Shreya Ghosh

1.1k total citations
24 papers, 573 citations indexed

About

Shreya Ghosh is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Shreya Ghosh has authored 24 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Experimental and Cognitive Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Shreya Ghosh's work include Emotion and Mood Recognition (9 papers), Face recognition and analysis (4 papers) and Digital Media Forensic Detection (4 papers). Shreya Ghosh is often cited by papers focused on Emotion and Mood Recognition (9 papers), Face recognition and analysis (4 papers) and Digital Media Forensic Detection (4 papers). Shreya Ghosh collaborates with scholars based in Australia, India and United States. Shreya Ghosh's co-authors include Abhinav Dhall, Tarique Anwar, Tom Gedeon, Jyoti Joshi, Jesse Hoey, Roland Goecke, Munawar Hayat, Nicu Sebe, Kalin Stefanov and Schahram Dustdar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and IEEE Transactions on Affective Computing.

In The Last Decade

Shreya Ghosh

19 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shreya Ghosh Australia 10 230 221 148 115 96 24 573
Zsófia Ruttkay Netherlands 12 130 0.6× 122 0.6× 202 1.4× 151 1.3× 125 1.3× 49 576
Hasan Mahmud Bangladesh 13 157 0.7× 80 0.4× 162 1.1× 94 0.8× 24 0.3× 49 537
Isabelle Hupont Spain 13 280 1.2× 123 0.6× 193 1.3× 107 0.9× 25 0.3× 39 603
Oya Çeliktutan United Kingdom 15 467 2.0× 203 0.9× 206 1.4× 238 2.1× 19 0.2× 56 853
Héctor P. Martínez Malta 12 233 1.0× 250 1.1× 256 1.7× 84 0.7× 16 0.2× 29 706
Yelin Kim United States 11 203 0.9× 359 1.6× 245 1.7× 61 0.5× 20 0.2× 21 644
Değer Ayata Türkiye 8 86 0.4× 212 1.0× 117 0.8× 48 0.4× 19 0.2× 11 439
Matúš Pleva Slovakia 14 127 0.6× 72 0.3× 321 2.2× 68 0.6× 26 0.3× 92 632
Veton Këpuska United States 9 126 0.5× 63 0.3× 317 2.1× 55 0.5× 31 0.3× 32 575

Countries citing papers authored by Shreya Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Shreya Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shreya Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Shreya Ghosh. A scholar is included among the top collaborators of Shreya Ghosh 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 Shreya Ghosh. Shreya Ghosh 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
1.
Hasan, Md Rakibul, Md Zakir Hossain, Shreya Ghosh, Aneesh Krishna, & Tom Gedeon. (2025). Empathy Detection From Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods. IEEE Transactions on Affective Computing. 16(4). 2507–2525.
2.
Mallick, S.S., et al.. (2025). TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning. 17035–17064. 1 indexed citations
3.
Gupta, Parul, Shreya Ghosh, Tom Gedeon, Thanh-Toan Do, & Abhinav Dhall. (2025). Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. 13258–13265.
4.
Ghosh, Shreya, et al.. (2024). AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset. Monash University Research Portal (Monash University). 7414–7423. 12 indexed citations
5.
Dhall, Abhinav, Shreya Ghosh, Munawar Hayat, et al.. (2024). 1M-Deepfakes Detection Challenge. Monash University Research Portal (Monash University). 11355–11359. 5 indexed citations
6.
Ghosh, Shreya, et al.. (2024). MRAC Track 1: 2nd Workshop on Multimodal, Generative and Responsible Affective Computing. Monash University Research Portal (Monash University). 1–6.
7.
Ghosh, Shreya, et al.. (2023). Glitch in the matrix: A large scale benchmark for content driven audio–visual forgery detection and localization. Computer Vision and Image Understanding. 236. 103818–103818. 19 indexed citations
8.
Ghosh, Shreya, et al.. (2023). GraphITTI: Attributed Graph-based Dominance Ranking in Social Interaction Videos. 323–329. 1 indexed citations
9.
Ghosh, Shreya, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, & Qiang Ji. (2023). Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 61–84. 33 indexed citations
10.
Ghosh, Shreya, Kalin Stefanov, Abhinav Dhall, et al.. (2023). MARLIN: Masked Autoencoder for facial video Representation LearnINg. 1493–1504. 50 indexed citations
11.
Pham, Duc-Son, et al.. (2023). EfficienTransNet: An Automated Chest X-ray Report Generation Paradigm. 59–66. 2 indexed citations
12.
Ghosh, Shreya, Abhinav Dhall, Munawar Hayat, & Jarrod Knibbe. (2022). AV-GAZE: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-profilic Faces. 2022 IEEE International Conference on Image Processing (ICIP). 2921–2925. 1 indexed citations
13.
Ghosh, Shreya, et al.. (2022). Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021. IEEE Pervasive Computing. 21(2). 87–99.
14.
Ghosh, Shreya & Tarique Anwar. (2021). Depression Intensity Estimation via Social Media: A Deep Learning Approach. IEEE Transactions on Computational Social Systems. 8(6). 1465–1474. 91 indexed citations
15.
Li, Yi, Shreya Ghosh, & Jyoti Joshi. (2021). PLAAN: Pain Level Assessment with Anomaly-detection based Network. Journal on Multimodal User Interfaces. 15(4). 359–372. 6 indexed citations
16.
Ghosh, Shreya, Abhinav Dhall, Nicu Sebe, & Tom Gedeon. (2020). Automatic Prediction of Group Cohesiveness in Images. IEEE Transactions on Affective Computing. 13(3). 1677–1690. 7 indexed citations
17.
Ghosh, Shreya, Abhinav Dhall, Nicu Sebe, & Tom Gedeon. (2019). Predicting Group Cohesiveness in Images. Institutional Research Information System (Università degli Studi di Trento). 18 indexed citations
18.
Ghosh, Shreya, et al.. (2019). Automatic Group Level Affect and Cohesion Prediction in Videos. 161–167. 20 indexed citations
19.
Ghosh, Shreya, Abhinav Dhall, & Nicu Sebe. (2018). Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks. Iris (University of Trento). 1967–1971. 30 indexed citations
20.
Ghosh, Shreya, et al.. (2015). Dual Tone Multiple Frequency Based Home Automation System. International Journal of Engineering Research. 4(10). 542–544. 4 indexed citations

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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