Wolfgang Garn

23 papers receiving 436 citations

Peers

Wolfgang Garn
Comparison fields: 5 of 83
  • Health Informatics 17
  • Management Information Systems 87
  • Industrial and Manufacturing Engineering 89
  • Strategy and Management 93
  • Artificial Intelligence 140
Replace Arpit Singh with:
Arpit Singh India
Yongping Xie China
Chetan Sharma India
Shuyang Li China
Jaehun Lee South Korea
Taha Mansouri United Kingdom
Nada Elgendy Sweden
Mihalj Bakator Serbia
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018135
2 201669
3 202261
4 202242
5 201026
6 202124
7 202317
8 202115
9 202113
10 20229
11 20218
12 20227
13 20156
14 20255
15 20244
16 20124
17 20243
18 20223
19 20242
20 20251

About Wolfgang Garn

Wolfgang Garn is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research and Economics and Econometrics, having authored 24 papers that have together received 457 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (3 papers), Digital Transformation in Industry (3 papers), Transportation and Mobility Innovations (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Transportation Planning and Optimization (2 papers), Manufacturing Process and Optimization (2 papers), Imbalanced Data Classification Techniques (2 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Health Informatics (17 citations), Management Information Systems (87 citations), Industrial and Manufacturing Engineering (89 citations), Strategy and Management (93 citations) and Artificial Intelligence (140 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, Khaled Abdou, John Oyekan, Masoud Fakhimi, Vasilis Nikolaou, Sebastiano Massaro and Andreas Gregoriades. Their work appears in journals such as European Journal of Operational Research, Sustainability, Applied Artificial Intelligence, Engineering Applications of Artificial Intelligence and Life.

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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