Andrew Philips

1.2k total citations · 1 hit paper
36 papers, 844 citations indexed

About

Andrew Philips is a scholar working on Economics and Econometrics, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Andrew Philips has authored 36 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 13 papers in Political Science and International Relations and 8 papers in Sociology and Political Science. Recurrent topics in Andrew Philips's work include Electoral Systems and Political Participation (11 papers), Fiscal Policies and Political Economy (7 papers) and Monetary Policy and Economic Impact (6 papers). Andrew Philips is often cited by papers focused on Electoral Systems and Political Participation (11 papers), Fiscal Policies and Political Economy (7 papers) and Monetary Policy and Economic Impact (6 papers). Andrew Philips collaborates with scholars based in United States, United Kingdom and Australia. Andrew Philips's co-authors include Soren Jordan, Kendall D. Funk, Guy D. Whitten, Amanda Rutherford, Allyson Lucinda Benton, Christine S. Lipsmeyer, David S. Brown, S.P. Milroy, Séverin Hatt and Wei Xu and has published in prestigious journals such as American Journal of Political Science, The Journal of Politics and Applied Geography.

In The Last Decade

Andrew Philips

30 papers receiving 810 citations

Hit Papers

Cointegration Testing and Dynamic Simulations of Autoregr... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Philips United States 11 574 246 186 124 116 36 844
Rafael E. De Hoyos United States 10 952 1.7× 259 1.1× 53 0.3× 117 0.9× 246 2.1× 21 1.3k
Jinlan Ni United States 15 573 1.0× 121 0.5× 56 0.3× 298 2.4× 59 0.5× 42 909
Damiaan Persyn Belgium 8 607 1.1× 145 0.6× 79 0.4× 78 0.6× 212 1.8× 26 792
Thomas Eichner Germany 21 862 1.5× 259 1.1× 109 0.6× 87 0.7× 85 0.7× 98 1.2k
Tsun Se Cheong Hong Kong 17 765 1.3× 220 0.9× 61 0.3× 270 2.2× 37 0.3× 55 988
Chí Minh Hồ Vietnam 15 399 0.7× 160 0.7× 39 0.2× 60 0.5× 64 0.6× 45 663
Sebastian Kripfganz United Kingdom 12 503 0.9× 160 0.7× 25 0.1× 67 0.5× 123 1.1× 18 698
Meltem Ucal Türkiye 11 411 0.7× 175 0.7× 34 0.2× 122 1.0× 100 0.9× 32 704
Jülide Yıldırım Türkiye 17 766 1.3× 79 0.3× 64 0.3× 55 0.4× 171 1.5× 47 1.1k

Countries citing papers authored by Andrew Philips

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Philips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Philips

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Philips. A scholar is included among the top collaborators of Andrew Philips 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 Andrew Philips. Andrew Philips 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.
Lipsmeyer, Christine S., et al.. (2024). Look over there. Where? A compositional approach to the modeling of public opinion on the most important problem. Social Science Quarterly. 105(4). 913–933.
2.
Lipsmeyer, Christine S., Andrew Philips, Amanda Rutherford, & Guy D. Whitten. (2024). Bad times keep us together: Policy priorities and economic shocks. Social Science Quarterly. 105(4). 934–947.
4.
Philips, Andrew, et al.. (2023). Synthesize This: Meta-Analysis as a Dissertation Tool. PS Political Science & Politics. 57(1). 70–75.
5.
Lipsmeyer, Christine S., Andrew Philips, & Guy D. Whitten. (2023). The Politics of Budgets. Cambridge University Press eBooks. 6 indexed citations
6.
Hopkins, Vincent C., et al.. (2023). How Do We Know What We Know? Learning from Monte Carlo Simulations. The Journal of Politics. 86(1). 36–53. 1 indexed citations
7.
Philips, Andrew, et al.. (2023). Does Job Insecurity Shape Policy Preferences? An Experimental Manipulation of Labor Market Risk. The Journal of Politics. 86(2). 804–809. 2 indexed citations
8.
Jordan, Soren, et al.. (2022). How to Cautiously Uncover the “Black Box” of Machine Learning Models for Legislative Scholars. Legislative Studies Quarterly. 48(1). 165–202. 2 indexed citations
9.
Philips, Andrew, et al.. (2022). A Moveable Benefit? Spillover Effects of Quotas on Women’s Numerical Representation. Political Research Quarterly. 76(2). 680–696. 5 indexed citations
10.
Funk, Kendall D., et al.. (2021). Point break: using machine learning to uncover a critical mass in women's representation. Political Science Research and Methods. 10(2). 372–390. 16 indexed citations
11.
Philips, Andrew. (2021). How to avoid incorrect inferences (while gaining correct ones) in dynamic models. Political Science Research and Methods. 10(4). 879–889. 7 indexed citations
12.
Jordan, Soren & Andrew Philips. (2020). Exploring meaningful visual effects and quantities of interest from dynamic models through dynamac. The Journal of Open Source Software. 5(54). 2528–2528.
13.
Philips, Andrew, et al.. (2019). Globalization and comparative compositional inequality. Political Science Research and Methods. 8(3). 509–525. 7 indexed citations
14.
Funk, Kendall D. & Andrew Philips. (2018). Representative Budgeting: Women Mayors and the Composition of Spending in Local Governments. Political Research Quarterly. 72(1). 19–33. 77 indexed citations
15.
Lipsmeyer, Christine S., Andrew Philips, Amanda Rutherford, & Guy D. Whitten. (2017). Comparing Dynamic Pies: A Strategy for Modeling Compositional Variables in Time and Space. Political Science Research and Methods. 7(3). 523–540. 6 indexed citations
16.
Philips, Andrew. (2017). Manipulating the Masses: New Theories of Political Cycles. OakTrust (Texas A&M University Libraries). 1 indexed citations
17.
Philips, Andrew. (2016). Seeing the forest through the trees: a meta-analysis of political budget cycles. Public Choice. 168(3-4). 313–341. 58 indexed citations
18.
Philips, Andrew, Amanda Rutherford, & Guy D. Whitten. (2016). Dynsimpie: A Command to Examine Dynamic Compositional Dependent Variables. The Stata Journal Promoting communications on statistics and Stata. 16(3). 662–677. 12 indexed citations
19.
Philips, Andrew, Amanda Rutherford, & Guy D. Whitten. (2015). The dynamic battle for pieces of pie—Modeling party support in multi-party nations. Electoral Studies. 39. 264–274. 14 indexed citations
20.
Philips, Andrew, et al.. (2009). Ciudad de la Justicia de Barcelona y L’Hospitalet de Llobregat. 72–79. 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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