Laurie Gerber
- Artificial Intelligence top 5%
- Information Systems top 10%
- Molecular Biology
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- Eduard HovyChin-Yew LinUlf HermjakobMichael JunkDeepak RavichandranInderjeet ManiLisa FerroBeth Sundheim
- Topics
- Natural Language Processing Techniques (9 papers)Speech and dialogue systems (4 papers)Topic Modeling (4 papers)
- Journals
- Lecture notes in computer scienceMedEdPORTALText REtrieval Conference
- Partner nations
- United StatesCanada
In The Last Decade
Laurie Gerber
11 papers receiving 360 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 433
- Information Systems 103
- Molecular Biology 26
- Signal Processing 23
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Laurie Gerber
This map shows the geographic impact of Laurie Gerber'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 Laurie Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurie Gerber more than expected).
Fields of papers citing papers by Laurie Gerber
This network shows the impact of papers produced by Laurie Gerber. 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 Laurie Gerber. The network helps show where Laurie Gerber may publish in the future.
Co-authorship network of co-authors of Laurie Gerber
This figure shows the co-authorship network connecting the top 25 collaborators of Laurie Gerber. A scholar is included among the top collaborators of Laurie Gerber 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 Laurie Gerber. Laurie Gerber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Paralinguist Assessment Decision Factors For Machine Translation Output: A Case Study | 3 |
| 3 | 2003 Standard for the Annotation of Temporal Expressions | 95 |
| 4 | Language Weaver: The Next Generation of Machine Translation | 1 |
| 5 | Annotating temporal information: from theory to practice | 8 |
| 6 | 34 | |
| 7 | 3 | |
| 8 | 112 | |
| 9 | Question Answering in Webclopedia. | 164 |
| 10 | Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup | 3 |
| 11 | 23 | |
| 12 | SYSTRAN MT Dictionary Development | 8 |
| 13 | R&D for Commercial MT | 1 |
About Laurie Gerber
Laurie Gerber is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Language and Linguistics, having authored 13 papers that have together received 456 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (433 citations), Information Systems (103 citations) and Signal Processing (23 citations). Laurie Gerber has collaborated with scholars based in United States and Canada. Frequent co-authors include Eduard Hovy, Chin-Yew Lin, Ulf Hermjakob, Michael Junk, Deepak Ravichandran, Inderjeet Mani, Lisa Ferro, Beth Sundheim, George D. Wilson and David Farwell. Their work appears in journals such as Lecture notes in computer science, MedEdPORTAL and Text REtrieval Conference.
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.