Jeffrey A. Dean

4.4k total citations · 1 hit paper
49 papers, 2.6k citations indexed

About

Jeffrey A. Dean is a scholar working on Hardware and Architecture, Artificial Intelligence and Oral Surgery. According to data from OpenAlex, Jeffrey A. Dean has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 13 papers in Artificial Intelligence and 12 papers in Oral Surgery. Recurrent topics in Jeffrey A. Dean's work include Logic, programming, and type systems (13 papers), Parallel Computing and Optimization Techniques (13 papers) and Software Engineering Research (10 papers). Jeffrey A. Dean is often cited by papers focused on Logic, programming, and type systems (13 papers), Parallel Computing and Optimization Techniques (13 papers) and Software Engineering Research (10 papers). Jeffrey A. Dean collaborates with scholars based in United States, Jordan and Egypt. Jeffrey A. Dean's co-authors include Craig Chambers, David R. Avery, David Grove, William E. Weihl, Carl A. Waldspurger, George Chrysos, James E. Hicks, Shun-Tak A. Leung, Sanjay Ghemawat and Richard L. Sites and has published in prestigious journals such as American Journal of Preventive Medicine, Journal of Endodontics and The Journal of the American Dental Association.

In The Last Decade

Jeffrey A. Dean

47 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dentistry for the Child and Adolescent

1974 516 citations Jeffrey A. Dean et al. profile →

Peers

Jeffrey A. Dean

HA

CNC

AI

OS

IS

Daniel Alexander Ford United States

Richard Taylor United States

James D. Stevens United States

Manu Bansal India

Dong-Keun Kim South Korea

T. Yoshino Japan

Katz United States

Mohammad Ghodsi Iran

Quang Ngọc Nguyễn Japan

Christiane Marie Schweitzer Brazil

Daniel Alexander Ford United States

Jeffrey A. Dean

78 ×0.1

HA

626 ×0.9

CNC

183 ×0.3

AI

47 ×0.1

OS

258 ×0.5

IS

Citations per year, relative to Jeffrey A. Dean Jeffrey A. Dean (= 1×) peers Daniel Alexander Ford

Countries citing papers authored by Jeffrey A. Dean

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey A. Dean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Dean. 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 Jeffrey A. Dean. The network helps show where Jeffrey A. Dean may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Dean

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mason, T. F. D., et al.. (2023). Can we predict orthodontic extraction patterns by using machine learning?. Orthodontics and Craniofacial Research. 26(4). 552–559. 22 indexed citations

2.

Mason, T. F. D., et al.. (2023). A machine learning model for orthodontic extraction/non-extraction decision in a racially and ethnically diverse patient population. International Orthodontics. 21(3). 100759–100759. 16 indexed citations

3.

Fontana, Margherita, et al.. (2014). The success of stainless steel crowns placed with the Hall technique. The Journal of the American Dental Association. 145(12). 1248–1253. 56 indexed citations

4.

Dean, Jeffrey A., et al.. (2011). Multifocal Oral Langerhans Cell Histiocytosis. Journal of Oral and Maxillofacial Surgery. 69(10). 2585–2591. 10 indexed citations

5.

Born, Christopher T., et al.. (2011). Partnered Disaster Preparedness: Lessons Learned From International Events. Journal of the American Academy of Orthopaedic Surgeons. 19. S44–S48. 17 indexed citations

6.

Mohamed, Ahmed, et al.. (2008). Comparison of Enamel Matrix Derivative Versus Formocresol as Pulpotomy Agents in the Primary Dentition. Journal of Endodontics. 34(3). 284–287. 25 indexed citations

7.

Martínez‐Mier, E. Angeles, Jeffrey A. Dean, James A. Weddell, et al.. (2008). Dental caries experience and association to risk indicators of remote rural populations. International Journal of Paediatric Dentistry. 18(4). 275–283. 35 indexed citations

8.

Ellis, Mark A., et al.. (2007). An Evaluation of DNA Yield, DNA Quality and Bite Registration From a Dental Impression Wafer. The Journal of the American Dental Association. 138(9). 1234–1240. 2 indexed citations

9.

Dean, Jeffrey A., et al.. (2005). Public Assistance Orthodontic Treatment Needs: A Report from the State of Indiana. Journal of Public Health Dentistry. 65(3). 133–137. 11 indexed citations

10.

Dean, Jeffrey A., et al.. (2003). Fluoride varnish concentration gradient and its effect on enamel demineralization.. PubMed. 25(2). 119–26. 25 indexed citations

11.

Dean, Jeffrey A., et al.. (2002). Comparison of electrosurgical and formocresol pulpotomy procedures in children. International Journal of Paediatric Dentistry. 12(3). 177–182. 57 indexed citations

12.

Dean, Jeffrey A., James E. Hicks, Carl A. Waldspurger, William E. Weihl, & George Chrysos. (2002). ProfileMe: hardware support for instruction-level profiling on out-of-order processors. 292–302. 77 indexed citations

13.

Dean, Jeffrey A., et al.. (1999). Malocclusion: How important is that bite?. Journal of Pediatric Health Care. 13(5). 245–247. 3 indexed citations

14.

Chambers, Craig, Jeffrey A. Dean, & David Grove. (1998). Frameworks for Intra- and Interprocedural Dataflow Analysis. 9 indexed citations

15.

Dean, Jeffrey A., et al.. (1997). Progression of interproximal caries in the primary dentition.. PubMed. 22(1). 59–62. 8 indexed citations

16.

Anderson, Jennifer M., Jeffrey A. Dean, Sanjay Ghemawat, et al.. (1997). Continuous profiling. ACM SIGOPS Operating Systems Review. 31(5). 1–14. 7 indexed citations

17.

Winkler, Mark M., et al.. (1996). Using a Resin-Modified Glass Ionomer as an Occlusal Sealant: A One-Year Clinical Study. The Journal of the American Dental Association. 127(10). 1508–1514. 32 indexed citations

18.

Dean, Jeffrey A., et al.. (1994). Measurement and Application of Dynamic Receiver Class Distributions. 5 indexed citations

19.

Dean, Jeffrey A., Craig Chambers, & David Grove. (1994). Identifying Profitable Specialization in Object-Oriented Languages. 85–96. 13 indexed citations

20.

Dean, Jeffrey A., et al.. (1990). Software for data management and analysis in epidemiology.. PubMed. 11(1). 75–7. 11 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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