Robert J. Newman

1.9k total citations
45 papers, 1.4k citations indexed

About

Robert J. Newman is a scholar working on Economics and Econometrics, Public Administration and Surgery. According to data from OpenAlex, Robert J. Newman has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 13 papers in Public Administration and 5 papers in Surgery. Recurrent topics in Robert J. Newman's work include Labor Movements and Unions (13 papers), Labor market dynamics and wage inequality (9 papers) and Fiscal Policy and Economic Growth (6 papers). Robert J. Newman is often cited by papers focused on Labor Movements and Unions (13 papers), Labor market dynamics and wage inequality (9 papers) and Fiscal Policy and Economic Growth (6 papers). Robert J. Newman collaborates with scholars based in United States and United Kingdom. Robert J. Newman's co-authors include William J. Moore, William J. Moore, Dennis H. Sullivan, Geoffrey K. Turnbull, Bronwyn Williams, D. L. Hamblen, William Gilchrist, George H. Lowery, Steven A. Morrison and Stephen Färber and has published in prestigious journals such as The Lancet, PLoS ONE and The Review of Economics and Statistics.

In The Last Decade

Robert J. Newman

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Newman United States 19 630 224 133 132 122 45 1.4k
Patricia Day Argentina 19 205 0.3× 173 0.8× 235 1.8× 142 1.1× 43 0.4× 82 1.4k
Jonathan Morris United Kingdom 20 81 0.1× 137 0.6× 72 0.5× 128 1.0× 61 0.5× 75 1.0k
H. Naci Mocan Türkiye 22 358 0.6× 12 0.1× 223 1.7× 66 0.5× 44 0.4× 89 1.7k
Michael Atkinson Canada 12 156 0.2× 53 0.2× 49 0.4× 169 1.3× 13 0.1× 50 709
Allen Kaufman United States 21 173 0.3× 16 0.1× 385 2.9× 50 0.4× 286 2.3× 76 2.4k
Michael J. Rizzo United States 17 175 0.3× 33 0.1× 384 2.9× 41 0.3× 489 4.0× 40 1.2k
Laszlo Goerke Germany 16 509 0.8× 119 0.5× 19 0.1× 113 0.9× 53 0.4× 130 929
Markku Laakso Finland 13 419 0.7× 49 0.2× 153 1.2× 1.9k 14.4× 120 1.0× 19 2.6k
Ian Greener United Kingdom 24 272 0.4× 177 0.8× 6 0.0× 403 3.1× 173 1.4× 101 1.6k
John Whitaker United Kingdom 21 1.0k 1.7× 6 0.0× 46 0.3× 68 0.5× 44 0.4× 77 1.8k

Countries citing papers authored by Robert J. Newman

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Newman. 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 Robert J. Newman. The network helps show where Robert J. Newman may publish in the future.

Co-authorship network of co-authors of Robert J. Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Newman. A scholar is included among the top collaborators of Robert J. Newman 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 Robert J. Newman. Robert J. Newman 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.
Hwang, Michael S., Nancy Yu, Yue Peng, et al.. (2013). miR-221/222 Targets Adiponectin Receptor 1 to Promote the Epithelial-to-Mesenchymal Transition in Breast Cancer. PLoS ONE. 8(6). e66502–e66502. 115 indexed citations
2.
Newman, Robert J., Doyle M. Cummings, Valerie King, et al.. (2008). Predictive Value of Exercise Stress Testing in a Family Medicine Population. The Journal of the American Board of Family Medicine. 21(6). 531–538. 9 indexed citations
3.
Moore, William J., Robert J. Newman, & Dek Terrell. (2007). Academic Pay in the United Kingdom and the United States: The Differential Returns to Productivity and the Lifetime Earnings Gap. Southern Economic Journal. 73(3). 717–732. 15 indexed citations
4.
Charter, Richard A., et al.. (2000). Psychometric Properties of the Halstead Category Test. The Clinical Neuropsychologist. 14(2). 157–161. 7 indexed citations
5.
Moore, William J., Robert J. Newman, & Geoffrey K. Turnbull. (1998). Do Academic Salaries Decline with Seniority?. Journal of Labor Economics. 16(2). 352–366. 76 indexed citations
6.
Hill, R. Carter, et al.. (1994). A simultaneous-equations model of the relationship between public sector bargaining legislation and unionization. Journal of Labor Research. 15(4). 355–372. 10 indexed citations
7.
Moore, William J., et al.. (1992). Measuring the Relationship between Income and NHEs. PubMed Central. 14(1). 133. 11 indexed citations
8.
Moore, William J. & Robert J. Newman. (1992). US Medicaid Drug Formularies. PharmacoEconomics. 1(Supplement 1). 28–31. 6 indexed citations
9.
Moore, William J. & Robert J. Newman. (1991). Government Wage Differentials in a Municipal Labor Market: The Case of Houston Metropolitan Transit Workers. Industrial and Labor Relations Review. 45(1). 145–153. 10 indexed citations
10.
Newman, Robert J. & Geoffrey K. Turnbull. (1991). The Interindustry Distribution of Effective Tax Rates for a State Corporate Income Tax. Review of Regional Studies. 21(1).
11.
Moore, William J., et al.. (1989). Welfare Expenditures and the Decline of Unions. The Review of Economics and Statistics. 71(3). 538–538. 10 indexed citations
12.
Gilchrist, William, Robert J. Newman, D. L. Hamblen, & Bronwyn Williams. (1988). Prospective randomised study of an orthopaedic geriatric inpatient service.. BMJ. 297(6656). 1116–1118. 137 indexed citations
13.
Moore, William J. & Robert J. Newman. (1988). A cross-section analysis of the postwar decline in American trade union membership. Journal of Labor Research. 9(2). 111–125. 22 indexed citations
14.
Moore, William J., James A. Dunlevy, & Robert J. Newman. (1986). Do Right to Work Laws Matter? Comment. Southern Economic Journal. 53(2). 515–515. 11 indexed citations
15.
Newman, Robert J., et al.. (1985). COMBINED ORTHOPAEDIC-GERIATRIC CARE. The Lancet. 325(8424). 349–350. 1 indexed citations
16.
Newman, Robert J.. (1977). Comparison of the antilipolytic effect of metoprolol, acebutolol, and propranolol in man.. BMJ. 2(6087). 601–603. 36 indexed citations
17.
Moore, William J. & Robert J. Newman. (1977). AN ANALYSIS OF THE QUALITY DIFFERENTIALS IN MALE-FEMALE ACADEMIC PLACEMENTS. Economic Inquiry. 15(3). 413–434. 6 indexed citations
18.
Newman, Robert J.. (1976). Comparison of propranolol, metoprolol, and acebutolol on insulin-induced hypoglycaemia.. BMJ. 2(6033). 447–449. 58 indexed citations
19.
Moore, William J., et al.. (1974). Determinants of the Passage of Right-to-Work Laws: An Alternative Interpretation. The Journal of Law and Economics. 17(1). 197–211. 67 indexed citations
20.
Newman, Robert J.. (1955). Molybdenum deficiency in Central Highlands and Upper Goulburn Regions, and adjoining districts.. 53. 451–463. 1 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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