Roger Zimmermann

13.9k total citations · 4 hit papers
376 papers, 6.6k citations indexed

About

Roger Zimmermann is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Roger Zimmermann has authored 376 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 186 papers in Computer Vision and Pattern Recognition, 116 papers in Computer Networks and Communications and 113 papers in Signal Processing. Recurrent topics in Roger Zimmermann's work include Advanced Image and Video Retrieval Techniques (66 papers), Image and Video Quality Assessment (60 papers) and Video Analysis and Summarization (56 papers). Roger Zimmermann is often cited by papers focused on Advanced Image and Video Retrieval Techniques (66 papers), Image and Video Quality Assessment (60 papers) and Video Analysis and Summarization (56 papers). Roger Zimmermann collaborates with scholars based in Singapore, United States and China. Roger Zimmermann's co-authors include Devamanyu Hazarika, Soujanya Poria, Abdelhak Bentaleb, Ali C. Begen, Rajiv Ratn Shah, Erik Cambria, Yifang Yin, Wei‐Shinn Ku, Christian Timmerer and Zhenguang Liu and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Roger Zimmermann

348 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MISA

2020 490 citations Devamanyu Hazarika, Roger Zimmermann et al. profile →
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP

2018 304 citations Roger Zimmermann et al. profile →
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

2018 294 citations Devamanyu Hazarika, Soujanya Poria et al. profile →
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

2018 281 citations Devamanyu Hazarika, Soujanya Poria et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roger Zimmermann Singapore	39	2.8k	1.9k	1.7k	1.4k	703	376	6.6k
Nicholas D. Lane United Kingdom	46	4.1k 1.5×	2.1k 1.1×	961 0.5×	3.0k 2.1×	739 1.1×	158	11.1k
Antonio Liotta Netherlands	32	1.6k 0.6×	884 0.5×	447 0.3×	1.6k 1.1×	215 0.3×	231	4.9k
Lina Yao Australia	46	2.0k 0.7×	3.0k 1.6×	688 0.4×	1.3k 0.9×	191 0.3×	309	7.8k
Mohan Kankanhalli Singapore	49	6.3k 2.3×	2.7k 1.4×	1.4k 0.8×	592 0.4×	249 0.4×	405	10.1k
Pan Zhou China	47	3.5k 1.3×	2.6k 1.4×	430 0.2×	2.6k 1.8×	156 0.2×	337	9.6k
K. P. Soman India	37	1.4k 0.5×	3.3k 1.8×	2.1k 1.2×	2.5k 1.7×	123 0.2×	456	8.3k
Ben Kröse Netherlands	41	3.1k 1.1×	2.3k 1.2×	393 0.2×	610 0.4×	212 0.3×	228	7.0k
Yang Yang China	53	7.4k 2.7×	4.3k 2.3×	576 0.3×	851 0.6×	262 0.4×	499	10.9k
Bo Xu China	35	951 0.3×	4.4k 2.3×	1.3k 0.7×	428 0.3×	211 0.3×	293	6.7k
Ling Guan Canada	33	2.1k 0.8×	987 0.5×	688 0.4×	424 0.3×	552 0.8×	334	4.9k

Countries citing papers authored by Roger Zimmermann

Since Specialization

Citations

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

Fields of papers citing papers by Roger Zimmermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Zimmermann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Griwodz, Carsten, Mea Wang, & Roger Zimmermann. (2025). Introduction to the Special Issue on MMSys 2023 and NOSSDAV 2023. ACM Transactions on Multimedia Computing Communications and Applications. 21(9). 1–4.

Ji, Wei, et al.. (2025). HOVER: Hyperbolic Video-Text Retrieval. IEEE Transactions on Image Processing. 34. 6192–6203.

Li, Li, Wei Ji, Yiming Wu, et al.. (2024). Panoptic Scene Graph Generation with Semantics-Prototype Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3145–3153. 9 indexed citations

Ma, Yunshan, et al.. (2024). CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. 9641–9649. 1 indexed citations

Li, Mengze, Wei Ji, Jingyuan Chen, et al.. (2024). Hierarchical Debiasing and Noisy Correction for Cross-domain Video Tube Retrieval. 9271–9280. 2 indexed citations

Chen, Yi‐Chung, et al.. (2024). Universal Transfer Framework for Urban Spatiotemporal Knowledge Based on Radial Basis Function. IEEE Transactions on Artificial Intelligence. 5(9). 4458–4469. 1 indexed citations

Wen, Haomin, Youfang Lin, Lixia Wu, et al.. (2024). A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7516–7535. 3 indexed citations

Chen, Long, et al.. (2024). In Defense of Clip-Based Video Relation Detection. IEEE Transactions on Image Processing. 33. 2759–2769. 1 indexed citations

Wang, Kun, Wenjie Du, Yifan Duan, et al.. (2024). On Regularization for Explaining Graph Neural Networks: An Information Theory Perspective. IEEE Transactions on Knowledge and Data Engineering. 1–14. 5 indexed citations

10.

Xie, Yuan, Fan Wu, Xu Zhou, et al.. (2024). Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing (Extended Abstract). 5745–5746. 1 indexed citations

11.

Liu, Zhenguang, et al.. (2023). Special issue on human-centric intelligent multimedia understanding. Multimedia Systems. 29(2). 457–458. 1 indexed citations

12.

Wang, Kun, Yuxuan Liang, Xinglin Li, et al.. (2023). Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3388–3405. 11 indexed citations

13.

Wen, Haomin, Youfang Lin, Huaiyu Wan, et al.. (2023). DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–12. 50 indexed citations

14.

Wu, Fan, Xu Zhou, Yifang Yin, et al.. (2023). Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering. 36(11). 7201–7216. 1 indexed citations

15.

Yin, Yifang, Ying Zhang, Guanfeng Wang, et al.. (2023). Multimodal Deep Learning for Robust Road Attribute Detection. ACM Transactions on Spatial Algorithms and Systems. 9(4). 1–25. 3 indexed citations

16.

Yin, Yifang, et al.. (2023). GAN-Assisted Road Segmentation from Satellite Imagery. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–29. 4 indexed citations

17.

Liang, Yuxuan, Kun Ouyang, Yiwei Wang, et al.. (2022). Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9254–9268. 21 indexed citations

18.

Hazarika, Devamanyu, et al.. (2020). Multimodal Research in Vision and Language: A Review of Current and\n Emerging Trends. arXiv (Cornell University). 1 indexed citations

19.

Hazarika, Devamanyu, et al.. (2018). Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. 266–270. 63 indexed citations

20.

Chiew, Kevin, et al.. (2018). Rare category exploration with noisy labels. Expert Systems with Applications. 114. 503–515. 1 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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