Wolfgang Garn

685 citations
23 papers · 428 · h-index 9

Impact in

Papers in

Wolfgang Garn

22 papers receiving 404 citations

Peers

Wolfgang Garn
Comparison fields: 5 of 84
  • Health Informatics 18
  • Management Information Systems 84
  • Industrial and Manufacturing Engineering 87
  • Strategy and Management 91
  • Artificial Intelligence 136
Replace Arpit Singh with:
Arpit Singh India
Yongping Xie China
Chetan Sharma India
Jaehun Lee South Korea
Anjee Gorkhali United States
Taha Mansouri United Kingdom
Supaporn Kiattisin Thailand
Nada Elgendy Sweden
Carlos Raymundo Peru
Helmut Zsifkovits Austria
Wolfgang Garn relative to Arpit Singh India Arpit Singh's profile →
Citations per field
00.5×3.1×
Arpit Singh · 1×
Citations per year

Countries citing papers authored by Wolfgang Garn

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Garn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Wolfgang Garn, 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 Wolfgang Garn Line = papers co-authored together Wolfgang Garn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018128
2 201666
3 202258
4 202242
5 201026
6 202122
7 202314
8 202113
9 202112
10 20218
11 20228
12 20227
13 20156
14 20124
15 20243
16 20222
17 20242
18 20242
19 20251
20 20211

About Wolfgang Garn

Wolfgang Garn is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management Information Systems, Pulmonary and Respiratory Medicine and Health Informatics, having authored 23 papers that have together received 428 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Digital Transformation in Industry (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Vehicle Routing Optimization Methods (2 papers), AI-based Problem Solving and Planning (2 papers), Supply Chain and Inventory Management (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Health Informatics (18 citations), Management Information Systems (84 citations), Industrial and Manufacturing Engineering (87 citations), Strategy and Management (91 citations) and Artificial Intelligence (136 citations). Wolfgang Garn has collaborated with scholars based in United Kingdom, Netherlands and Singapore. Frequent co-authors include Paul Krause, Christopher Turner, James Aitken, Cecil Bozarth, John Oyekan, Khaled Abdou, Panos Louvieris, Andreas Gregoriades, Vasilis Nikolaou and Masoud Fakhimi. Their work appears in journals such as Applied Artificial Intelligence, European Journal of Operational Research, Sustainability, BMJ Open Respiratory Research and Health Information Science and Systems.

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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