Steven J. Rennie

42 papers receiving 996 citations

Peers

Steven J. Rennie
Comparison fields: 5 of 68
  • Artificial Intelligence 615
  • Signal Processing 530
  • Computer Vision and Pattern Recognition 440
  • Computational Mechanics 141
  • Cognitive Neuroscience 56
Replace Hossein Mobahi with:
Hossein Mobahi United States
Jean-Louis Durrieu France
A. Navia-Vázquez Spain
Dimitri Kanevsky United States
Syed Zubair Pakistan
Rhee Man Kil South Korea
A.N. Venetsanopoulos Canada
Jan Skoglund United States
Fanlong Zhang China
Steven J. Rennie relative to Hossein Mobahi United States Hossein Mobahi's profile →
Citations per field
00.5×4.4×
Hossein Mobahi · 1×
Citations per year

Countries citing papers authored by Steven J. Rennie

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Rennie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Rennie. 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 Steven J. Rennie. The network helps show where Steven J. Rennie may publish in the future.

Co-authorship network of co-authors of Steven J. Rennie

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2
The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback.
17
3 263
4
Dialog-based Interactive Image Retrieval
23
5 15
6 1
7 3
8 1
9
Newton-Like Methods for Sparse Inverse Covariance Estimation
57
10 2
11 4
12 6
13
A Power Mean Based Algorithm for Combining Multiple Alignment Tables
1
14 8
15 124
16 102
17 16
18 2
19
The Iroquois Model: Using Temporal Dynamics to Separate Speakers
7
20
Variational Speech Separation of More Sources than Mixtures.
4

About Steven J. Rennie

Steven J. Rennie is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (29 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (530 citations), Computer Vision and Pattern Recognition (440 citations) and Artificial Intelligence (615 citations). Steven J. Rennie has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John R. Hershey, Peder A. Olsen, Rogério Feris, Kristen Grauman, Martin Cooke, Zuxuan Wu, Abhishek Kumar, Tushar Nagarajan, Larry S. Davis and Trausti Kristjansson. Their work appears in journals such as IEEE Signal Processing Magazine, IBM Journal of Research and Development and IEEE Transactions on Audio Speech and Language Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026