Peter Scheuermann

5.6k citations

127 papers · 3.6k indexed · 2 hit papers · h-index 24

Impact in

Signal Processing top 0.2%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Music and Audio Processing
Computer Networks and Communications top 1%
- Caching and Content Delivery
- Advanced Data Storage Technologies
- Advanced Database Systems and Queries

Papers in ⓘ

Computer Networks and Communications 91
- Advanced Database Systems and Queries 34
- Advanced Data Storage Technologies 22
- Energy Efficient Wireless Sensor Networks 20
- Distributed systems and fault tolerance 20
- Mobile Ad Hoc Networks 9
Signal Processing 52
- Data Management and Algorithms 52

Co-authors: Goce Trajcevski (46 shared papers)Hui Ding (5 shared papers)Xiaoyue Wang (2 shared papers)Eamonn Keogh (2 shared papers)Radek Vingralek (9 shared papers)Junho Shim (5 shared papers)Manoranjan Dash (5 shared papers)Abdullah Mueen (1 shared paper)
Journals: IEEE Transactions on Knowledge and Data Engineering (3 papers)ACM SIGMOD Record (3 papers)The VLDB Journal (2 papers)BIT Numerical Mathematics (2 papers)GeoInformatica (2 papers)
Partner nations: United States China Australia

In The Last Decade

Peter Scheuermann

118 papers receiving 3.3k citations

Hit Papers

align trajectories log scale

Experimental comparison of representation methods and distance measures for time series data 2012 · 550 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2012 Data Mining and Knowledge Discovery
2008 Proceedings of the VLDB Endowment

Peers

Countries citing papers authored by Peter Scheuermann

Since Specialization

Citations

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

Fields of papers citing papers by Peter Scheuermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Scheuermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Scheuermann Line = papers co-authored together Peter Scheuermann links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Querying and mining of time series data Proceedings of the VLDB Endowment ·Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiaoyue Wang, Eamonn Keogh Hit paper breakdown →	2008	905
2	Experimental comparison of representation methods and distance measures for time series data Data Mining and Knowledge Discovery ·Xiaoyue Wang, Abdullah Mueen, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn Keogh Hit paper breakdown →	2012	550
3	Feature selection for clustering - a filter solution Manoranjan Dash, Keunho Choi, Peter Scheuermann, Huan Liu	2003	260
4	Proxy cache algorithms: design, implementation, and performance IEEE Transactions on Knowledge and Data Engineering ·Junho Shim, Peter Scheuermann, Radek Vingralek	1999	143
5	Selection algorithms for replicated Web servers ACM SIGMETRICS Performance Evaluation Review ·Mehmet Sayal, Yuri Breitbart, Peter Scheuermann, Radek Vingralek	1998	128
6	Data partitioning and load balancing in parallel disk systems The VLDB Journal ·Peter Scheuermann, Gerhard Weikum, Peter Zabback	1998	124
7	WATCHMAN: A Data Warehouse Intelligent Cache Manager Very Large Data Bases ·Peter Scheuermann, Junho Shim, Radek Vingralek	1996	81
8	File assignment in parallel I/O systems with minimal variance of service time IEEE Transactions on Computers ·Lin-Wen Lee, Peter Scheuermann, Radek Vingralek	2000	79
9	A case for delay-conscious caching of Web documents Computer Networks and ISDN Systems ·Peter Scheuermann, Junho Shim, Radek Vingralek	1997	71
10	Probabilistic range queries for uncertain trajectories on road networks Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Kai Zheng, Goce Trajcevski, Xiaofang Zhou, Peter Scheuermann	2011	70
11	Fast hierarchical clustering and its validation Data & Knowledge Engineering ·Manoranjan Dash, Huan Liu, Peter Scheuermann, Kian‐Lee Tan	2002	65
12	A new two-phase sampling based algorithm for discovering association rules Bin Chen, Peter J. Haas, Peter Scheuermann	2002	62
13	Dynamic file allocation in disk arrays Gerhard Weikum, Peter Zabback, Peter Scheuermann	1991	57
14	Continuous probabilistic nearest-neighbor queries for uncertain trajectories Goce Trajcevski, Roberto Tamassia, Hui Ding, Peter Scheuermann, Isabel F. Cruz	2009	51
15	Multidimensional B-trees for associative searching in database systems Information Systems ·Peter Scheuermann, Mohamed Ouksel	1982	48
16	Storage mappings for multidimensional linear dynamic hashing Mohamed Ouksel, Peter Scheuermann	1983	43
17	Efficient Similarity Join of Large Sets of Moving Object Trajectories Hui Ding, Goce Trajcevski, Peter Scheuermann	2008	42
18	SIDnet-SWANS Oliviu Ghica, Goce Trajcevski, Peter Scheuermann, Zachary S. Bischof, Nikolay Valtchanov	2008	41
19	CATIS: A Context-Aware Tourist Information System Ariel Pashtan, (unknown), (unknown), A. Heusser, Peter Scheuermann	2003	37
20	Efficient data reduction with EASE Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann	2003	37

About Peter Scheuermann

Peter Scheuermann is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 127 papers that have together received 3.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (52 papers), Advanced Database Systems and Queries (34 papers), Advanced Data Storage Technologies (22 papers), Energy Efficient Wireless Sensor Networks (20 papers), Distributed systems and fault tolerance (20 papers), Data Mining Algorithms and Applications (14 papers), Indoor and Outdoor Localization Technologies (11 papers) and Mobile Ad Hoc Networks (9 papers). The work is most often cited by research in Signal Processing (1.8k citations), Computer Networks and Communications (1.4k citations), Artificial Intelligence (1.4k citations), Information Systems (584 citations) and Geography, Planning and Development (141 citations). Peter Scheuermann has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Goce Trajcevski, Hui Ding, Xiaoyue Wang, Eamonn Keogh, Radek Vingralek, Junho Shim, Manoranjan Dash, Abdullah Mueen, Huan Liu and Peter Zabback. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, The VLDB Journal, BIT Numerical Mathematics and GeoInformatica.

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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