David Becker

505 total citations
11 papers, 310 citations indexed

About

David Becker is a scholar working on Management Information Systems, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, David Becker has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Information Systems, 3 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in David Becker's work include Big Data and Business Intelligence (2 papers), Semantic Web and Ontologies (2 papers) and Advanced Database Systems and Queries (2 papers). David Becker is often cited by papers focused on Big Data and Business Intelligence (2 papers), Semantic Web and Ontologies (2 papers) and Advanced Database Systems and Queries (2 papers). David Becker collaborates with scholars based in United States and South Korea. David Becker's co-authors include Sunita Vohra, Michelle Bailey, Hilary McClafferty, Timothy Culbert, Amy J. Houtrow, Renee M. Turchi, Lawrence D. Rosen, Sandra Friedman, Richard C. Adams and Robert T. Burke and has published in prestigious journals such as PEDIATRICS, Primary Care Clinics in Office Practice and Communication & Sport.

In The Last Decade

David Becker

11 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Becker United States	7	84	77	74	57	54	11	310
Christian Mauro Germany	10	67 0.8×	96 1.2×	49 0.7×	28 0.5×	58 1.1×	35	488
Max Auerswald Germany	7	23 0.3×	30 0.4×	26 0.4×	60 1.1×	25 0.5×	8	368
José María Arana Martínez Spain	10	102 1.2×	137 1.8×	22 0.3×	64 1.1×	19 0.4×	58	436
Eduardo Estrada Spain	12	57 0.7×	69 0.9×	24 0.3×	43 0.8×	27 0.5×	31	389
Dingjing Shi United States	7	48 0.6×	94 1.2×	41 0.6×	31 0.5×	26 0.5×	20	483
Tyler G. Erath United States	11	20 0.2×	66 0.9×	36 0.5×	136 2.4×	45 0.8×	32	315
Maxwell Mansolf United States	9	54 0.6×	42 0.5×	23 0.3×	37 0.6×	42 0.8×	31	465
María Dolores Nieto Spain	7	43 0.5×	99 1.3×	45 0.6×	30 0.5×	22 0.4×	12	519
Alice E. Hoon United Kingdom	8	45 0.5×	50 0.6×	45 0.6×	75 1.3×	16 0.3×	17	392
Aaron J. Fischer United States	14	105 1.3×	172 2.2×	51 0.7×	224 3.9×	69 1.3×	54	526

Countries citing papers authored by David Becker

Since Specialization

Citations

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

Fields of papers citing papers by David Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Becker

This figure shows the co-authorship network connecting the top 25 collaborators of David Becker. A scholar is included among the top collaborators of David Becker 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 David Becker. David Becker 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:

11 of 11 papers shown

1.

Burroughs, Benjamin, et al.. (2019). #VegasStrong: Sport, Public Memorialization, and the Golden Knights. Communication & Sport. 9(1). 110–127. 8 indexed citations

2.

Becker, David. (2017). Pediatric Integrative Medicine. Primary Care Clinics in Office Practice. 44(2). 337–350. 1 indexed citations

3.

Becker, David. (2017). Predicting outcomes for big data projects: Big Data Project Dynamics (BDPD): Research in progress. 2320–2330. 11 indexed citations

4.

Becker, David, et al.. (2015). Big data, big data quality problem. 2644–2653. 29 indexed citations

5.

McClafferty, Hilary, Melanie Brown, Sunita Vohra, et al.. (2014). Physician Health and Wellness. PEDIATRICS. 134(4). 830–835. 89 indexed citations

6.

Talburt, John R., et al.. (2014). Information quality research challenge. Journal of Data and Information Quality. 5(1-2). 1–3. 3 indexed citations

7.

Desch, Larry W., Lawrence D. Rosen, Michelle Bailey, et al.. (2012). Sensory Integration Therapies for Children With Developmental and Behavioral Disorders. PEDIATRICS. 129(6). 1186–1189. 148 indexed citations

8.

Lyons, Leilah, David Becker, & Jessica Roberts. (2010). Analyzing the Affordances of Mobile Technologies for Informal Science Learning. 5(1). 87–102. 7 indexed citations

9.

Becker, David, et al.. (2009). Flexible and Generic Data Quality Metadata Exchange.. ICIQ. 31–45. 2 indexed citations

10.

Won, Sungho, Lars Bertram, David Becker, Rudolph E. Tanzi, & Christoph Lange. (2009). Maximizing the Power of Genome-Wide Association Studies: A Novel Class of Powerful Family-Based Association Tests. Statistics in Biosciences. 1(2). 125–143. 5 indexed citations

11.

Becker, David, et al.. (2007). A Flexible And Generic Data Quality Metamodel.. ICIQ. 68(2). 50–64. 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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