Ken Barker
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Molecular Biology
- Signal Processing top 10%
- Co-authors
- Bruce PorterStan ŚzpakowiczPeter E. ClarkC. I. EzeifeReda AlhajjPeter Z. YehJames FanVinay K. Chaudhri
- Topics
- Natural Language Processing Techniques (26 papers)Topic Modeling (25 papers)Semantic Web and Ontologies (25 papers)
- Partner nations
- United StatesCanadaLebanon
In The Last Decade
Ken Barker
78 papers receiving 725 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 672
- Information Systems 198
- Computer Networks and Communications 188
- Molecular Biology 98
- Signal Processing 79
Countries citing papers authored by Ken Barker
This map shows the geographic impact of Ken Barker'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 Ken Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Barker more than expected).
Fields of papers citing papers by Ken Barker
This network shows the impact of papers produced by Ken Barker. 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 Ken Barker. The network helps show where Ken Barker may publish in the future.
Co-authorship network of co-authors of Ken Barker
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Barker. A scholar is included among the top collaborators of Ken Barker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken Barker. Ken Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Focused Grounding for Markov Logic Networks. | 2 |
| 2 | 2 | |
| 3 | Building an end-to-end text reading system based on a packed representation | 1 |
| 4 | Learning by reading: a prototype system, performance baseline and lessons learned | 32 |
| 5 | 3 | |
| 6 | A unified knowledge based approach for sense disambiguationm and semantic role labeling | 9 |
| 7 | 1 | |
| 8 | Towards a quantitative, platform-independent analysis of knowledge systems | 16 |
| 9 | 0 | |
| 10 | A question-answering system for AP chemistry: assessing KR&R technologies | 24 |
| 11 | A Knowledge Acquisition Tool for Course of Action Analysis | 26 |
| 12 | The knowledge required to interpret noun compounds | 14 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | A formal perspective to specification of transaction systems | 1 |
| 16 | Partial Re-execution: Reconciling Transactions to Increase Concurrency in Object-bases. | 1 |
| 17 | 59 | |
| 18 | 6 | |
| 19 | Review of Natural language processing for prolog programmers by Michael A. Covington. Prentice-Hall 1994. | 13 |
| 20 | The integration of database systems | 2 |
About Ken Barker
Ken Barker is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 82 papers that have together received 853 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Topic Modeling (25 papers) and Semantic Web and Ontologies (25 papers). The work is most often cited by research in Artificial Intelligence (672 citations), Information Systems (198 citations) and Computer Networks and Communications (188 citations). Ken Barker has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Bruce Porter, Stan Śzpakowicz, Peter E. Clark, C. I. Ezeife, Reda Alhajj, Peter Z. Yeh, James Fan, Vinay K. Chaudhri, Sunil Kumar Mishra and Quang M. Trinh. Their work appears in journals such as Bioinformatics, Computational Linguistics and Knowledge and Information Systems.
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.