Stephen Carley

1.4k citations
33 papers · 1.1k indexed · h-index 17

Impact in

Papers in

Stephen Carley

31 papers receiving 1.0k citations

Peers

Stephen Carley
Comparison fields: 5 of 160
  • Statistics, Probability and Uncertainty 207
  • Information Systems and Management 134
  • Management of Technology and Innovation 126
  • Pollution 113
  • Management Science and Operations Research 117
Replace Jian Qin with:
Jian Qin United States
Zeyuan Liu China
Ming‐Yueh Tsay Taiwan
Pei-Chun Lee Taiwan
Lucheng Huang China
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Carley

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Carley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20218
2 202023
3 20191
4 201923
5 20192
6
Contest: Measuring Tech Emergence
20181
7 201852
8 201813
9 201742
10 201714
11 201630
12 20141
13 2012220
14 201218
15 201221
16
Charting Nano Environmental, Health, & Safety Research Trajectories: Is China Convergent with the United States?
20113
17 201121
18 20113
19 2011264
20
Graphene Research Profile: UK and US Publications, 2000-2010
20103

About Stephen Carley

Stephen Carley is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research, Information Systems and Management, Human Factors and Ergonomics and Computer Science Applications, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (9 papers), scientometrics and bibliometrics research (9 papers), Economic and Technological Innovation (6 papers), Biomedical Text Mining and Ontologies (4 papers), Innovative Teaching and Learning Methods (4 papers), Interdisciplinary Research and Collaboration (3 papers), Online Learning and Analytics (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (207 citations), Information Systems and Management (134 citations), Management of Technology and Innovation (126 citations), Pollution (113 citations) and Management Science and Operations Research (117 citations). Stephen Carley has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alan L. Porter, Loet Leydesdorff, Ismael Ràfols, Nils C. Newman, Albert A. Koelmans, Stephen J. Klaine, Bernd Nowack, Frank von der Kammer, Nina Horne and Richard D. Handy. Their work appears in journals such as Scientometrics, Technological Forecasting and Social Change, Research Evaluation, Journal of Nanoparticle Research and Journal of Data and Information Science.

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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