Michael A. Erdmann

6.0k citations
102 papers · 4.5k · 1 hit paper · h-index 30

Impact in

Papers in

Michael A. Erdmann

95 papers receiving 4.1k citations

Michael A. Erdmann's Hit Papers

On multiple moving objects 1987 · 626 citations
6260+13+26Years since publication200400600

Peers

Michael A. Erdmann
Comparison fields: 5 of 134
  • Control and Systems Engineering 1.6k
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 1.6k
  • Computer Graphics and Computer-Aided Design 145
  • Information Systems 803
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Countries citing papers authored by Michael A. Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Erdmann. 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 Michael A. Erdmann. The network helps show where Michael A. Erdmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael A. Erdmann, 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 Michael A. Erdmann Line = papers co-authored together Michael A. Erdmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On multiple moving objects
Hit paper breakdown →
1987626
2 1988401
3 1999380
4 2003336
5 2002280
6 2014223
7
On Motion Planning with Uncertainty
1984156
8 2000133
9 1994111
10 1998101
11 200593
12 200987
13
On2broker: Semantic-based access to information sources at the WWW
199987
14 200686
15 200378
16 199872
17 200172
18 199571
19
The NeOn Ontology Engineering Toolkit
200855
20
Engineering Ontologies using Semantic Patterns.
200152

About Michael A. Erdmann

Michael A. Erdmann is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 102 papers that have together received 4.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (31 papers), Robot Manipulation and Learning (29 papers), Robotic Path Planning Algorithms (20 papers), Advanced Database Systems and Queries (15 papers), Service-Oriented Architecture and Web Services (15 papers), Robotic Mechanisms and Dynamics (10 papers), Soft Robotics and Applications (9 papers) and AI-based Problem Solving and Planning (8 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.6k citations), Computer Graphics and Computer-Aided Design (145 citations) and Information Systems (803 citations). Michael A. Erdmann has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Tomás Lozano‐Pérez, Matthew T. Mason, Rudi Studer, Stefan Decker, Dieter Fensel, Steffen Staab, Mark Moll, Brian Horsfield, Steve Larter and Steven M. Seitz. Their work appears in journals such as The International Journal of Robotics Research, Springer tracts in advanced robotics, Organic Geochemistry, Algorithmica and JDDG Journal der Deutschen Dermatologischen Gesellschaft.

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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