management (3 papers), Advanced Data Storage Technologies (3 papers), Data Quality and Management (3 papers), Data Stream Mining Techniques (2 papers), Distributed systems and fault tolerance (2 papers) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Computer Science Applications (93 citations), Information Systems (139 citations), Computer Networks and Communications (118 citations), Artificial Intelligence (133 citations) and Management Science and Operations Research (40 citations). Beth Trushkowsky has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Michael J. Franklin, Tim Kraska, Rob Ennals, John Mark Agosta, Purnamrita Sarkar, Armando Fox, David A. Patterson, Peter Bodík, Michael I. Jordan and Gianluca Demartini. Their work appears in journals such as IEEE Internet Computing, IEEE Transactions on Knowledge and Data Engineering, Communications of the ACM, File and Storage Technologies and Queensland's institutional digital repository (The University of Queensland).
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.