Daniel A. Powers

5.8k citations
73 papers · 4.4k · 1 hit paper · h-index 29

Impact in

  • Health top 0.5%
    • Health disparities and outcomes
  • Demography top 0.5%
    • Family Dynamics and Relationships

Papers in

Daniel A. Powers

72 papers receiving 4.0k citations

Daniel A. Powers's Hit Papers

Statistical Methods for Categorical Data Analysis 1999 · 677 citations
6770+9+18Years since publication200400600

Peers

Daniel A. Powers
Comparison fields: 5 of 170
  • Health 936
  • Demography 624
  • Gender Studies 378
  • Sociology and Political Science 1.7k
  • General Health Professions 803
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Citations per year

Countries citing papers authored by Daniel A. Powers

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel A. Powers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel A. Powers Line = papers co-authored together Daniel A. Powers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Methods for Categorical Data Analysis
Hit paper breakdown →
1999677
2 2006490
3 2007272
4 2011227
5
The contact hypothesis and racial attitudes among Black Americans.
1994221
6 2005220
7 2013218
8 2002194
9 1995192
10 2012160
11 2009113
12 1996113
13 1995107
14 200989
15 200479
16 201575
17 201372
18 201161
19 199560
20 201452

About Daniel A. Powers

Daniel A. Powers is a scholar working on Health, Sociology and Political Science, General Health Professions, Demography and Pediatrics, Perinatology and Child Health, having authored 73 papers that have together received 4.4k indexed citations. Recurring topics across this work include Health disparities and outcomes (21 papers), Birth, Development, and Health (10 papers), Insurance, Mortality, Demography, Risk Management (7 papers), Global Health Care Issues (7 papers), Migration, Health and Trauma (7 papers), Intergenerational and Educational Inequality Studies (7 papers), Family Dynamics and Relationships (6 papers) and Urban, Neighborhood, and Segregation Studies (6 papers). The work is most often cited by research in Health (936 citations), Demography (624 citations), Gender Studies (378 citations), Sociology and Political Science (1.7k citations) and General Health Professions (803 citations). Daniel A. Powers has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Christopher G. Ellison, Robert A. Hummer, Debra Umberson, Kristi Williams, Ryan K. Masters, Myeong‐Su Yun, Belinda L. Needham, Hui Liu, Hirotoshi Yoshioka and W. Parker Frisbie. Their work appears in journals such as Demography, Social Science Research, Population Research and Policy Review, Social Forces and Sociological Methods & Research.

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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