Kyle Higham

455 citations
9 papers · 255 · 1 hit paper · h-index 7

Impact in

Papers in

Kyle Higham

8 papers receiving 249 citations

Kyle Higham's Hit Papers

Patent Quality: Towards a Systematic Framework for Analysis and Measurement 2021 · 146 citations
1460+1+3Years since publication4080120

Peers

Kyle Higham
Comparison fields: 5 of 51
  • Management of Technology and Innovation 124
  • Economics and Econometrics 149
  • Strategy and Management 58
  • Statistics, Probability and Uncertainty 22
  • General Social Sciences 10
Replace Tom Magerman with:
Tom Magerman Belgium
Giuditta De Prato Spain
Maurizio Iacopetta France
Nicola Grassano Spain
Pascal Billand France
Markus Nordberg Switzerland
Julian Kolev United States
Byeongwoo Kang Japan
Ryan Lampe United States
Jeffrey M. Kuhn United States
Kyle Higham relative to Tom Magerman Belgium Tom Magerman's profile →
Citations per field
00.5×11×
Tom Magerman · 1×
Citations per year

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-authors

The 6 scholars most cited alongside Kyle Higham, 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 Kyle Higham Line = papers co-authored together Kyle Higham links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Patent Quality: Towards a Systematic Framework for Analysis and Measurement
Hit paper breakdown →
2021146
2 201726
3 201722
4 202218
5 201916
6 201816
7 202110
8 20221
9 20220

About Kyle Higham

Kyle Higham is a scholar working on Economics and Econometrics, Management of Technology and Innovation, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 255 indexed citations. Recurring topics across this work include Intellectual Property and Patents (4 papers), scientometrics and bibliometrics research (3 papers), Innovation Diffusion and Forecasting (2 papers), Innovation Policy and R&D (2 papers), Economic and Technological Innovation (2 papers), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Management of Technology and Innovation (124 citations), Economics and Econometrics (149 citations), Strategy and Management (58 citations), Statistics, Probability and Uncertainty (22 citations) and General Social Sciences (10 citations). Kyle Higham has collaborated with scholars based in New Zealand, Japan and Switzerland. Frequent co-authors include Adam B. Jaffe, Gaétan de Rassenfosse, Michele Governale, U. Zülicke, Caterina De Bacco and Orion Penner. Their work appears in journals such as Physical review. E, BMC Biology, Government Information Quarterly, Journal of Informetrics and Research Policy.

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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