Silèye Ba

1.9k citations
43 papers · 1.1k · h-index 18

Impact in

Papers in

Silèye Ba

41 papers receiving 1.0k citations

Peers

Silèye Ba
Comparison fields: 5 of 97
  • Human-Computer Interaction 255
  • Computer Vision and Pattern Recognition 680
  • Signal Processing 173
  • Computational Mathematics 5
  • Artificial Intelligence 270
Replace Niels da Vitoria Lobo with:
Niels da Vitoria Lobo United States
Xiaohua Zhang China
Chan-Su Lee South Korea
Bappaditya Mandal Singapore
Giuseppe Boccignone Italy
Olivier Le Meur France
Julien Fleureau France
Christoph Zetzsche Germany
Matthias Wölfel Germany
Jiabei Zeng China
Silèye Ba relative to Niels da Vitoria Lobo United States Niels da Vitoria Lobo's profile →
Citations per field
00.5×1.5×
Niels da Vitoria Lobo · 1×
Citations per year

Countries citing papers authored by Silèye Ba

Since Specialization
Citations

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

Fields of papers citing papers by Silèye Ba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008108
2 2006107
3 200885
4
Multi-Person Visual Focus of Attention from Head Pose and Meeting Contextual Cues
200883
5 201773
6 201761
7 200760
8 201759
9 201545
10 200440
11 200835
12 201334
13 200632
14 200830
15 200826
16
A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking
200521
17 200520
18 200718
19 200616
20 201015

About Silèye Ba

Silèye Ba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Gaze Tracking and Assistive Technology (10 papers), Speech and Audio Processing (10 papers), Visual Attention and Saliency Detection (8 papers), Face recognition and analysis (5 papers), Anomaly Detection Techniques and Applications (5 papers), Indoor and Outdoor Localization Technologies (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Human-Computer Interaction (255 citations), Computer Vision and Pattern Recognition (680 citations), Signal Processing (173 citations), Computational Mathematics (5 citations) and Artificial Intelligence (270 citations). Silèye Ba has collaborated with scholars based in Switzerland, France and Germany. Frequent co-authors include Jean‐Marc Odobez, Daniel Gática-Pérez, Radu Horaud, Kevin Smith, Hayley Hung, Antoine Deleforge, Dinesh Babu Jayagopi, Georgios Evangelidis, Xiaofei Li and Israel D. Gebru. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Computer Graphics Forum, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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