Ko Maeda

452 citations
19 papers · 215 · h-index 8

Impact in

Papers in

Ko Maeda

16 papers receiving 189 citations

Peers

Ko Maeda
Comparison fields: 5 of 28
  • Political Science and International Relations 179
  • Development 16
  • Strategy and Management 39
  • Communication 18
  • Sociology and Political Science 90
Replace Svitlana Chernykh with:
Svitlana Chernykh United States
Elena Chebankova United Kingdom
Gyung‐Ho Jeong United States
Thomas Christin Switzerland
Daniel Chasquetti Uruguay
Bastien Irondelle France
Ben Noble United Kingdom
Paige Johnson Tan United States
Nicholas Startin United Kingdom
René Antonio Mayorga United States
Ko Maeda relative to Svitlana Chernykh United States Svitlana Chernykh's profile →
Citations per field
00.5×3.5×
Svitlana Chernykh · 1×
Citations per year

Countries citing papers authored by Ko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Ko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Ko Maeda, 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 Ko Maeda Line = papers co-authored together Ko Maeda links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201073
2 200829
3 200922
4 201822
5 200613
6 201311
7 201010
8 20118
9 20075
10 20065
11 20075
12 20164
13 20153
14 20163
15 20231
16 20171
17
Has the Electoral System Reform Made Japanese Elections Party-Centered?1
20070
18 20250
19 20250

About Ko Maeda

Ko Maeda is a scholar working on Political Science and International Relations, Strategy and Management, Sociology and Political Science, Economics and Econometrics and Communication, having authored 19 papers that have together received 215 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (13 papers), Social Policy and Reform Studies (6 papers), Political Influence and Corporate Strategies (6 papers), Populism, Right-Wing Movements (3 papers), Corruption and Economic Development (2 papers), Hong Kong and Taiwan Politics (2 papers), Political Conflict and Governance (2 papers) and Politics and Society in Latin America (1 paper). The work is most often cited by research in Political Science and International Relations (179 citations), Development (16 citations), Strategy and Management (39 citations), Communication (18 citations) and Sociology and Political Science (90 citations). Ko Maeda has collaborated with scholars based in United States and Russia. Frequent co-authors include Adam P. Liff, Misa Nishikawa and Thomas H. Hammond. Their work appears in journals such as Asian Survey, Journal of East Asian Studies, Comparative Political Studies, Electoral Studies and British Journal of Political Science.

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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