Reto Steiner

71 papers receiving 1.1k citations

Reto Steiner's Hit Papers

Exploring artificial intelligence adoption in public organizations: a comparative case study 2022 · 208 citations
2080+1+2Years since publication50100150200

Peers

Reto Steiner
Comparison fields: 5 of 99
  • Statistics, Probability and Uncertainty 281
  • Public Administration 123
  • Radiation 159
  • Management Information Systems 80
  • Computer Networks and Communications 191
Replace Keith Jackson with:
Keith Jackson United Kingdom
J.D. Dowell United Kingdom
Alan Sangster United Kingdom
Joachim Ahrens Germany
William Brown United States
Lars E.O. Svensson Sweden
Mark Westcott Australia
Vladimir Kogan United States
Stephen Hansen United Kingdom
Fred Gault United Kingdom
Reto Steiner relative to Keith Jackson United Kingdom Keith Jackson's profile →
Citations per field
00.5×10×15×20×22.7×
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Citations per year

Countries citing papers authored by Reto Steiner

Since Specialization
Citations

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

Fields of papers citing papers by Reto Steiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploring artificial intelligence adoption in public organizations: a comparative case study
Hit paper breakdown →
2022208
2 200390
3 199865
4 198961
5 201658
6 201454
7 198547
8 199746
9 200542
10 199437
11 199935
12 201633
13 199727
14 199225
15 200023
16 200223
17 198922
18 200121
19 199120
20 199720

About Reto Steiner

Reto Steiner is a scholar working on Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Political Science and International Relations, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (24 papers), Advanced Electrical Measurement Techniques (18 papers), Public Administration and Political Analysis (10 papers), Sensor Technology and Measurement Systems (10 papers), Magnetic Field Sensors Techniques (9 papers), Advanced Measurement and Metrology Techniques (5 papers), Advanced Frequency and Time Standards (5 papers) and Magneto-Optical Properties and Applications (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (281 citations), Public Administration (123 citations), Radiation (159 citations), Management Information Systems (80 citations) and Computer Networks and Communications (191 citations). Reto Steiner has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Oliver Neumann, Katharina Guirguis, David B. Newell, Edwin R. Williams, H. Baltes, A. Hàberli, P. T. Olsen, Bruce F. Field, C.A. Hamilton and Kenichi Fujii. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Public Management Review, Public Money & Management, International Journal of Public Sector Management and Journal of Research of the National Institute of Standards and Technology.

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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