Donal Smith

448 citations
8 papers · 254 indexed · h-index 6

Donal Smith

6 papers receiving 237 citations

Peers

Donal Smith
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 69
  • Economics and Econometrics 92
  • General Economics, Econometrics and Finance 24
  • Strategy and Management 34
  • Cardiology and Cardiovascular Medicine 41
Replace Farrukh Iqbal with:
Farrukh Iqbal Pakistan
Pedro Silva Portugal
Kou Kou Australia
Benedetto Torrisi Italy
Dimitris Papadimitriou United Kingdom
Xuehua Zhang China
Nikhil Patel United Kingdom
Martín Guzmán United States
Arno Brandt Switzerland
Michaela Fuchs Germany
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Citations per field
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Citations per year

Countries citing papers authored by Donal Smith

Since Specialization
Citations

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

Fields of papers citing papers by Donal Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Donal 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 Donal Smith Line = papers co-authored together Donal Smith links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2017143
2
Modelling the Medium to Long Term Potential Macroeconomic Impact of Brexit on Ireland
201612
3 201363
4 20139
5
What Determines the Location Choice of Multinational R&D Firms?
20100
6 198612
7 198014
8 19661

About Donal Smith

Donal Smith is a scholar working on Public Administration, Economics and Econometrics, Political Science and International Relations, General Economics, Econometrics and Finance and Strategy and Management, having authored 8 papers that have together received 254 indexed citations. Recurring topics across this work include Regional Development and Policy (3 papers), Firm Innovation and Growth (2 papers), Regional Economics and Spatial Analysis (2 papers), Labor Movements and Unions (1 paper), Economic and Environmental Valuation (1 paper), Global trade and economics (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Energy, Environment, and Transportation Policies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (69 citations), Economics and Econometrics (92 citations), General Economics, Econometrics and Finance (24 citations), Strategy and Management (34 citations) and Cardiology and Cardiovascular Medicine (41 citations). Donal Smith has collaborated with scholars based in Ireland, Australia and Czechia. Frequent co-authors include Xiaoheng Zhang, Iulia Siedschlag, Eliot A. Brinton, Paul S. Jellinger, George Grunberger, Yehuda Handelsman, Chris Guerin, Vivian Fonseca, Rachel Pessah‐Pollack and Sergio Fazio. Their work appears in journals such as The Journal of Human Resources, Endocrine Practice, Research Policy, Econometrica and Economics of Innovation and New Technology.

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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