Paul Drews

2.1k total citations · 1 hit paper
75 papers, 1.2k citations indexed

About

Paul Drews is a scholar working on Management Information Systems, Management of Technology and Innovation and Sociology and Political Science. According to data from OpenAlex, Paul Drews has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Information Systems, 13 papers in Management of Technology and Innovation and 11 papers in Sociology and Political Science. Recurrent topics in Paul Drews's work include Big Data and Business Intelligence (15 papers), Information Technology Governance and Strategy (13 papers) and Business Process Modeling and Analysis (9 papers). Paul Drews is often cited by papers focused on Big Data and Business Intelligence (15 papers), Information Technology Governance and Strategy (13 papers) and Business Process Modeling and Analysis (9 papers). Paul Drews collaborates with scholars based in Germany, United States and New Zealand. Paul Drews's co-authors include Ingrid Schirmer, Tilo Böhmann, Nils Urbach, Frederik Ahlemann, Alexander Mädche, Torsten Eymann, Christian Matt, Thomas Heß, Christine Legner and Michael Weyrich and has published in prestigious journals such as Journal of the Association for Information Systems, IEEE Sensors Journal and Computers in Industry.

In The Last Decade

Paul Drews

64 papers receiving 1.1k citations

Hit Papers

Digitalization: Opportunity and Challenge for the Busines... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Drews Germany 14 426 307 291 180 168 75 1.2k
Nuno Mel�ão Portugal 14 454 1.1× 281 0.9× 261 0.9× 178 1.0× 205 1.2× 50 1.4k
Mohit Goswami India 19 380 0.9× 377 1.2× 510 1.8× 154 0.9× 153 0.9× 55 1.3k
Jo�ão Reis Portugal 17 218 0.5× 320 1.0× 273 0.9× 180 1.0× 127 0.8× 87 1.4k
Parisa Maroufkhani Australia 12 495 1.2× 373 1.2× 480 1.6× 197 1.1× 170 1.0× 17 1.4k
Falk Uebernickel Switzerland 18 412 1.0× 284 0.9× 299 1.0× 228 1.3× 293 1.7× 127 1.4k
Mauro de Mesquita Spínola Brazil 11 459 1.1× 172 0.6× 226 0.8× 93 0.5× 254 1.5× 61 1.1k
Maja Meško Slovenia 14 210 0.5× 518 1.7× 254 0.9× 162 0.9× 145 0.9× 66 1.4k
Rodrigo Franco Gonçalves Brazil 11 254 0.6× 361 1.2× 308 1.1× 90 0.5× 225 1.3× 47 1.2k
Charles Møller Denmark 21 644 1.5× 604 2.0× 234 0.8× 184 1.0× 244 1.5× 99 1.9k
Dara G. Schniederjans United States 16 457 1.1× 272 0.9× 567 1.9× 82 0.5× 135 0.8× 36 1.3k

Countries citing papers authored by Paul Drews

Since Specialization
Citations

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

Fields of papers citing papers by Paul Drews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Drews

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Drews. A scholar is included among the top collaborators of Paul Drews 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 Paul Drews. Paul Drews 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.
Drews, Paul, et al.. (2025). IT Outsourcing Relationships in the Context of Digital Transformation: From Transactional Relationships to Ecosystem Partnerships. Information Systems Management. 43(1). 65–84. 1 indexed citations
2.
Drews, Paul, et al.. (2024). The Low-Code Phenomenon: Mapping the Intellectual Structure of Research. Proceedings of the ... Annual Hawaii International Conference on System Sciences.
3.
Drews, Paul, et al.. (2024). Online Adaptation of Learned Vehicle Dynamics Model with Meta-Learning Approach. arXiv (Cornell University). 802–809. 1 indexed citations
4.
Schirmer, Ingrid, et al.. (2020). ‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units. Journal of the Association for Information Systems. 4 indexed citations
5.
Drews, Paul, et al.. (2019). Leveraging Architectural Thinking for Large-Scale E-Government Projects. Journal of the Association for Information Systems. 2 indexed citations
6.
Schirmer, Ingrid, et al.. (2019). AGILE PORTFOLIO MANAGEMENT: DESIGN GOALS AND PRINCIPLES. Journal of the Association for Information Systems. 5 indexed citations
7.
Drews, Paul, et al.. (2019). An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations. Journal of the Association for Information Systems. 1 indexed citations
8.
Schirmer, Ingrid, et al.. (2018). Agile Portfolio Management Patterns:A Research Design. Multilingual Matters (Channel View Publications). 6 indexed citations
9.
Schirmer, Ingrid, et al.. (2018). Supporting Diffusion of IoT Solutions Exemplified by the ChainPORT Initiative.. Journal of the Association for Information Systems. 1 indexed citations
10.
Drews, Paul, et al.. (2018). Towards an Extended Enterprise Architecture Meta-Model for Big Data - A Literature-based Approach. Journal of the Association for Information Systems. 2 indexed citations
11.
Drews, Paul, et al.. (2017). Digitalization of the Banking Industry: A Multiple Stakeholder Analysis on Strategic Alignment. Journal of the Association for Information Systems. 21 indexed citations
12.
Drews, Paul, et al.. (2016). End-users’ perspective on digitalization: A study on work order processing in the German banking industry. Multilingual Matters (Channel View Publications). 6 indexed citations
13.
Drews, Paul, et al.. (2015). Entwicklung und Evaluation eines Metamodells zur Verbesserung der unternehmensweiten Entscheidungsorientierung mithilfe der Unternehmensarchitektur. Journal of the Association for Information Systems. 1814–1828.
14.
Drews, Paul, et al.. (2014). Softwarealterung aus Sicht des IT-Managements - Ergebnisse einer qualitativ-empirischen Analyse in der Finanzindustrie.. Multilingual Matters (Channel View Publications). 1553–1564. 1 indexed citations
15.
Drews, Paul, et al.. (2014). An Empirically Grounded Ontology for Analyzing IT-based Interventions in Business Ecosystems. Journal of the Association for Information Systems. 1 indexed citations
16.
Drews, Paul, et al.. (2013). Towards a Concept for Integrating IT Innovation Management into Business IT Management. Journal of the Association for Information Systems. 67(5). 512–20. 5 indexed citations
17.
Drews, Paul, et al.. (2012). Modeling of cooperative tasks in Business-IT management – A proposal for a domain-specific extension of BPMN 2.0. Journal of the Association for Information Systems. 1 indexed citations
18.
Drews, Paul. (2010). Vorläufige und notwendige Formalisierungslücken in der IT-Beratung. 583–593. 1 indexed citations
19.
Drews, Paul. (2009). IT-Beratung zwischen transdisziplinärer Forschung und Praxis - Ein Orientierungsrahmen.. 3715–3729. 1 indexed citations
20.
Drews, Paul, et al.. (2007). Ergebnisse eines Beratungsprojektes zur Vorbereitung auf die Einführung der elektronischen Gesundheitskarte in einem Krankenhaus. GI Jahrestagung (2). 437–443. 1 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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