Jake Bowers

2.1k citations
29 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

Jake Bowers

28 papers receiving 1.1k citations

Jake Bowers's Hit Papers

Politics across Generations: Family Transmission Reexamined 2009 · 669 citations
6690+5+11Years since publication200400600

Peers

Jake Bowers
Comparison fields: 5 of 97
  • Communication 249
  • Political Science and International Relations 526
  • Statistics and Probability 132
  • Sociology and Political Science 726
  • Gender Studies 144
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Jake Bowers relative to John G. Bullock United States John G. Bullock's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Politics across Generations: Family Transmission Reexamined
Hit paper breakdown →
2009669
2 201296
3 201275
4 200564
5 200957
6 200248
7 202240
8 200839
9
Politics Across Generations: Family Transmission Reexamined
200125
10 201123
11 201919
12 201814
13 201810
14 20168
15 20188
16 20047
17
Politics across generations
19997
18 20175
19 20125
20 20044

About Jake Bowers

Jake Bowers is a scholar working on Sociology and Political Science, Statistics and Probability, Political Science and International Relations, Economics and Econometrics and Electrical and Electronic Engineering, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (10 papers), Advanced Causal Inference Techniques (9 papers), Social Capital and Networks (4 papers), Quantum Dots Synthesis And Properties (3 papers), Statistical Methods and Inference (3 papers), Urban, Neighborhood, and Segregation Studies (3 papers), Economic and Environmental Valuation (2 papers) and Media Influence and Politics (2 papers). The work is most often cited by research in Communication (249 citations), Political Science and International Relations (526 citations), Statistics and Probability (132 citations), Sociology and Political Science (726 citations) and Gender Studies (144 citations). Jake Bowers has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Laura Stoker, M. Kent Jennings, Ben B. Hansen, Costas Panagopoulos, Cara Wong, David Glick, Nathaniel Rabb, David Yokum, Peter M. Aronow and Duncan J. Watts. Their work appears in journals such as Political Analysis, The Journal of Politics, Revista de ciencia política, Statistical Science and Electoral Studies.

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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