Markus Goldstein

2.7k total citations · 2 hit papers
20 papers, 1.8k citations indexed

About

Markus Goldstein is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Markus Goldstein has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 3 papers in Hardware and Architecture. Recurrent topics in Markus Goldstein's work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (7 papers) and Network Packet Processing and Optimization (3 papers). Markus Goldstein is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (7 papers) and Network Packet Processing and Optimization (3 papers). Markus Goldstein collaborates with scholars based in Germany, United States and Japan. Markus Goldstein's co-authors include Seiichi Uchida, Andreas Dengel, William R. Dillon, Sangit Chätterjee, Slim Abdennadher, Matthias Reif, Thomas M. Breuel, Faisal Shafait, Armin Stahl and Christopher Udry and has published in prestigious journals such as PLoS ONE, Biometrics and IEEE Transactions on Information Theory.

In The Last Decade

Markus Goldstein

20 papers receiving 1.7k citations

Hit Papers

A Comparative Evalu... 1985 2026 1998 2012 2016 1985 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
Markus Goldstein Germany 10 1.1k 558 286 208 122 20 1.8k
Ashok N. Srivastava United States 22 1.1k 1.0× 249 0.4× 413 1.4× 293 1.4× 186 1.5× 72 2.2k
S.R. Safavian United States 4 1.0k 0.9× 264 0.5× 271 0.9× 167 0.8× 357 2.9× 11 2.7k
Thomas D. Nielsen Denmark 21 1.7k 1.5× 254 0.5× 243 0.8× 304 1.5× 187 1.5× 73 3.4k
Kevin B. Korb Australia 21 1.3k 1.2× 150 0.3× 166 0.6× 140 0.7× 115 0.9× 92 2.8k
Matthias Schubert Germany 19 835 0.8× 337 0.6× 394 1.4× 142 0.7× 444 3.6× 106 2.3k
Chao Gao China 28 604 0.5× 379 0.7× 110 0.4× 80 0.4× 230 1.9× 165 2.5k
Brian Mac Namee Ireland 19 691 0.6× 190 0.3× 208 0.7× 79 0.4× 166 1.4× 118 1.6k
Jiawei Luo China 15 720 0.7× 202 0.4× 123 0.4× 223 1.1× 265 2.2× 71 2.1k
David Poole Canada 32 3.2k 2.9× 793 1.4× 675 2.4× 202 1.0× 211 1.7× 109 4.5k
Xiuju Fu Singapore 23 615 0.6× 141 0.3× 134 0.5× 142 0.7× 254 2.1× 101 2.5k

Countries citing papers authored by Markus Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Markus Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Goldstein. A scholar is included among the top collaborators of Markus Goldstein 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 Goldstein. Markus Goldstein 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.
Goldstein, Markus. (2023). Special Issue on Unsupervised Anomaly Detection. Applied Sciences. 13(10). 5916–5916. 6 indexed citations
2.
Goldstein, Markus & Seiichi Uchida. (2016). A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. PLoS ONE. 11(4). e0152173–e0152173. 591 indexed citations breakdown →
3.
Goldstein, Markus & Seiichi Uchida. (2016). A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection. 263–269. 5 indexed citations
4.
Goldstein, Markus, et al.. (2013). Enhancing Security Event Management Systems with Unsupervised Anomaly Detection. 530–538. 8 indexed citations
5.
Goldstein, Markus, et al.. (2013). Document Authentication Using Printing Technique Features and Unsupervised Anomaly Detection. UWA Profiles and Research Repository (UWA). 479–483. 33 indexed citations
6.
Goldstein, Markus, et al.. (2013). Enhancing one-class support vector machines for unsupervised anomaly detection. 8–15. 291 indexed citations
7.
Croppenstedt, André, et al.. (2013). Gender and Agriculture : Inefficiencies, Segregation, and Low Productivity Traps. The World Bank Open Knowledge Repository (World Bank). 5 indexed citations
8.
Reif, Matthias, Faisal Shafait, Markus Goldstein, Thomas M. Breuel, & Andreas Dengel. (2012). Automatic classifier selection for non-experts. Pattern Analysis and Applications. 17(1). 83–96. 99 indexed citations
9.
Goldstein, Markus & Andreas Dengel. (2012). Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm. 265 indexed citations
10.
Ali, Daniel Ayalew, Klaus Deininger, & Markus Goldstein. (2011). Environmental and Gender Impacts of Land Tenure Regularization in Africa: Pilot Evidence from Rwanda. World Bank, Washington, DC eBooks. 7 indexed citations
11.
Goldstein, Markus, Matthias Reif, Armin Stahl, & Thomas M. Breuel. (2009). Server-Side Prediction of Source IP Addresses Using Density Estimation. 82–89. 4 indexed citations
12.
Goldstein, Markus, Matthias Reif, Armin Stahl, & Thomas M. Breuel. (2008). High performance traffic shaping for DDoS mitigation. 1–2. 7 indexed citations
13.
Reif, Matthias, Markus Goldstein, Armin Stahl, & Thomas M. Breuel. (2008). Anomaly detection by combining decision trees and parametric densities. Proceedings - International Conference on Pattern Recognition. 1–4. 22 indexed citations
14.
Goldstein, Markus, Christoph H. Lampert, Matthias Reif, Armin Stahl, & Thomas M. Breuel. (2008). Bayes Optimal DDoS Mitigation by Adaptive History-Based IP Filtering. 174–179. 16 indexed citations
15.
Goldstein, Markus & Christopher Udry. (2003). Gender, Power and Agricultural Investment in Ghana1. 12 indexed citations
16.
Krzanowski, W. J., William R. Dillon, & Markus Goldstein. (1986). Multivariate Analysis-Methods and Applications.. Biometrics. 42(1). 222–222. 5 indexed citations
17.
Chätterjee, Sangit, William R. Dillon, & Markus Goldstein. (1985). Multivariate Analysis: Methods and Applications. Journal of Business and Economic Statistics. 3(4). 410–410. 416 indexed citations breakdown →
18.
Goldstein, Markus. (1975). Some remarks on probability inequalities for sums of bounded convex random variables. Journal of Applied Probability. 12(1). 155–158. 2 indexed citations
19.
Goldstein, Markus. (1975). Some remarks on probability inequalities for sums of bounded convex random variables. Journal of Applied Probability. 12(1). 155–158. 1 indexed citations
20.
Goldstein, Markus. (1972). k_n-nearest neighbor classification. IEEE Transactions on Information Theory. 18(5). 627–630. 30 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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