Jon Gjerde

917 citations
43 papers · 522 · h-index 13

Impact in

Papers in

Jon Gjerde

33 papers receiving 429 citations

Peers

Jon Gjerde
Comparison fields: 5 of 87
  • Geochemistry and Petrology 46
  • Finance 59
  • Economics and Econometrics 160
  • Demography 61
  • Statistics, Probability and Uncertainty 36
Replace Kazuo Nishimura with:
Kazuo Nishimura Japan
John Armstrong United Kingdom
David S. Siroky United States
Amit Sen India
A. R. Tremayne United Kingdom
Duangkamon Chotikapanich Australia
Martin Fleischmann United Kingdom
Michael R. Caputo United States
Bertrand M. Roehner France
Jon Gjerde relative to Kazuo Nishimura Japan Kazuo Nishimura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jon Gjerde

Since Specialization
Citations

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

Fields of papers citing papers by Jon Gjerde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199999
2 200354
3 199850
4 199836
5 198836
6 199727
7 199827
8 199826
9 199522
10 198617
11 199515
12 198914
13 198613
14 200511
15 201110
16 19978
17 20008
18 19866
19 19796
20 19984

About Jon Gjerde

Jon Gjerde is a scholar working on Sociology and Political Science, Economics and Econometrics, Political Science and International Relations, Marketing and Finance, having authored 43 papers that have together received 522 indexed citations. Recurring topics across this work include Race, History, and American Society (7 papers), Migration, Ethnicity, and Economy (7 papers), Canadian Identity and History (4 papers), American Constitutional Law and Politics (4 papers), Stochastic processes and financial applications (3 papers), Historical Economic and Social Studies (3 papers), American History and Culture (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Geochemistry and Petrology (46 citations), Finance (59 citations), Economics and Econometrics (160 citations), Demography (61 citations) and Statistics, Probability and Uncertainty (36 citations). Jon Gjerde has collaborated with scholars based in Norway, United States and Azerbaijan. Frequent co-authors include Snorre Kverndokk, Sverre Grepperud, Fred Espen Benth, Peter H. Argersinger, Anne E. C. McCants, Royden Loewen, Lars Holden, John Bodnar, Petter Mostad and Bjørn Fredrik Nielsen. Their work appears in journals such as The American Historical Review, Journal of American History, The Journal of Interdisciplinary History, Western Historical Quarterly and International Migration 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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