Ann Clifton

436 total citations
11 papers, 89 citations indexed

About

Ann Clifton is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Ann Clifton has authored 11 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Communication and 2 papers in Information Systems. Recurrent topics in Ann Clifton's work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (3 papers). Ann Clifton is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (3 papers). Ann Clifton collaborates with scholars based in Canada, United States and Sweden. Ann Clifton's co-authors include Anoop Sarkar, Ben Carterette, Yongze Yu, Rosie Jones, Sravana Reddy, Jussi Karlgren, Aasish Pappu, Hamed Bonab, Gareth J. F. Jones and Maria Eskevich and has published in prestigious journals such as ANU Open Research (Australian National University), Meeting of the Association for Computational Linguistics and Workshop on Statistical Machine Translation.

In The Last Decade

Ann Clifton

10 papers receiving 83 citations

Peers

Ann Clifton
Comparison fields: 5 of 33
  • Artificial Intelligence 63
  • Communication 17
  • Information Systems 15
  • Signal Processing 9
  • Computer Vision and Pattern Recognition 9
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Citations per field, relative to Ann Clifton
Ann Clifton · 1×
Citations per year, relative to Ann Clifton
Ann Clifton · 1×

Countries citing papers authored by Ann Clifton

Since Specialization
Citations

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

Fields of papers citing papers by Ann Clifton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Clifton

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Clifton. A scholar is included among the top collaborators of Ann Clifton 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 Ann Clifton. Ann Clifton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 13
3 34
4
Spotify at the TREC 2020 Podcasts Track: Segment Retrieval.
2
5
TREC 2020 Podcasts Track Overview.
1
6
Abstract Podcast Summarization using BART with Longformer Attention.
2
7
Leveraging Data Resources for Cross-Linguistic Information Retrieval Using Statistical Machine Translation
3
8
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
6
9
Kriya - The SFU System for Translation Task at WMT-12
2
10
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
22
11 4

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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