Jörg Sander

48.5k total citations · 11 hit papers
97 papers, 29.4k citations indexed

About

Jörg Sander is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Jörg Sander has authored 97 papers receiving a total of 29.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 41 papers in Signal Processing and 23 papers in Information Systems. Recurrent topics in Jörg Sander's work include Data Management and Algorithms (38 papers), Advanced Clustering Algorithms Research (33 papers) and Data Mining Algorithms and Applications (20 papers). Jörg Sander is often cited by papers focused on Data Management and Algorithms (38 papers), Advanced Clustering Algorithms Research (33 papers) and Data Mining Algorithms and Applications (20 papers). Jörg Sander collaborates with scholars based in Canada, Germany and Brazil. Jörg Sander's co-authors include Hans‐Peter Kriegel, Martin Ester, Xiaowei Xu, Markus Breunig, Raymond T. Ng, Mihael Ankerst, Arthur Zimek, Ricardo J. G. B. Campello, Erich Schubert and Peer Kröger and has published in prestigious journals such as European Journal of Operational Research, Hypertension and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jörg Sander

95 papers receiving 27.8k citations

Hit Papers

5 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 density-based algorithm for discovering clusters in large spatial Databases with Noise

1996 12.5k citations Martin Ester, Hans‐Peter Kriegel et al. Knowledge Discovery and Data Mining profile →
LOF

2000 3.3k citations Hans‐Peter Kriegel, Raymond T. Ng et al. profile →
OPTICS

1999 2.5k citations Hans‐Peter Kriegel, Jörg Sander et al. profile →
LOF

2000 2.5k citations Hans‐Peter Kriegel, Raymond T. Ng et al. profile →
DBSCAN Revisited, Revisited

2017 1.5k citations Jörg Sander, Martin Ester et al. profile →
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

1998 967 citations Jörg Sander, Martin Ester et al. Data Mining and Knowledge Discovery profile →
OPTICS

1999 908 citations Hans‐Peter Kriegel, Jörg Sander et al. profile →
A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise

1996 810 citations Martin Ester, Hans‐Peter Kriegel et al. Knowledge Discovery and Data Mining profile →
Density‐based clustering

2011 554 citations Hans‐Peter Kriegel, Jörg Sander et al. profile →
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

2015 477 citations Ricardo J. G. B. Campello, Davoud Moulavi et al. profile →
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

2016 438 citations Arthur Zimek, Jörg Sander et al. Data Mining and Knowledge Discovery profile →

Peers

Countries citing papers authored by Jörg Sander

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Sander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Sander

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions 2023 ·Briefings in Bioinformatics ·(unknown), Jörg Sander, (unknown), Carlos Fernández-Patrón	1
2	On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles 2023 ·Data Mining and Knowledge Discovery ·(unknown), (unknown), Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek	13
3	Density-Based Clustering Validation 2014 ·Davoud Moulavi, Pablo Andretta Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander	152
4	A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data 2012 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander	4
5	Combining gene expression and interaction network data to improve kidney lesion score prediction 2012 ·International Journal of Bioinformatics Research and Applications ·Davoud Moulavi, (unknown), Jörg Sander, Philip F. Halloran, Russell Greiner	5
6	Decomposing object-oriented class modules using an agglomerative clustering technique 2009 ·PolyPublie (École Polytechnique de Montréal) ·Marios Fokaefs, Nikolaos Tsantalis, Alexander Chatzigeorgiou, Jörg Sander	47
7	Semi-supervised Density-Based Clustering 2009 ·Levi H. S. Lelis, Jörg Sander	58
8	Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations 2008 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Jianjun Zhou, Jörg Sander, Zhipeng Cai, Lusheng Wang, Guohui Lin	4
9	Efficient composite pattern finding from monad patterns 2006 ·International Journal of Bioinformatics Research and Applications ·Jianjun Zhou, Jörg Sander, Guohui Lin	3
10	A trajectory splitting model for efficient spatio-temporal indexing 2005 ·Very Large Data Bases ·(unknown), Jörg Sander, (unknown), Mário A. Nascimento	40
11	Exploiting redundancy in sensor networks for energy efficient processing of spatiotemporal region queries 2005 ·Alexandru Coman, Mário A. Nascimento, Jörg Sander	15
12	Hierarchical Cluster analysis of SAGE data for cancer profiling 2001 ·Raymond T. Ng, Jörg Sander, Monica C. Sleumer	16
13	Knowledge Discovery in Databases - Techniken und Anwendungen 2000 ·Springer eBooks ·Martin Ester, Jörg Sander	20
14	Incremental Clustering for Mining in a Data Warehousing Environment 1998 ·Very Large Data Bases ·Martin Ester, Hans‐Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu	296
15	Algorithms for characterization and trend detection in spatial databases 1998 ·Knowledge Discovery and Data Mining ·Martin Ester, (unknown), Hans‐Peter Kriegel, Jörg Sander	69
16	Clustering for Mining in Large Spatial Databases. 1998 ·Künstliche Intell. ·Martin Ester, Hans‐Peter Kriegel, Jörg Sander, Xiaowei Xu	39
17	Density-connected sets and their application for trend detection in spatial databases 1997 ·Knowledge Discovery and Data Mining ·Martin Ester, Hans‐Peter Kriegel, Jörg Sander, Xiaowei Xu	28
18	A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise breakdown → 1996 ·Knowledge Discovery and Data Mining ·Martin Ester, Hans‐Peter Kriegel, Jörg Sander, Xiaowei Xu	810
19	A density-based algorithm for discovering clusters in large spatial Databases with Noise breakdown → 1996 ·Knowledge Discovery and Data Mining ·Martin Ester, Hans‐Peter Kriegel, Jörg Sander, Xiaowei Xu	12527
20	[Induction of malignant tumors in rats by oral administration of N,N'-dimethylurea and nitrite]. 1970 ·PubMed ·Jörg Sander	12

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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