Frederick Maier

26 papers receiving 285 citations

Peers

Frederick Maier
Comparison fields: 5 of 87
  • Artificial Intelligence 114
  • Computer Science Applications 16
  • Computer Vision and Pattern Recognition 51
  • Signal Processing 25
  • Global and Planetary Change 48
Replace Damjan Strnad with:
Damjan Strnad Slovenia
Sharifah Sakinah Syed Ahmad Malaysia
Natalia Villanueva‐Rosales United States
Dominic Palmer-Brown United Kingdom
Mitra Baratchi Netherlands
Soumadip Ghosh India
Jan Kuper Netherlands
Gilberto Arantes Carrijo Brazil
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Citations per year

Countries citing papers authored by Frederick Maier

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200547
2 201136
3 202131
4 200330
5 201627
6
A MapReduce Algorithm for EL
201025
7 200721
8 201721
9 202216
10 200911
11 20138
12 20078
13 20188
14
AN AGENT ARCHITECTURE FOR AN INTEGRATED FOREST ECOSYSTEM MANAGEMENT DECISION SUPPORT SYSTEM
20034
15 20174
16 20223
17
Distributed Reasoning with EL++ using MapReduce
20103
18 20163
19
Efficient Integration of PROLOG and Relational Databases in the NED Intelligent Information System.
20032
20
Extending paraconsistent SROIQ
20102

About Frederick Maier

Frederick Maier is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Nature and Landscape Conservation, Global and Planetary Change and Signal Processing, having authored 28 papers that have together received 318 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Logic, Reasoning, and Knowledge (6 papers), Forest Management and Policy (5 papers), Natural Language Processing Techniques (3 papers), Context-Aware Activity Recognition Systems (3 papers), Forest ecology and management (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Artificial Intelligence (114 citations), Computer Science Applications (16 citations), Computer Vision and Pattern Recognition (51 citations), Signal Processing (25 citations) and Global and Planetary Change (48 citations). Frederick Maier has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Pascal Hitzler, Khaled Rasheed, Donald Nute, Raghava Mutharaju, Markus Krötzsch, Adila Alfa Krisnadhi, H. Michael Rauscher, Walter D. Potter, Mark J. Twery and Lakshmish Ramaswamy. Their work appears in journals such as Synthese, Environmental Modelling & Software, Computers and Electronics in Agriculture, The Journal of the Acoustical Society of America and The International Forestry Review.

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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