Martin Doerr

93 papers receiving 1.4k citations

Peers

Martin Doerr
Comparison fields: 5 of 105
  • Space and Planetary Science 129
  • Conservation 220
  • Geology 331
  • Artificial Intelligence 897
  • Computer Vision and Pattern Recognition 418
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Antoine Isaac Netherlands
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Richard Marciano United States
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Citations per year

Countries citing papers authored by Martin Doerr

Since Specialization
Citations

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

Fields of papers citing papers by Martin Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Towards a Core Ontology for Information Integration
2003140
2 200990
3
Semantic problems of thesaurus mapping
200684
4 200771
5 201766
6
Integrating Dublin Core metadata for cultural heritage collections using ontologies
200755
7 200854
8
CRMdig: A Generic Digital Provenance Model for Scientific Observation.
201151
9 201048
10 200844
11 200841
12 201538
13 201634
14 201634
15 201333
16 200731
17
Semantic Interoperability in Digital Library Systems
200528
18 200527
19 201427
20 201027

About Martin Doerr

Martin Doerr is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (61 papers), Advanced Database Systems and Queries (20 papers), Data Quality and Management (13 papers), Image Processing and 3D Reconstruction (13 papers), Scientific Computing and Data Management (12 papers), Biomedical Text Mining and Ontologies (12 papers), Natural Language Processing Techniques (11 papers) and 3D Surveying and Cultural Heritage (9 papers). The work is most often cited by research in Space and Planetary Science (129 citations), Conservation (220 citations), Geology (331 citations), Artificial Intelligence (897 citations) and Computer Vision and Pattern Recognition (418 citations). Martin Doerr has collaborated with scholars based in Greece, Germany and Italy. Frequent co-authors include Μαρία Θεοδωρίδου, Jane Hunter, Carl Lagoze, Christos Papatheodorou, Yannis Marketakis, Yannis Tzitzikas, Panos Constantopoulos, Carlo Meghini, Franco Niccolucci and Manolis Gergatsoulis. Their work appears in journals such as Journal on Computing and Cultural Heritage, International Journal on Digital Libraries, D-Lib Magazine, Lecture notes in computer science and Distributed and Parallel Databases.

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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