Jake Bowers

2.0k citations
27 papers · 1.1k indexed · 1 hit paper · h-index 11

Impact in

Papers in

Jake Bowers

26 papers receiving 1.0k citations

Hit Papers

Politics across Generations: Family Transmission Reexamined 2009 · 601 citations
6012009202620142020200400600

Peers

Jake Bowers
Comparison fields: 5 of 102
  • Communication 227
  • Political Science and International Relations 479
  • Sociology and Political Science 653
  • Statistics and Probability 114
  • Gender Studies 129
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Jake Bowers

Since Specialization
Citations

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

Fields of papers citing papers by Jake Bowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jake Bowers, 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 Jake Bowers Line = papers co-authored together Jake Bowers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202238
3 201917
4 20189
5 20188
6 20181
7 20174
8 20166
9 201290
10 20125
11 201269
12 200838
13
Deadline Effects in Regulatory Drug Review: A Methodological and Empirical Analysis
20074
14 200560
15
Attributing Effects in Cluster Randomized Trials and Observational Studies: The Case of a Get Out The Vote Campaign
20052
16
Using R to Keep it Simple: Exploring Structure in Multilevel Datasets
20041
17 20044
18 200241
19
Politics Across Generations: Family Transmission Reexamined
200122
20
Politics across generations
19997

About Jake Bowers

Jake Bowers is a scholar working on Statistics and Probability, General Decision Sciences, Political Science and International Relations, General Social Sciences and Sociology and Political Science, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (10 papers), Advanced Causal Inference Techniques (8 papers), Social Capital and Networks (4 papers), Quantum Dots Synthesis And Properties (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers), Economic and Environmental Valuation (2 papers), Media Influence and Politics (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Communication (227 citations), Political Science and International Relations (479 citations), Sociology and Political Science (653 citations), Statistics and Probability (114 citations) and Gender Studies (129 citations). Jake Bowers has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Laura Stoker, M. Kent Jennings, Ben B. Hansen, Costas Panagopoulos, Cara Wong, Kathryn Simmons, David Glick, David Yokum, Nathaniel Rabb and Peter M. Aronow. Their work appears in journals such as Political Analysis, The Journal of Politics, Sociological Methodology, Advanced Materials Technologies and Political Science Research and Methods.

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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