Matthias Schümann

2.4k total citations
145 papers, 1.1k citations indexed

About

Matthias Schümann is a scholar working on Strategy and Management, Management Information Systems and Information Systems. According to data from OpenAlex, Matthias Schümann has authored 145 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Strategy and Management, 25 papers in Management Information Systems and 18 papers in Information Systems. Recurrent topics in Matthias Schümann's work include Corporate Governance and Management (18 papers), RFID technology advancements (17 papers) and Digital Innovation in Industries (13 papers). Matthias Schümann is often cited by papers focused on Corporate Governance and Management (18 papers), RFID technology advancements (17 papers) and Digital Innovation in Industries (13 papers). Matthias Schümann collaborates with scholars based in Germany, United States and Czechia. Matthias Schümann's co-authors include Yu Liu, Sebastian Hobert, Nils Thonemann, Waldemar Toporowski, Victoria‐Sophie Osburg, Raphael Meyer von Wolff, Johann Kranz, Thomas Heß, Günter Schmid and C. Radehaus and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Matthias Schümann

124 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthias Schümann Germany 17 215 168 155 129 122 145 1.1k
Yu-Min Wang Taiwan 11 180 0.8× 117 0.7× 244 1.6× 50 0.4× 148 1.2× 39 997
Joanna Paliszkiewicz Poland 19 229 1.1× 318 1.9× 191 1.2× 98 0.8× 298 2.4× 81 1.7k
Arho Suominen Finland 17 286 1.3× 159 0.9× 99 0.6× 109 0.8× 124 1.0× 77 1.2k
Jeretta Horn Nord United States 16 119 0.6× 120 0.7× 311 2.0× 109 0.8× 272 2.2× 42 1.2k
Sai Hong Tang Malaysia 20 162 0.8× 64 0.4× 177 1.1× 68 0.5× 35 0.3× 79 1.3k
Awanis Romli Malaysia 19 188 0.9× 138 0.8× 83 0.5× 162 1.3× 263 2.2× 78 1.2k
Dag Øivind Madsen Norway 22 271 1.3× 210 1.3× 338 2.2× 54 0.4× 112 0.9× 161 1.7k
Jeonghwan Jeon South Korea 17 350 1.6× 67 0.4× 75 0.5× 83 0.6× 95 0.8× 55 1.2k
David C. Wyld United States 15 213 1.0× 57 0.3× 232 1.5× 47 0.4× 137 1.1× 98 1.1k
Hans Ulrich Buhl Germany 14 229 1.1× 92 0.5× 323 2.1× 256 2.0× 361 3.0× 130 1.4k

Countries citing papers authored by Matthias Schümann

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Schümann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Schümann

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Schümann. A scholar is included among the top collaborators of Matthias Schümann 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 Matthias Schümann. Matthias Schümann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schümann, Matthias, et al.. (2022). Evidential Strategies in Financial Statement Analysis: A Corpus Linguistic Text Mining Approach to Bankruptcy Prediction. Journal of risk and financial management. 15(10). 459–459. 6 indexed citations
2.
Nickerson, Robert C., et al.. (2021). Towards a taxonomy of AI-based methods in Financial Statement Analysis. Journal of the Association for Information Systems. 1 indexed citations
3.
Schümann, Matthias, et al.. (2018). E-Learning Modules for Sustainable Management: Potentials and Challenges. Journal of the Association for Information Systems. 1 indexed citations
4.
Wolf, Sebastian I., et al.. (2016). Data Driven Creation of Sentiment Dictionaries for Corporate Credit Risk Analysis. Americas Conference on Information Systems. 5 indexed citations
5.
Hobert, Sebastian, et al.. (2015). MOBILE AND WEARABLE LEARNING IN ENTERPRISES – APPLICATION SCENARIOS AND TECHNOLOGY SELECTION. ICERI2015 Proceedings. 5609–5619. 1 indexed citations
6.
Hobert, Sebastian, et al.. (2014). Lernen mit Smartphones an der Georgia-Augusta - eine Zwischenbilanz.. 180–188. 1 indexed citations
7.
Kranz, Johann, et al.. (2014). AN INFORMATION SYSTEM DESIGN THEORY FOR GREEN INFORMATION SYSTEMS FOR SUSTAINABILITY REPORTING - INTEGRATING THEORY WITH EVIDENCE FROM MULTIPLE CASE STUDIES. Journal of the Association for Information Systems. 6 indexed citations
8.
Schümann, Matthias, et al.. (2014). Social Software in New Product Development – State of Research and Future Research Directions. Journal of the Association for Information Systems. 27(1). 69–81. 3 indexed citations
9.
Schümann, Matthias, et al.. (2014). Do Universities Get the Hang of Working Efficiently? – A Survey of the Influencing Factors on the Adoption of Electronic Document and Workflow Management in German-speaking Countries. Americas Conference on Information Systems. 6 indexed citations
10.
Geldermann, Jutta, et al.. (2013). First International Conference on Resource Efficiency in Interorganizational Networks – ResEff 2013 –. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 13 indexed citations
11.
Krempel, J., et al.. (2013). 中性子β崩壊でのβ非対称パラメータAの測定からの弱い軸性ベクトル結合λ=gA/gVの決定. Physical Review Letters. 110(17). 1–172502. 5 indexed citations
12.
Schümann, Matthias, et al.. (2013). Einsatzgebiete für Dokumenten- und Workflow-Management-Systeme im Drittmittelprozess einer Hochschule.. GI-Jahrestagung. 678–692.
13.
Friedrich, Tobias, et al.. (2011). Diffusion of IS in companies using renewable resources and its impact on uncertainty. Journal of the Association for Information Systems. 7 indexed citations
14.
Schümann, Matthias, et al.. (2011). RFID-BASED INDIVIDUALIZATION OF EXTENDED PRODUCER RESPONSIBILITY AND RECYCLING FOR WEEE. Journal of the Association for Information Systems. 116(2). 106–45.e1. 7 indexed citations
15.
Schmidt, Malte, et al.. (2011). MANAGING THE COMPLEXITY OF LARGE-SCALE RFID ROLLOUT PROJECTS IN LOGISTICS. European Conference on Information Systems. 71(2). 168–6. 1 indexed citations
16.
Schümann, Matthias, et al.. (2010). Optimizing the Berth Allocation Problem using a Genetic Algorithm and Particle Swarm Optimization. 2277–2294. 1 indexed citations
17.
Schümann, Matthias, et al.. (2009). RFID IN REVERSE LOGISTICS RESEARCH FRAMEWORK AND ROADMAP. WIRTSCHAFTSINFORMATIK. 781–792. 3 indexed citations
18.
Schümann, Matthias, et al.. (2008). Objektinformationsbedarfe und RFID-Nutzenpotenziale in Reverse Logistics. Multimedia Systems. 136–146. 1 indexed citations
19.
Schümann, Matthias, et al.. (2008). Classification of Weblogs for Collaborative E-Learning.. 146–152.
20.
Mueller, Juergen, et al.. (2008). Assessing the Effects of Enhanced Supply Chain Visibility Through RFID.. Journal of the Association for Information Systems. 51. 9 indexed citations

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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