Allison W. Lee

458 total citations
8 papers, 312 citations indexed

About

Allison W. Lee is a scholar working on Pharmacology, Computer Networks and Communications and Anesthesiology and Pain Medicine. According to data from OpenAlex, Allison W. Lee has authored 8 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 2 papers in Computer Networks and Communications and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Allison W. Lee's work include Musculoskeletal pain and rehabilitation (4 papers), Pain Management and Opioid Use (2 papers) and Advanced Database Systems and Queries (2 papers). Allison W. Lee is often cited by papers focused on Musculoskeletal pain and rehabilitation (4 papers), Pain Management and Opioid Use (2 papers) and Advanced Database Systems and Queries (2 papers). Allison W. Lee collaborates with scholars based in United States, Australia and Denmark. Allison W. Lee's co-authors include Robert D. Kerns, Patricia H. Rosenberger, Errol J. Philip, Steven Pelley, Marcin Żukowski, Martin Hentschel, Philipp Unterbrunner, Benoît Dageville, В. А. Антонов and Jiansheng Huang and has published in prestigious journals such as Proceedings of the VLDB Endowment, Pain Medicine and Translational Behavioral Medicine.

In The Last Decade

Allison W. Lee

8 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Allison W. Lee United States	6	175	121	89	42	41	8	312
J. Moffett United Kingdom	5	57 0.3×	115 1.0×	139 1.6×	15 0.4×	3 0.1×	9	319
Ying Lin United States	14	87 0.5×	24 0.2×	13 0.1×	59 1.4×	49 1.2×	39	467
Bing Mao China	12	71 0.4×	132 1.1×	11 0.1×	158 3.8×	27 0.7×	45	431
Gang Hu China	11	70 0.4×	50 0.4×	27 0.3×	21 0.5×		33	379
W. Hetzel Switzerland	11	46 0.3×	123 1.0×	68 0.8×	17 0.4×	130 3.2×	18	523
Mamoun Mardini United States	10	76 0.4×	56 0.5×	28 0.3×	30 0.7×	1 0.0×	42	434
Susan Price United States	11	112 0.6×	195 1.6×	3 0.0×	52 1.2×	8 0.2×	29	436
Kitty Kioskli United Kingdom	10	21 0.1×	43 0.4×	46 0.5×	18 0.4×	10 0.2×	32	259
Anand Prakash Shukla India	8	29 0.2×	27 0.2×	25 0.3×	9 0.2×		24	259
Ki-Bong Yoo South Korea	11	150 0.9×	177 1.5×	8 0.1×	100 2.4×		42	487

Countries citing papers authored by Allison W. Lee

Since Specialization

Citations

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

Fields of papers citing papers by Allison W. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison W. Lee. 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 Allison W. Lee. The network helps show where Allison W. Lee may publish in the future.

Co-authorship network of co-authors of Allison W. Lee

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

All Works

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8 of 8 papers shown

1.

Borovica‐Gajic, Renata, et al.. (2022). Database Indexing and Query Processing (Dagstuhl Seminar 22111). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

2.

Edmond, Sara N., Brent A. Moore, Lindsey Dorflinger, et al.. (2018). Project STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management. Pain Medicine. 19(suppl_1). S30–S37. 20 indexed citations

3.

Borovica‐Gajic, Renata, Goetz Graefe, & Allison W. Lee. (2017). Robust Performance in Database Query Processing (Dagstuhl Seminar 17222). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations

4.

Dageville, Benoît, Thierry Cruanes, Marcin Żukowski, et al.. (2016). The Snowflake Elastic Data Warehouse. 215–226. 184 indexed citations

5.

Pellico, Linda Honan, Wesley P. Gilliam, Allison W. Lee, & Robert D. Kerns. (2014). Hearing New Voices: Registered Nurses and Health Technicians Experience Caring for Chronic Pain Patients in Primary Care Clinics. The Open Nursing Journal. 8(1). 25–33. 10 indexed citations

6.

Dorflinger, Lindsey, Wesley P. Gilliam, Allison W. Lee, & Robert D. Kerns. (2014). Development and application of an electronic health record information extraction tool to assess quality of pain management in primary care. Translational Behavioral Medicine. 4(2). 184–189. 11 indexed citations

7.

Kerns, Robert D., Errol J. Philip, Allison W. Lee, & Patricia H. Rosenberger. (2011). Implementation of the Veterans Health Administration National Pain Management Strategy. Translational Behavioral Medicine. 1(4). 635–643. 75 indexed citations

8.

Lee, Allison W. & Mohamed Zaït. (2008). Closing the query processing loop in Oracle 11g. Proceedings of the VLDB Endowment. 1(2). 1368–1378. 7 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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