Martin Gaedke

3.3k total citations · 1 hit paper
102 papers, 1.4k citations indexed

About

Martin Gaedke is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Martin Gaedke has authored 102 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Information Systems, 28 papers in Computer Networks and Communications and 23 papers in Artificial Intelligence. Recurrent topics in Martin Gaedke's work include Service-Oriented Architecture and Web Services (47 papers), Web Applications and Data Management (36 papers) and Web Data Mining and Analysis (18 papers). Martin Gaedke is often cited by papers focused on Service-Oriented Architecture and Web Services (47 papers), Web Applications and Data Management (36 papers) and Web Data Mining and Analysis (18 papers). Martin Gaedke collaborates with scholars based in Germany, United Kingdom and United States. Martin Gaedke's co-authors include Mahda Noura, Mohammed Atiquzzaman, Hans Gellersen, Georgi Kobilarov, Christian Bizer, Sebastian Heil, Maxim Bakaev, San Murugesan, Athula Ginige and Steve Hansen and has published in prestigious journals such as IEEE Internet of Things Journal, Information and Software Technology and IEEE Internet Computing.

In The Last Decade

Martin Gaedke

90 papers receiving 1.2k citations

Hit Papers

Interoperability in Internet of Things: Taxonomies and Op... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interoperability in Internet of Things: Taxonomies and Open Challenges
    2018 413 citations Mahda Noura, Martin Gaedke et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Gaedke Germany 13 737 495 368 169 119 102 1.4k
Juan Manuel Cueva Lovelle Spain 17 553 0.8× 317 0.6× 352 1.0× 182 1.1× 92 0.8× 94 1.2k
Cláudia Werner Brazil 22 967 1.3× 291 0.6× 456 1.2× 90 0.5× 50 0.4× 182 1.5k
Flora Amato Italy 24 548 0.7× 369 0.7× 507 1.4× 314 1.9× 135 1.1× 107 1.3k
Michael Rovatsos United Kingdom 15 330 0.4× 405 0.8× 572 1.6× 128 0.8× 204 1.7× 77 1.2k
Gillian Dobbie New Zealand 23 564 0.8× 433 0.9× 998 2.7× 143 0.8× 77 0.6× 123 1.6k
Ken Arnold United Kingdom 13 480 0.7× 773 1.6× 663 1.8× 160 0.9× 74 0.6× 48 1.7k
Klaus Hansen Denmark 14 401 0.5× 208 0.4× 217 0.6× 226 1.3× 65 0.5× 72 1.1k
Declan O’Sullivan Ireland 19 520 0.7× 442 0.9× 677 1.8× 139 0.8× 218 1.8× 197 1.4k
Haifeng Shen Australia 16 335 0.5× 292 0.6× 251 0.7× 149 0.9× 75 0.6× 101 999
Achilles Kameas Greece 18 310 0.4× 368 0.7× 267 0.7× 365 2.2× 64 0.5× 149 1.4k

Countries citing papers authored by Martin Gaedke

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gaedke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gaedke

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gaedke. A scholar is included among the top collaborators of Martin Gaedke 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 Martin Gaedke. Martin Gaedke 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.
2.
Noura, Mahda & Martin Gaedke. (2019). An Automated Cyclic Planning Framework Based on Plan-Do-Check-Act for Web of Things Composition. 205–214. 6 indexed citations
3.
Noura, Mahda, Amélie Gyrard, Sebastian Heil, & Martin Gaedke. (2019). Automatic Knowledge Extraction to Build Semantic Web of Things Applications. IEEE Internet of Things Journal. 6(5). 8447–8454. 38 indexed citations
4.
Bakaev, Maxim, et al.. (2019). Auto-Extraction and Integration ofMetrics forWeb User Interfaces. Journal of Web Engineering. 17(6). 561–590. 12 indexed citations
5.
Gaedke, Martin, et al.. (2017). Probabilistic loadflow methods for energy management schemes in distribution grids. 41. 1–5. 2 indexed citations
6.
Gaedke, Martin, et al.. (2016). Value-Sensitive Design in Hyper-Connected Societies.. GI-Jahrestagung. 255–260. 1 indexed citations
7.
Speicher, Maximilian, et al.. (2015). From TMR to turtle: predicting result relevance from mouse cursor interactions in web search. Journal of Web Engineering. 14(5). 386–413. 1 indexed citations
8.
Gaedke, Martin, et al.. (2014). Towards Real-time Collaboration in User Interface Mashups. 193–200. 1 indexed citations
9.
Gaedke, Martin, et al.. (2013). Enriching single-user web applications non-invasively with shared editing support. Science of Computer Programming. 94. 53–66. 1 indexed citations
10.
Heil, Andreas & Martin Gaedke. (2008). Environment-Awareness: Quantitative Processing of Context Changes. 376. 423–428. 1 indexed citations
11.
Wilde, Erik & Martin Gaedke. (2008). Web Engineering Revisited. Electronic workshops in computing. 8 indexed citations
12.
Gaedke, Martin, et al.. (2008). WebComposition/DGS. 456–459. 1 indexed citations
13.
Gaedke, Martin, et al.. (2007). Model-driven Construction of Workflow-based Web Applications with Domain-specific Languages. Repository KITopen (Karlsruhe Institute of Technology). 3 indexed citations
14.
Gaedke, Martin, et al.. (2006). Towards DSL-based web engineering. Repository KITopen (Karlsruhe Institute of Technology). 893–894. 6 indexed citations
15.
Gaedke, Martin, et al.. (2006). Capturing the essentials of federated systems. Repository KITopen (Karlsruhe Institute of Technology). 895–896. 3 indexed citations
16.
Gaedke, Martin, et al.. (2006). Stakeholder collaboration. 117–117. 22 indexed citations
17.
Gaedke, Martin, et al.. (2003). WebComposition Service Linking System: Supporting development, federation and evolution of service-oriented Web applications. Repository KITopen (Karlsruhe Institute of Technology).
18.
Gaedke, Martin, et al.. (2000). Crossing the gap from design to implementation in web-application development. 141–147. 2 indexed citations
19.
Gellersen, Hans & Martin Gaedke. (1999). Object-oriented Web application development. IEEE Internet Computing. 3(1). 60–68. 76 indexed citations
20.
Gellersen, Hans, Fernando Lyardet, Martin Gaedke, Daniel Schwabe, & Gustavo Rossi. (1999). Patterns and Components: Capturing the Lasting Amidst the Changing. 2 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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