Robert Frederking

1.3k citations
58 papers · 655 indexed · h-index 15

Robert Frederking

48 papers receiving 485 citations

Peers

Robert Frederking
Comparison fields: 5 of 55
  • Artificial Intelligence 539
  • Information Systems 133
  • Statistical and Nonlinear Physics 45
  • Language and Linguistics 35
  • Communication 20
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Citations per year

Countries citing papers authored by Robert Frederking

Since Specialization
Citations

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

Fields of papers citing papers by Robert Frederking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20180
2 20181
3
The CMU METAL Farsi NLP Approach
20147
4
Resources for the Detection of Conventionalized Metaphors in Four Languages
201411
5
Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization
201223
6
CONE: Metrics for Automatic Evaluation of Named Entity Co-Reference Resolution
20100
7
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
20084
8 20081
9
Coling 2008: Proceedings of the workshop on Speech Processing for Safety Critical Translation and Pervasive Applications
20081
10
JAVELIN I and II Systems at TREC 2005
200520
11 20043
12
TONGUES: rapid development of a speech-to-speech translation system
200214
13 20029
14 20023
15
Language on trial
19991
16
Issues in database design: recordíng and processing speech from new populations
19982
17 199859
18
The Pangloss-Lite machine translation system.
199637
19
Integrating Translations from Multiple Sources within the PANGLOSS Mark III Machine Translation System.
199426
20 19910

About Robert Frederking

Robert Frederking is a scholar working on Artificial Intelligence, Software, Management Science and Operations Research, Language and Linguistics and Signal Processing, having authored 58 papers that have together received 655 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Speech and dialogue systems (18 papers), Topic Modeling (18 papers), Speech Recognition and Synthesis (12 papers), Semantic Web and Ontologies (7 papers), AI-based Problem Solving and Planning (5 papers), Advanced Text Analysis Techniques (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (539 citations), Information Systems (133 citations), Statistical and Nonlinear Physics (45 citations), Language and Linguistics (35 citations) and Communication (20 citations). Robert Frederking has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sergei Nirenburg, Ralf D. Brown, Anatole Gershman, Rushin Shah, Jaime Carbonell, Kevin Dela Rosa, Christopher J. Hogan, Alexander I. Rudnicky, Yiming Yang and Kevin Lenzo. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence, D-Lib Magazine, Machine Translation and Lecture notes in computer science.

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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