Markus Bayer

830 total citations · 1 hit paper
11 papers, 426 citations indexed

About

Markus Bayer is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Markus Bayer has authored 11 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Markus Bayer's work include Software Engineering Research (3 papers), Topic Modeling (3 papers) and Information and Cyber Security (3 papers). Markus Bayer is often cited by papers focused on Software Engineering Research (3 papers), Topic Modeling (3 papers) and Information and Cyber Security (3 papers). Markus Bayer collaborates with scholars based in Germany. Markus Bayer's co-authors include Christian Reuter, Marc–André Kaufhold, Marcel Keller, Björn Buchhold, Tobias Frey, Tobias Beckmann, Daniel Carl, Jennifer Fromm, Milad Mirbabaie and Marc Stöttinger and has published in prestigious journals such as ACM Computing Surveys, Information Processing & Management and Computers & Security.

In The Last Decade

Markus Bayer

11 papers receiving 409 citations

Hit Papers

align trajectories

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.

A Survey on Data Augmentation for Text Classification

2022 212 citations Markus Bayer, Marc–André Kaufhold et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Bayer Germany	7	261	96	57	51	41	11	426
Luca Rossi United Kingdom	13	284 1.1×	49 0.5×	61 1.1×	130 2.5×	38 0.9×	38	502
O‐Joun Lee South Korea	13	169 0.6×	65 0.7×	76 1.3×	114 2.2×	57 1.4×	58	421
Pablo Gamallo Spain	17	657 2.5×	120 1.3×	61 1.1×	33 0.6×	19 0.5×	104	878
Zhigang Yuan China	14	500 1.9×	119 1.2×	56 1.0×	28 0.5×	30 0.7×	26	615
George Gkotsis Greece	4	137 0.5×	77 0.8×	23 0.4×	31 0.6×	15 0.4×	18	329
Mohamed Dekhil United States	9	316 1.2×	158 1.6×	58 1.0×	46 0.9×	10 0.2×	35	491
Toru Nakamura Japan	9	145 0.6×	101 1.1×	113 2.0×	67 1.3×	13 0.3×	33	318
Yijian Wu China	8	103 0.4×	136 1.4×	14 0.2×	21 0.4×	49 1.2×	41	311
Seema Nagar India	13	251 1.0×	106 1.1×	43 0.8×	53 1.0×	37 0.9×	33	431
Zhitao Wang China	14	230 0.9×	137 1.4×	34 0.6×	46 0.9×	15 0.4×	35	456

Countries citing papers authored by Markus Bayer

Since Specialization

Citations

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

Fields of papers citing papers by Markus Bayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Bayer

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

All Works

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11 of 11 papers shown

1.

Kaufhold, Marc–André, et al.. (2024). ‘We Do Not Have the Capacity to Monitor All Media’: A Design Case Study on Cyber Situational Awareness in Computer Emergency Response Teams. TUbilio (Technical University of Darmstadt). 1–16. 4 indexed citations

2.

Bayer, Markus, et al.. (2024). CySecBERT : A Domain-Adapted Language Model for the Cybersecurity Domain. ACM Transactions on Privacy and Security. 27(2). 1–20. 22 indexed citations

3.

Bayer, Markus, Tobias Frey, & Christian Reuter. (2023). Multi-level fine-tuning, data augmentation, and few-shot learning for specialized cyber threat intelligence. Computers & Security. 134. 103430–103430. 12 indexed citations

4.

Bayer, Markus, Marc–André Kaufhold, & Christian Reuter. (2022). A Survey on Data Augmentation for Text Classification. ACM Computing Surveys. 55(7). 1–39. 212 indexed citations breakdown →

5.

Bayer, Markus, et al.. (2022). Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers. International Journal of Machine Learning and Cybernetics. 14(1). 135–150. 73 indexed citations

6.

Bayer, Markus, et al.. (2021). OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases. TUbilio (Technical University of Darmstadt). 1–11. 12 indexed citations

7.

Kaufhold, Marc–André, Jennifer Fromm, Milad Mirbabaie, et al.. (2021). CYWARN: Strategy and Technology Development for Cross-Platform Cyber Situational Awareness and Actor-Specific Cyber Threat Communication. TUbilio (Technical University of Darmstadt). 3 indexed citations

8.

Kaufhold, Marc–André, Markus Bayer, & Christian Reuter. (2019). Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning. Information Processing & Management. 57(1). 102132–102132. 61 indexed citations

9.

Beckmann, Tobias, et al.. (2019). Industrial applications of digital holography. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). Tu4B.1–Tu4B.1. 3 indexed citations

10.

Beckmann, Tobias, et al.. (2019). Inline application of digital holography [Invited]. Applied Optics. 58(34). G120–G120. 23 indexed citations

11.

Reuter, Christian, et al.. (2018). Resiliente Digitalisierung der kritischen Infrastruktur Landwirtschaft - mobil, dezentral, ausfallsicher. Gesellschaft für Informatik (GI). 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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