James Pemberton

1.1k citations
56 papers · 551 · h-index 14

Impact in

Papers in

James Pemberton

53 papers receiving 520 citations

Peers

James Pemberton
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 216
  • Public Administration 30
  • General Economics, Econometrics and Finance 61
  • Economics and Econometrics 131
  • Accounting 55
Replace Giovanni Luzzi with:
Giovanni Luzzi Italy
Benjamin Aaron United States
James E. Dougherty United States
Harvey J. Tucker United States
John L. Simpson Australia
Yi Lee United States
Dan Marek Czechia
David Miller United States
Francisco Marcos Spain
Farrukh Iqbal Pakistan
James Pemberton relative to Giovanni Luzzi Italy Giovanni Luzzi's profile →
Citations per field
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Citations per year

Countries citing papers authored by James Pemberton

Since Specialization
Citations

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

Fields of papers citing papers by James Pemberton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198860
2 200544
3 200543
4 200736
5 201432
6 201622
7 200622
8 199618
9 199316
10 199916
11 201415
12 201115
13 199214
14 201613
15 200013
16 198112
17 197411
18 200410
19 200410
20 200510

About James Pemberton

James Pemberton is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics, Epidemiology, Surgery and General Economics, Econometrics and Finance, having authored 56 papers that have together received 551 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (10 papers), Economic theories and models (8 papers), Monetary Policy and Economic Impact (7 papers), Cardiovascular Function and Risk Factors (6 papers), Fiscal Policy and Economic Growth (5 papers), Financial Literacy, Pension, Retirement Analysis (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Cardiac Structural Anomalies and Repair (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (216 citations), Public Administration (30 citations), General Economics, Econometrics and Finance (61 citations), Economics and Econometrics (131 citations) and Accounting (55 citations). James Pemberton has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include David J. Sahn, Tom Kai Ming Wang, Xiaokui Li, Antoinette Kenny, Jamie Voss, Greg Gamble, Nicholas Kang, Mary S. Minette, Muhammad Ashraf and Peter Lysyansky. Their work appears in journals such as The Economic Journal, Journal of the American Society of Echocardiography, Journal of Ultrasound in Medicine, International Journal of Cardiology and Economics Letters.

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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