Kyle Higham

455 total citations · 1 hit paper
9 papers, 255 citations indexed

About

Kyle Higham is a scholar working on Economics and Econometrics, Management of Technology and Innovation and Statistics, Probability and Uncertainty. According to data from OpenAlex, Kyle Higham has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in Management of Technology and Innovation and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Kyle Higham's work include Intellectual Property and Patents (4 papers), scientometrics and bibliometrics research (3 papers) and Economic and Technological Innovation (2 papers). Kyle Higham is often cited by papers focused on Intellectual Property and Patents (4 papers), scientometrics and bibliometrics research (3 papers) and Economic and Technological Innovation (2 papers). Kyle Higham collaborates with scholars based in New Zealand, Japan and Switzerland. Kyle Higham's co-authors include Adam B. Jaffe, Gaétan de Rassenfosse, Michele Governale, U. Zülicke, Caterina De Bacco and Orion Penner and has published in prestigious journals such as PLoS ONE, Research Policy and Technological Forecasting and Social Change.

In The Last Decade

Kyle Higham

8 papers receiving 249 citations

Hit Papers

Patent Quality: Towards a Systematic Framework for Analys... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyle Higham New Zealand 7 149 124 58 27 22 9 255
Giuditta De Prato Spain 8 132 0.9× 62 0.5× 101 1.7× 23 0.9× 12 0.5× 22 240
Maurizio Iacopetta France 8 183 1.2× 59 0.5× 60 1.0× 19 0.7× 12 0.5× 25 273
Nicola Grassano Spain 7 114 0.8× 40 0.3× 62 1.1× 9 0.3× 46 2.1× 18 228
Tom Magerman Belgium 8 150 1.0× 169 1.4× 81 1.4× 32 1.2× 35 1.6× 16 294
Byeongwoo Kang Japan 9 159 1.1× 150 1.2× 122 2.1× 27 1.0× 21 1.0× 28 299
Pascal Billand France 8 183 1.2× 46 0.4× 143 2.5× 101 3.7× 22 1.0× 32 325
Jeffrey M. Kuhn United States 8 223 1.5× 237 1.9× 65 1.1× 20 0.7× 23 1.0× 15 331
Ryan Lampe United States 7 199 1.3× 200 1.6× 83 1.4× 26 1.0× 17 0.8× 19 301
Emanuele Pugliese Italy 12 343 2.3× 31 0.3× 57 1.0× 39 1.4× 3 0.1× 20 457
Martin A. Bader Switzerland 11 123 0.8× 147 1.2× 152 2.6× 18 0.7× 2 0.1× 37 297

Countries citing papers authored by Kyle Higham

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Higham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Higham

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Higham. A scholar is included among the top collaborators of Kyle Higham 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 Kyle Higham. Kyle Higham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rassenfosse, Gaétan de, Kyle Higham, & Orion Penner. (2022). Scientific rewards for biomedical specialization are large and persistent. BMC Biology. 20(1). 211–211.
2.
Higham, Kyle, et al.. (2022). Patent citation generation at the triadic offices: Mechanisms and implications for analysis. SSRN Electronic Journal. 1 indexed citations
3.
Higham, Kyle, et al.. (2022). Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships. Technological Forecasting and Social Change. 179. 121628–121628. 18 indexed citations
4.
Higham, Kyle, Gaétan de Rassenfosse, & Adam B. Jaffe. (2021). Patent Quality: Towards a Systematic Framework for Analysis and Measurement. Research Policy. 50(4). 104215–104215. 146 indexed citations breakdown →
5.
Rassenfosse, Gaétan de & Kyle Higham. (2021). Decentralising the patent system. Government Information Quarterly. 38(2). 101559–101559. 10 indexed citations
6.
Higham, Kyle, Michele Governale, Adam B. Jaffe, & U. Zülicke. (2019). Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth. Physical review. E. 99(6). 60301–60301. 16 indexed citations
7.
Higham, Kyle, et al.. (2018). Look who’s talking: Two-mode networks as representations of a topic model of New Zealand parliamentary speeches. PLoS ONE. 13(6). e0199072–e0199072. 16 indexed citations
8.
Higham, Kyle, Michele Governale, Adam B. Jaffe, & U. Zülicke. (2017). Fame and obsolescence: Disentangling growth and aging dynamics of patent citations. Physical review. E. 95(4). 42309–42309. 26 indexed citations
9.
Higham, Kyle, Michele Governale, Adam B. Jaffe, & U. Zülicke. (2017). Unraveling the dynamics of growth, aging and inflation for citations to scientific articles from specific research fields. Journal of Informetrics. 11(4). 1190–1200. 22 indexed citations

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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