Markus Won
- Information Systems top 10%
- Human-Computer Interaction top 10%
- Computer Science Applications top 10%
- Software top 10%
- Sociology and Political Science
- Co-authors
- Volker WulfVolkmar PipekGunnar StevensAnders I. MørchYvonne DittrichMarkus KlannPeter MambreyMarkus Rohde
- Topics
- Business Process Modeling and Analysis (3 papers)Usability and User Interface Design (3 papers)Knowledge Management and Sharing (2 papers)
In The Last Decade
Markus Won
8 papers receiving 163 citations
Peers
Comparison fields: 5 of 43
- Information Systems 60
- Human-Computer Interaction 50
- Computer Science Applications 43
- Software 41
- Sociology and Political Science 31
Countries citing papers authored by Markus Won
This map shows the geographic impact of Markus Won'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 Markus Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Won more than expected).
Fields of papers citing papers by Markus Won
This network shows the impact of papers produced by Markus Won. 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 Markus Won. The network helps show where Markus Won may publish in the future.
Co-authorship network of co-authors of Markus Won
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Won. A scholar is included among the top collaborators of Markus Won 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 Markus Won. Markus Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 80 | |
| 4 | Group-Oriented Learning of Object-Oriented Software Methods in Construction Engineering: A Case for GeoCafe | 1 |
| 5 | Three pillars for congenial web searching: continuous evaluation for enhancing web search effectiveness | 1 |
| 6 | 63 | |
| 7 | 0 | |
| 8 | Managing Dependencies in Component-Based Distributed Applications | 4 |
| 9 | 20 | |
| 10 | 2 | |
| 11 | Erfahrungsbericht zur Telelehrveranstaltung "Informatik und Gesellschaft" im Sommersemester 1999 | 1 |
About Markus Won
Markus Won is a scholar working on Human-Computer Interaction, Management Information Systems and Information Systems and Management, having authored 11 papers that have together received 185 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (3 papers), Usability and User Interface Design (3 papers) and Knowledge Management and Sharing (2 papers). The work is most often cited by research in Software (41 citations), Human-Computer Interaction (50 citations) and Computer Science Applications (43 citations). Markus Won has collaborated with scholars based in Germany, Sweden and Norway. Frequent co-authors include Volker Wulf, Volkmar Pipek, Gunnar Stevens, Anders I. Mørch, Yvonne Dittrich, Markus Klann, Peter Mambrey, Markus Rohde, Christian Dörner and Armin B. Cremers. Their work appears in journals such as Communications of the ACM, International Journal of Human-Computer Studies and Journal of Web Engineering.
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.