Daniel M. Smith

1.8k citations
97 papers · 892 indexed · h-index 17

Impact in

Papers in

Daniel M. Smith

85 papers receiving 813 citations

Peers

Daniel M. Smith
Comparison fields: 5 of 80
  • Political Science and International Relations 552
  • Gender Studies 213
  • Strategy and Management 122
  • Communication 48
  • Public Administration 21
Replace M. V. Hood with:
M. V. Hood United States
Eric R. Hansen United States
Sally J. Kenney United States
Robert L. Savage United States
Charles Tien United States
A. H. Birch Canada
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Paul Copeland United Kingdom
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Daniel M. Smith relative to M. V. Hood United States M. V. Hood's profile →
Citations per field
00.5×3.7×
M. V. Hood · 1×
Citations per year

Countries citing papers authored by Daniel M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201098
2 201849
3 201840
4 201639
5 202033
6 202031
7 196930
8 201828
9 201628
10 202227
11 201625
12 201924
13 201723
14 199518
15 201418
16
Succeeding in Politics: Dynasties in Democracies
201217
17 202117
18 196316
19 201515
20 201415

About Daniel M. Smith

Daniel M. Smith is a scholar working on Gender Studies, Political Science and International Relations, Communication, Public Administration and Electrical and Electronic Engineering, having authored 97 papers that have together received 892 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (27 papers), 3D IC and TSV technologies (19 papers), Gender Politics and Representation (17 papers), Semiconductor materials and devices (14 papers), Social Policy and Reform Studies (10 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers), Electronic Packaging and Soldering Technologies (8 papers) and Radio Frequency Integrated Circuit Design (7 papers). The work is most often cited by research in Political Science and International Relations (552 citations), Gender Studies (213 citations), Strategy and Management (122 citations), Communication (48 citations) and Public Administration (21 citations). Daniel M. Smith has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Jon H. Fiva, Kaare W. Strøm, Wolfgang C. Müller, Gary W. Cox, Shane Martin, Yusaku Horiuchi, Teppei Yamamoto, Gabriel Kolko, Johanna Rickne and Olle Folke. Their work appears in journals such as Journal of American History, The Journal of Southern History, The Journal of Politics, Comparative Political Studies and American Political Science Review.

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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