Laurel Orr

2.7k total citations
20 papers, 201 citations indexed

About

Laurel Orr is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laurel Orr has authored 20 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laurel Orr's work include Medical Imaging Techniques and Applications (8 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (6 papers). Laurel Orr is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Data Management and Algorithms (6 papers) and Advanced Database Systems and Queries (6 papers). Laurel Orr collaborates with scholars based in United States and United Kingdom. Laurel Orr's co-authors include Dan Suciu, Christopher Ré, Avanika Narayan, Ines Chami, Sudeepa Roy, Srikanth Kandula, Surajit Chaudhuri, Magdalena Bałazińska, Xiao Ling and Karan Goel and has published in prestigious journals such as Proceedings of the VLDB Endowment, The VLDB Journal and Conference on Innovative Data Systems Research.

In The Last Decade

Laurel Orr

20 papers receiving 187 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurel Orr United States 7 99 61 50 40 35 20 201
David W. Archer United States 9 164 1.7× 64 1.0× 14 0.3× 16 0.4× 65 1.9× 21 254
Yikun Xian United States 10 164 1.7× 13 0.2× 21 0.4× 15 0.4× 115 3.3× 17 243
Giovanni Cozzolino Italy 8 52 0.5× 46 0.8× 11 0.2× 38 0.9× 85 2.4× 19 163
Ruohan Zhan United States 7 45 0.5× 12 0.2× 30 0.6× 18 0.5× 52 1.5× 10 242
G. Rekha India 7 65 0.7× 47 0.8× 13 0.3× 10 0.3× 40 1.1× 20 172
Hazar Harmouch Germany 6 74 0.7× 80 1.3× 68 1.4× 40 1.0× 51 1.5× 10 170
Manish P. Kurhekar India 8 49 0.5× 38 0.6× 54 1.1× 5 0.1× 51 1.5× 19 209
José Cambronero United States 8 122 1.2× 15 0.2× 11 0.2× 22 0.6× 42 1.2× 20 207
Qingfeng Du China 10 118 1.2× 74 1.2× 15 0.3× 24 0.6× 60 1.7× 34 275
Jingqiang Lin China 6 128 1.3× 71 1.2× 6 0.1× 23 0.6× 94 2.7× 23 220

Countries citing papers authored by Laurel Orr

Since Specialization
Citations

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

Fields of papers citing papers by Laurel Orr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurel Orr

This figure shows the co-authorship network connecting the top 25 collaborators of Laurel Orr. A scholar is included among the top collaborators of Laurel Orr 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 Laurel Orr. Laurel Orr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Orr, Laurel, et al.. (2024). Evaluating Text-to-SQL Model Failures on Real-World Data. 1–1. 2 indexed citations
2.
Narayan, Avanika, Ines Chami, Laurel Orr, & Christopher Ré. (2022). Can Foundation Models Wrangle Your Data?. Proceedings of the VLDB Endowment. 16(4). 738–746. 72 indexed citations
3.
Orr, Laurel, et al.. (2021). Managing ML pipelines. Proceedings of the VLDB Endowment. 14(12). 3178–3181. 10 indexed citations
4.
Goel, Karan, Laurel Orr, Nazneen Fatema Rajani, Jesse Vig, & Christopher Ré. (2021). Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. 205–213. 1 indexed citations
5.
Kandula, Srikanth, Laurel Orr, & Surajit Chaudhuri. (2021). Data-induced predicates for sideways information passing in query optimizers. The VLDB Journal. 31(6). 1263–1290. 1 indexed citations
6.
Orr, Laurel, Simran Arora, Sen Wu, et al.. (2020). Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. Conference on Innovative Data Systems Research. 2 indexed citations
7.
Orr, Laurel, Magdalena Bałazińska, & Dan Suciu. (2020). Sample Debiasing in the Themis Open World Database System. 257–268. 7 indexed citations
8.
Orr, Laurel, Magdalena Bałazińska, & Dan Suciu. (2019). EntropyDB: a probabilistic approach to approximate query processing. The VLDB Journal. 29(1). 539–567. 2 indexed citations
9.
Kandula, Srikanth, Laurel Orr, & Surajit Chaudhuri. (2019). Pushing data-induced predicates through joins in big-data clusters. Proceedings of the VLDB Endowment. 13(3). 252–265. 22 indexed citations
10.
Orr, Laurel, Magdalena Bałazińska, & Dan Suciu. (2017). Probabilistic database summarization for interactive data exploration. Proceedings of the VLDB Endowment. 10(10). 1154–1165. 11 indexed citations
11.
Roy, Sudeepa, Laurel Orr, & Dan Suciu. (2015). Explaining query answers with explanation-ready databases. Proceedings of the VLDB Endowment. 9(4). 348–359. 36 indexed citations
12.
Orr, Laurel, et al.. (2014). Irregular large-scale computed tomography on multiple graphics processors improves energy-efficiency metrics for industrial applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9215. 921509–921509. 1 indexed citations
13.
Loebman, Sarah, Laurel Orr, Lauren Anderson, et al.. (2014). Big-Data Management Use-Case. 1–4. 4 indexed citations
14.
Orr, Laurel, et al.. (2014). Object composition identification via mediated-reality supplemented radiographs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7. 1–6. 5 indexed citations
15.
Orr, Laurel, et al.. (2014). Exploring mediated reality to approximate x-ray attenuation coefficients from radiographs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9215. 92150C–92150C. 5 indexed citations
16.
Orr, Laurel, et al.. (2014). Utilization of Virtualized Environments for Efficient X-ray Attenuation Approximation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 56–60. 6 indexed citations
17.
Orr, Laurel, et al.. (2014). Cluster-based approach to a multi-GPU CT reconstruction algorithm. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 3 indexed citations
18.
Orr, Laurel, et al.. (2013). Rethinking the union of computed tomography reconstruction and GPGPU computing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8854. 88540A–88540A. 1 indexed citations
19.
Orr, Laurel, et al.. (2013). Preparing for the 100-megapixel detector: reconstructing a multi-terabyte computed-tomography dataset. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8854. 885409–885409. 2 indexed citations
20.

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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