Peter Haider

422 total citations
9 papers, 142 citations indexed

About

Peter Haider is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Peter Haider has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Peter Haider's work include Spam and Phishing Detection (4 papers), Bayesian Methods and Mixture Models (3 papers) and Machine Learning and Algorithms (2 papers). Peter Haider is often cited by papers focused on Spam and Phishing Detection (4 papers), Bayesian Methods and Mixture Models (3 papers) and Machine Learning and Algorithms (2 papers). Peter Haider collaborates with scholars based in Germany, India and Spain. Peter Haider's co-authors include Tobias Scheffer, Steffen Bickel, Ulf Brefeld, David S. Vogel, Samit Bhattacharya, A. Basu and Michael Brückner and has published in prestigious journals such as ACM SIGKDD Explorations Newsletter, Max Planck Institute for Plasma Physics and arXiv (Cornell University).

In The Last Decade

Peter Haider

9 papers receiving 131 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Haider Germany	7	115	59	23	17	15	9	142
Rani Nelken United States	9	201 1.7×	28 0.5×	26 1.1×	14 0.8×	16 1.1×	18	234
Paul Komarek United States	4	78 0.7×	26 0.4×	26 1.1×	8 0.5×	7 0.5×	6	115
Arun Tejasvi Chaganty United States	8	179 1.6×	31 0.5×	27 1.2×	12 0.7×	11 0.7×	16	217
Gabriel Pereira Lopes Portugal	10	216 1.9×	37 0.6×	17 0.7×	11 0.6×	11 0.7×	42	245
Antti Puurula New Zealand	8	305 2.7×	63 1.1×	27 1.2×	39 2.3×	6 0.4×	10	336
Yusuke Shinyama United States	6	365 3.2×	83 1.4×	22 1.0×	8 0.5×	9 0.6×	8	395
Xiangchen Song United States	8	142 1.2×	81 1.4×	26 1.1×	12 0.7×	10 0.7×	13	173
Eric Nalisnick United States	7	173 1.5×	47 0.8×	42 1.8×	7 0.4×	9 0.6×	19	214
Kalpa Gunaratna United States	7	120 1.0×	34 0.6×	11 0.5×	23 1.4×	15 1.0×	17	152

Countries citing papers authored by Peter Haider

Since Specialization

Citations

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

Fields of papers citing papers by Peter Haider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Haider

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

All Works

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9 of 9 papers shown

1.

Haider, Peter & Tobias Scheffer. (2012). Finding Botnets Using Minimal Graph Clusterings. arXiv (Cornell University). 251–258. 2 indexed citations

2.

Haider, Peter, et al.. (2012). Discriminative clustering for market segmentation. 4. 417–425. 11 indexed citations

3.

Haider, Peter & Tobias Scheffer. (2009). Bayesian clustering for email campaign detection. 385–392. 9 indexed citations

4.

Haider, Peter, et al.. (2008). Learning from incomplete data with infinite imputations. Max Planck Institute for Plasma Physics. 232–239. 23 indexed citations

5.

Haider, Peter, Ulf Brefeld, & Tobias Scheffer. (2007). Supervised clustering of streaming data for email batch detection. Max Planck Institute for Plasma Physics. 345–352. 27 indexed citations

6.

Brückner, Michael, Peter Haider, & Tobias Scheffer. (2006). Highly Scalable Discriminative Spam Filtering.. 1 indexed citations

7.

Vogel, David S., et al.. (2005). Classifying search engine queries using the web as background knowledge. ACM SIGKDD Explorations Newsletter. 7(2). 117–122. 30 indexed citations

8.

Bhattacharya, Samit, et al.. (2005). A virtual predictive keyboard as a learning aid for people with neuro-motor disorders. 1032–1036. 11 indexed citations

9.

Bickel, Steffen, Peter Haider, & Tobias Scheffer. (2005). Predicting sentences using N-gram language models. 193–200. 28 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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