Martha Larson

6.0k citations
150 papers · 3.0k indexed · 1 hit paper · h-index 29

Martha Larson

143 papers receiving 2.8k citations

Hit Papers

Collaborative Filtering beyond the User-Item Matrix5662014202620182022100200300400500

Peers

Martha Larson
Comparison fields: 5 of 156
  • Information Systems 1.5k
  • Computer Vision and Pattern Recognition 963
  • Artificial Intelligence 1.1k
  • Transportation 221
  • Signal Processing 316
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Luo Si United States
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Haim Kaplan Israel
Ruoming Jin United States
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Citations per field
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Citations per year

Countries citing papers authored by Martha Larson

Since Specialization
Citations

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

Fields of papers citing papers by Martha Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20239
4 20234
5 20227
6 202012
7 20208
8
The potentials of recommender systems challenges for student learning
20161
9
CLiMF: collaborative less-is-more filtering
201318
10 201328
11
Spoken content retrieval: A survey of techniques and technologies
201236
12 20123
13 201235
14 20119
15 201010
16 201010
17 200915
18
On the topical structure of the relevance feedback set
20083
19 20082
20
Robust keyword spotting and mobile information retrieval for emergency team communication in the EU Project SHARE
20051

About Martha Larson

Martha Larson is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications, Signal Processing, Artificial Intelligence and Information Systems, having authored 150 papers that have together received 3.0k indexed citations. Recurring topics across this work include Video Analysis and Summarization (30 papers), Advanced Image and Video Retrieval Techniques (30 papers), Image Retrieval and Classification Techniques (26 papers), Recommender Systems and Techniques (24 papers), Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers), Music and Audio Processing (17 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Information Systems (1.5k citations), Computer Vision and Pattern Recognition (963 citations), Artificial Intelligence (1.1k citations), Transportation (221 citations) and Signal Processing (316 citations). Martha Larson has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Alan Hanjalić, Yue Shi, Alexandros Karatzoglou, Stevan Rudinac, Linas Baltrunas, Babak Loni, Gareth J. F. Jones, Nuria Oliver, Roberto Pagano and Pavel Serdyukov. Their work appears in journals such as Journal of Veterinary Internal Medicine, IEEE Transactions on Multimedia, Veterinary Radiology & Ultrasound, Journal of Thoracic Oncology and ACM SIGIR Forum.

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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