Pamela J. Smith

36 total papers · 962 total citations
20 papers, 560 citations indexed

About

Pamela J. Smith is a scholar working on Management of Technology and Innovation, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Pamela J. Smith has authored 20 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management of Technology and Innovation, 12 papers in Economics and Econometrics and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Pamela J. Smith's work include Intellectual Property and Patents (12 papers), Global trade and economics (9 papers) and Firm Innovation and Growth (7 papers). Pamela J. Smith is often cited by papers focused on Intellectual Property and Patents (12 papers), Global trade and economics (9 papers) and Firm Innovation and Growth (7 papers). Pamela J. Smith collaborates with scholars based in United States, Canada and United Kingdom. Pamela J. Smith's co-authors include Warren B. Miller, L. Martin Cloutier, E. Richard Gold, Abdallah S. Daar, David Castle, Amy Jocelyn Glass, Jean‐Frédéric Morin, Hélène Delerue, Luc Cassivi and Tania Bubela and has published in prestigious journals such as Trends in biotechnology, Journal of International Economics and American Journal of Agricultural Economics.

In The Last Decade

Pamela J. Smith

19 papers receiving 490 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pamela J. Smith	423	314	201	135	49	20	560
Katharine Rockett	508 1.2×	365 1.2×	108 0.5×	169 1.3×	16 0.3×	29	664
Jonathan Putnam	590 1.4×	487 1.6×	28 0.1×	139 1.0×	20 0.4×	9	686
Emek Basker	400 0.9×	25 0.1×	77 0.4×	101 0.7×	25 0.5×	26	563
Marzia Romanelli	463 1.1×	240 0.8×	78 0.4×	141 1.0×	8 0.2×	18	622
Per Botolf Maurseth	513 1.2×	158 0.5×	69 0.3×	159 1.2×	10 0.2×	26	637
Wilson Peres	251 0.6×	54 0.2×	188 0.9×	127 0.9×	3 0.1×	19	511
Jacob A. Jordaan	356 0.8×	72 0.2×	288 1.4×	308 2.3×	4 0.1×	38	635
Alexander Gerybadze	197 0.5×	98 0.3×	34 0.2×	381 2.8×	7 0.1×	27	504
Ray Oakey	277 0.7×	297 0.9×	18 0.1×	201 1.5×	4 0.1×	23	538
N. S. Siddharthan	394 0.9×	29 0.1×	367 1.8×	459 3.4×	7 0.1×	31	698

Countries citing papers authored by Pamela J. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Pamela J. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. Smith. A scholar is included among the top collaborators of Pamela J. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pamela J. Smith. Pamela J. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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