Martha Larson

6.1k citations
151 papers · 3.1k · 1 hit paper · h-index 29

Impact in

Papers in

Martha Larson

144 papers receiving 2.9k citations

Martha Larson's Hit Papers

Collaborative Filtering beyond the User-Item Matrix 2014 · 571 citations
5710+4+8Years since publication100200300400500

Peers

Martha Larson
Comparison fields: 5 of 156
  • Information Systems 1.5k
  • Computer Vision and Pattern Recognition 983
  • Artificial Intelligence 1.2k
  • Transportation 221
  • Signal Processing 324
Replace Jing Yuan with:
Jing Yuan China
Bee-Chung Chen United States
Amr Ahmed United States
Sang‐Wook Kim South Korea
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Zhiting Hu United States
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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-authors

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

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Collaborative Filtering beyond the User-Item Matrix
Hit paper breakdown →
2014571
2 2012201
3 2010172
4 2016109
5 201175
6 201573
7 201066
8 201164
9 201358
10 201156
11
Using Coherence-based Measures to Predict Query Difficulty
200849
12 200847
13 201243
14 200941
15 201640
16 200538
17
Spoken content retrieval: A survey of techniques and technologies
201237
18 201236
19 201236
20 200935

About Martha Larson

Martha Larson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Computer Science Applications, having authored 151 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (30 papers), Video Analysis and Summarization (30 papers), Image Retrieval and Classification Techniques (26 papers), Recommender Systems and Techniques (24 papers), Topic Modeling (18 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 (983 citations), Artificial Intelligence (1.2k citations), Transportation (221 citations) and Signal Processing (324 citations). Martha Larson has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Alan Hanjalić, Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Stevan Rudinac, Babak Loni, Maarten de Rijke, Nuria Oliver, Gareth J. F. Jones and Roberto Pagano. Their work appears in journals such as Journal of Veterinary Internal Medicine, Veterinary Radiology & Ultrasound, IEEE Transactions on Multimedia, Veterinary Clinics of North America Small Animal Practice and ACM Transactions on Intelligent Systems and Technology.

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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