Paul R. Daugherty

847 citations
3 papers · 219 indexed · 1 hit paper · h-index 2
Co-authors
H. James Wilson
Topics
Software Engineering Techniques and Practices (1 paper)Service-Oriented Architecture and Web Services (1 paper)Digital Transformation in Industry (1 paper)
Partner nations
SwitzerlandUnited States

In The Last Decade

Paul R. Daugherty

3 papers receiving 199 citations

Hit Papers

Human + Machine: Reimagining Work in the Age of AI2021202620222024202150100150200

Peers

Paul R. Daugherty
Comparison fields: 5 of 72
  • Sociology and Political Science 58
  • Artificial Intelligence 51
  • Safety Research 40
  • Management Information Systems 34
  • Information Systems 30
Replace Kari Hiekkanen with:
Kari Hiekkanen Finland
Kovila Coopamootoo United Kingdom
Jenny Eriksson Lundström Sweden
P. S. Varsha India
Ali Eshraghi Australia
Leif Sundberg Sweden
Mark Ashton United Kingdom
Shikha N. Khera India
Andreas Altmann Austria
Stanimira Taneva United Kingdom
Paul R. Daugherty relative to Kari Hiekkanen Finland Kari Hiekkanen's profile →
Citations per field
00.5×1.7×
Kari Hiekkanen · 1×
Citations per year

Countries citing papers authored by Paul R. Daugherty

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Daugherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Daugherty. 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 Paul R. Daugherty. The network helps show where Paul R. Daugherty may publish in the future.

Co-authorship network of co-authors of Paul R. Daugherty

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Human + Machine : Reimagining Work in the Age of AIbreakdown →
217
2 1
3 1

About Paul R. Daugherty

Paul R. Daugherty is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Computer Networks and Communications, having authored 3 papers that have together received 219 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Digital Transformation in Industry (1 paper). The work is most often cited by research in Health Informatics (19 citations), Safety Research (40 citations) and Management Information Systems (34 citations). Paul R. Daugherty has collaborated with scholars based in Switzerland and United States. Frequent co-authors include H. James Wilson. Their work appears in journals such as Global Business and Organizational Excellence.

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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