Daniel Tyskbo

776 citations
18 papers · 440 · 1 hit paper · h-index 8

Impact in

Papers in

Daniel Tyskbo

15 papers receiving 420 citations

Daniel Tyskbo's Hit Papers

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden 2022 · 209 citations
2090+1+2Years since publication50100150200

Peers

Daniel Tyskbo
Comparison fields: 5 of 93
  • Health Informatics 233
  • Health Information Management 79
  • Medical Laboratory Technology 15
  • Organizational Behavior and Human Resource Management 87
  • Radiology, Nuclear Medicine and Imaging 86
Replace Lena Petersson with:
Lena Petersson Sweden
Zhichao Hao United States
H Aylin Sapci United States
Stefan Germann United States
Mathilde Savoldelli Canada
David Lyell Australia
Jiamin Yin Singapore
Paola Daniore Switzerland
Ferry Fadzlul Rahman Indonesia
Suyog Shetty India
Daniel Tyskbo relative to Lena Petersson Sweden Lena Petersson's profile →
Citations per field
00.5×1.7×
Lena Petersson · 1×
Citations per year

Countries citing papers authored by Daniel Tyskbo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tyskbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Daniel Tyskbo, 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 Daniel Tyskbo Line = papers co-authored together Daniel Tyskbo links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden
Hit paper breakdown →
2022209
2 2021112
3 201934
4 201923
5 202014
6 201910
7 20248
8 20218
9 20227
10 20225
11 20244
12 20212
13 20242
14 20251
15 20231
16 20250
17 20250
18
Sorting Talents Out: Talent identification and its consequences
20150

About Daniel Tyskbo

Daniel Tyskbo is a scholar working on Organizational Behavior and Human Resource Management, Health Informatics, General Health Professions, Management Information Systems and Artificial Intelligence, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Human Resource and Talent Management (7 papers), Artificial Intelligence in Healthcare and Education (6 papers), Employer Branding and e-HRM (5 papers), Job Satisfaction and Organizational Behavior (3 papers), Management and Organizational Studies (3 papers), Healthcare cost, quality, practices (2 papers), Accounting and Organizational Management (2 papers) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (233 citations), Health Information Management (79 citations), Medical Laboratory Technology (15 citations), Organizational Behavior and Human Resource Management (87 citations) and Radiology, Nuclear Medicine and Imaging (86 citations). Daniel Tyskbo has collaborated with scholars based in Sweden, Netherlands and Brazil. Frequent co-authors include Jens Nygren, Petra Svedberg, Julie Reed, Per Nilsén, Margit Neher, Ingrid Larsson, Lena Petersson, James Barlow, Fábio Gama and Alexander Styhre. Their work appears in journals such as Social Science & Medicine, Personnel Review, Journal of Intellectual Capital, BMC Nursing and Employee Relations.

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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