Beth Trushkowsky

504 total citations
11 papers, 306 citations indexed

About

Beth Trushkowsky is a scholar working on Computer Science Applications, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Beth Trushkowsky has authored 11 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Beth Trushkowsky's work include Mobile Crowdsensing and Crowdsourcing (6 papers), Cloud Computing and Resource Management (3 papers) and Data Quality and Management (3 papers). Beth Trushkowsky is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (6 papers), Cloud Computing and Resource Management (3 papers) and Data Quality and Management (3 papers). Beth Trushkowsky collaborates with scholars based in United States, Switzerland and Netherlands. Beth Trushkowsky's 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 and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and IEEE Internet Computing.

In The Last Decade

Beth Trushkowsky

10 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Beth Trushkowsky United States 7 139 133 118 93 40 11 306
Alban Galland France 5 103 0.7× 148 1.1× 62 0.5× 116 1.2× 51 1.3× 8 260
Jeff Pasternack United States 7 152 1.1× 279 2.1× 44 0.4× 202 2.2× 80 2.0× 7 415
Zied Kechaou Tunisia 10 130 0.9× 132 1.0× 98 0.8× 38 0.4× 11 0.3× 26 282
Frank McCown United States 10 203 1.5× 54 0.4× 102 0.9× 19 0.2× 31 0.8× 25 264
Evelyn Balfe Ireland 6 245 1.8× 69 0.5× 43 0.4× 34 0.4× 23 0.6× 8 285
Morakot Choetkiertikul Thailand 12 266 1.9× 86 0.6× 62 0.5× 55 0.6× 15 0.4× 39 324
G.J.P.M. Houben Netherlands 9 102 0.7× 102 0.8× 69 0.6× 33 0.4× 10 0.3× 31 212
Hassan I. Abdalla United Arab Emirates 9 116 0.8× 117 0.9× 84 0.7× 18 0.2× 15 0.4× 26 264
Zhipeng Gao China 10 208 1.5× 145 1.1× 51 0.4× 25 0.3× 16 0.4× 35 304
Robert McCann United States 10 184 1.3× 232 1.7× 178 1.5× 38 0.4× 132 3.3× 17 390

Countries citing papers authored by Beth Trushkowsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beth Trushkowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Trushkowsky. A scholar is included among the top collaborators of Beth Trushkowsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beth Trushkowsky. Beth Trushkowsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Trushkowsky, Beth, et al.. (2017). Dynamic Filter: Adaptive Query Processing with the Crowd. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 5. 118–127. 4 indexed citations
3.
Trushkowsky, Beth, Tim Kraska, Michael J. Franklin, & Purnamrita Sarkar. (2015). Answering enumeration queries with the crowd. Communications of the ACM. 59(1). 118–127. 10 indexed citations
4.
Trushkowsky, Beth, et al.. (2014). Crowdsourcing Enumeration Queries: Estimators and Interfaces. IEEE Transactions on Knowledge and Data Engineering. 27(7). 1796–1809. 8 indexed citations
5.
Demartini, Gianluca, Beth Trushkowsky, Tim Kraska, & Michael J. Franklin. (2013). CrowdQ: Crowdsourced Query Understanding. Queensland's institutional digital repository (The University of Queensland). 23 indexed citations
6.
Kraska, Tim & Beth Trushkowsky. (2013). The New Database Architectures. IEEE Internet Computing. 17(3). 72–75. 6 indexed citations
7.
Trushkowsky, Beth, Tim Kraska, & Michael J. Franklin. (2013). A Framework for Adaptive Crowd Query Processing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 74–75. 1 indexed citations
8.
Trushkowsky, Beth, Tim Kraska, Michael J. Franklin, & Purnamrita Sarkar. (2013). Crowdsourced enumeration queries. 673–684. 79 indexed citations
9.
Trushkowsky, Beth, Peter Bodík, Armando Fox, et al.. (2011). The SCADS director: scaling a distributed storage system under stringent performance requirements. File and Storage Technologies. 12–12. 96 indexed citations
10.
Armbrust, Michael, Stephen Tu, Armando Fox, et al.. (2010). PIQL. 1207–1210. 6 indexed citations
11.
Ennals, Rob, Beth Trushkowsky, & John Mark Agosta. (2010). Highlighting disputed claims on the web. 341–350. 73 indexed citations

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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