Daniel Szopinski

411 citations
16 papers · 238 · h-index 7

Impact in

Papers in

Daniel Szopinski

15 papers receiving 228 citations

Peers

Daniel Szopinski
Comparison fields: 5 of 56
  • Management Information Systems 77
  • Marketing 48
  • Strategy and Management 58
  • Business and International Management 6
  • Computer Science Applications 15
Replace Amarolinda Zanela Klein with:
Amarolinda Zanela Klein Brazil
Jae‐Young Oh South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Szopinski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Szopinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Szopinski, 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 Szopinski Line = papers co-authored together Daniel Szopinski links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202181
2
BECAUSE YOUR TAXONOMY IS WORTH IT: TOWARDS A FRAMEWORK FOR TAXONOMY EVALUATION
201949
3 201945
4 202019
5 202214
6
Visual Languages for Modeling Business Models: A Critical Review and Future Research Directions
201713
7
How Software Can Support Innovating Business Models: A Taxonomy of Functions of Business Model Development Tools
20177
8 20183
9
Exploring design principles for stimuli in business model development tools
20201
10
Towards Explaining the Popularity of the Business Model Canvas: A Dual Coding Approach
20171
11
TOWARD UNDERSTANDING THE COMPLEXITY OF BUSINESS MODELS – A TAXONOMY OF BUSINESS MODEL DEPENDENCIES
20211
12
Towards Explaining the Popularity of the Business Model Canvas: A Dual Coding Approach (Research-in-Progress)
20181
13 20171
14
Exploring purposes of using taxonomies
20221
15 20191
16 20190

About Daniel Szopinski

Daniel Szopinski is a scholar working on Artificial Intelligence, Management Information Systems, Information Systems, Computer Science Applications and Social Psychology, having authored 16 papers that have together received 238 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Business Process Modeling and Analysis (3 papers), Advanced Text Analysis Techniques (3 papers), Open Source Software Innovations (3 papers), Green IT and Sustainability (1 paper), Business Strategies and Innovation (1 paper), Management and Marketing Education (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Management Information Systems (77 citations), Marketing (48 citations), Strategy and Management (58 citations), Business and International Management (6 citations) and Computer Science Applications (15 citations). Daniel Szopinski has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Dennis Kundisch, Thorsten Schoormann, Jan Muntermann, Anna Maria Oberländer, Daniel Rau, Maximilian Röglinger, Ralf Knackstedt, Christopher L. Tucci, Lorenzo Massa and Gregor Engels. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, Business & Information Systems Engineering, Econstor (Econstor) and Gesellschaft für Informatik (GI).

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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