Elmar Kiesling

1.5k total citations · 1 hit paper
57 papers, 791 citations indexed

About

Elmar Kiesling is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Elmar Kiesling has authored 57 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 25 papers in Information Systems and 23 papers in Artificial Intelligence. Recurrent topics in Elmar Kiesling's work include Semantic Web and Ontologies (19 papers), Network Security and Intrusion Detection (11 papers) and Service-Oriented Architecture and Web Services (10 papers). Elmar Kiesling is often cited by papers focused on Semantic Web and Ontologies (19 papers), Network Security and Intrusion Detection (11 papers) and Service-Oriented Architecture and Web Services (10 papers). Elmar Kiesling collaborates with scholars based in Austria, Germany and United Kingdom. Elmar Kiesling's co-authors include Christian Stummer, Markus Günther, Lea M. Wakolbinger, Rudolf Vetschera, Andreas Ekelhart, Walter J. Gutjahr, A Min Tjoa, Stefan Biffl, Fajar J. Ekaputra and Marta Sabou and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Decision Support Systems.

In The Last Decade

Elmar Kiesling

54 papers receiving 758 citations

Hit Papers

Agent-based simulation of innovation diffusion: a review 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elmar Kiesling Austria 11 363 120 119 111 110 57 791
Jarosław Jankowski Poland 16 362 1.0× 76 0.6× 103 0.9× 130 1.2× 132 1.2× 62 1.1k
Mi Zhou China 19 631 1.7× 70 0.6× 92 0.8× 127 1.1× 447 4.1× 64 1.2k
Núria Agell Spain 19 466 1.3× 71 0.6× 114 1.0× 118 1.1× 281 2.6× 70 972
Xiangrui Chao China 14 430 1.2× 124 1.0× 78 0.7× 50 0.5× 287 2.6× 31 855
Guangxu Li China 16 774 2.1× 60 0.5× 107 0.9× 118 1.1× 411 3.7× 27 1.3k
Desheng Wu China 14 218 0.6× 94 0.8× 136 1.1× 86 0.8× 148 1.3× 48 709
Yueting Chai China 14 172 0.5× 56 0.5× 304 2.6× 105 0.9× 140 1.3× 93 910
Mamata Jenamani India 19 196 0.5× 62 0.5× 195 1.6× 315 2.8× 268 2.4× 99 1.3k
Xin Fu China 19 110 0.3× 76 0.6× 155 1.3× 51 0.5× 186 1.7× 58 982
Zhaohan Sheng China 24 574 1.6× 179 1.5× 53 0.4× 575 5.2× 110 1.0× 103 1.6k

Countries citing papers authored by Elmar Kiesling

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Kiesling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmar Kiesling

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Kiesling. A scholar is included among the top collaborators of Elmar Kiesling 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 Elmar Kiesling. Elmar Kiesling 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.
Paulheim, Heiko, Elmar Kiesling, Maria Chiara Leva, et al.. (2024). Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers in Artificial Intelligence. 7. 1247712–1247712. 3 indexed citations
2.
Kropatschek, Sebastian, et al.. (2022). Analysis of Quality Issues in Production With Multi-view Coordination Assets. IFAC-PapersOnLine. 55(10). 2938–2943. 13 indexed citations
3.
Ekelhart, Andreas, et al.. (2022). VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis. SHILAP Revista de lepidopterología. 4(2). 371–396. 4 indexed citations
4.
Kropatschek, Sebastian, et al.. (2022). Designing a Digital Shadow for Efficient, Low-Delay Analysis of Production Quality Risk. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 5. 1–8. 3 indexed citations
5.
Ekelhart, Andreas, et al.. (2022). KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data. Computers & Security. 121. 102828–102828. 30 indexed citations
6.
Ekelhart, Andreas, et al.. (2021). Virtual Knowledge Graphs for Federated Log Analysis. WU Research. 1–11. 7 indexed citations
7.
Fernández, Javier D., et al.. (2020). User consent modeling for ensuring transparency and compliance in smart cities. Personal and Ubiquitous Computing. 24(4). 465–486. 9 indexed citations
8.
Ekaputra, Fajar J., et al.. (2019). Semantic Containers for Data Mobility: A Seismic Activity Use Case.. 1 indexed citations
9.
Fensel, Dieter, Victor de Boer, Elmar Kiesling, et al.. (2018). Proceedings of the 14th International Conference on Semantic Systems, SEMANTICS 2018, Vienna, Austria, September 10-13, 2018. Data Archiving and Networked Services (DANS). 137.
10.
Ekaputra, Fajar J., et al.. (2017). RMLx: Mapping interface for integrating open data with linked data exploration environment. 113–118. 1 indexed citations
11.
Stummer, Christian, Elmar Kiesling, Markus Günther, & Rudolf Vetschera. (2015). Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach. European Journal of Operational Research. 245(1). 157–167. 87 indexed citations
12.
Anjomshoaa, Amin, et al.. (2014). Open mashup platform: a smart data exploration environment. International Semantic Web Conference. 53–56. 1 indexed citations
13.
Anjomshoaa, Amin, et al.. (2014). Towards an Environmental Information System for Semantic Stream Data. EnviroInfo. 637–644. 3 indexed citations
14.
Kiesling, Elmar, et al.. (2014). Multiscale Exploration of Spatial Statistical Datasets: A Linked Data Mashup Approach..
15.
Anjomshoaa, Amin, et al.. (2014). Leveraging the web of data via linked widgets. 6(1). 7–27. 3 indexed citations
16.
Stummer, Christian & Elmar Kiesling. (2012). Simulating innovation adoption behavior: Lessons learned for modelers and programmers. PUB – Publications at Bielefeld University (Bielefeld University). 90–96. 1 indexed citations
17.
Kiesling, Elmar, et al.. (2012). A comparison of representations for discrete multi-criteria decision problems. Decision Support Systems. 54(2). 976–985. 39 indexed citations
18.
Günther, Markus, Elmar Kiesling, & Christian Stummer. (2011). Game-based Learning in Technology Management Education: A Novel Business Simulation. International Journal of Emerging Technologies in Learning (iJET). 6(1). 20–25. 3 indexed citations
19.
Kiesling, Elmar, Markus Günther, Christian Stummer, & Lea M. Wakolbinger. (2009). An agent-based simulation model for the market diffusion of a second generation biofuel. Winter Simulation Conference. 1474–1481. 10 indexed citations
20.
Kiesling, Elmar, Markus Günther, Christian Stummer, & Lea M. Wakolbinger. (2009). An Agent-based simulation model for the market diffusion of a second generation biofuel. Proceedings of the 2009 Winter Simulation Conference (WSC). 1474–1481. 3 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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