Andrei Barbu

862 total citations
22 papers, 376 citations indexed

About

Andrei Barbu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Andrei Barbu has authored 22 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Andrei Barbu's work include Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Andrei Barbu is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Natural Language Processing Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Andrei Barbu collaborates with scholars based in United States, Switzerland and Italy. Andrei Barbu's co-authors include Boris Katz, N. Siddharth, Jeffrey Mark Siskind, Haonan Yu, Christopher Wang, William Luo, Joshua B. Tenenbaum, Sven Dickinson, Song Wang and Yuewei Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Journal of Artificial Intelligence Research.

In The Last Decade

Andrei Barbu

19 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrei Barbu United States	9	267	263	27	24	14	22	376
Junnan Li Singapore	10	367 1.4×	194 0.7×	8 0.3×	18 0.8×	5 0.4×	18	462
Toby Perrett United Kingdom	7	306 1.1×	163 0.6×	36 1.3×	24 1.0×	7 0.5×	15	368
N. Siddharth United Kingdom	9	269 1.0×	212 0.8×	23 0.9×	15 0.6×	5 0.4×	22	334
Zuhe Li China	10	137 0.5×	243 0.9×	14 0.5×	15 0.6×	7 0.5×	51	405
Michael Wray United Kingdom	5	351 1.3×	181 0.7×	26 1.0×	23 1.0×	6 0.4×	11	416
Zhangzhang Si United States	9	348 1.3×	149 0.6×	10 0.4×	12 0.5×	12 0.9×	15	416
Hao Shao China	9	122 0.5×	83 0.3×	29 1.1×	11 0.5×	9 0.6×	24	236
Ruben Villegas United States	6	212 0.8×	98 0.4×	15 0.6×	49 2.0×	12 0.9×	6	301
Yuying Ge China	7	446 1.7×	103 0.4×	40 1.5×	20 0.8×	20 1.4×	11	538
Nakul Gopalan United States	11	148 0.6×	241 0.9×	15 0.6×	113 4.7×	12 0.9×	23	381

Countries citing papers authored by Andrei Barbu

Since Specialization

Citations

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

Fields of papers citing papers by Andrei Barbu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Barbu

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Barbu. A scholar is included among the top collaborators of Andrei Barbu 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 Andrei Barbu. Andrei Barbu 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

Shu, Tianmin, et al.. (2023). Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 94–101.

Gori, Monica, Martin Schrimpf, Giulia Cappagli, et al.. (2023). Modeling Visual Impairments with Artificial Neural Networks: a Review. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1979–1991. 1 indexed citations

Hu, Henry, et al.. (2022). The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank. 9531–9539. 1 indexed citations

Huang, Xin, Andrei Barbu, Stephen G. McGill, et al.. (2022). Trajectory Prediction with Linguistic Representations. 2022 International Conference on Robotics and Automation (ICRA). 2868–2875. 9 indexed citations

Shu, Tianmin, et al.. (2022). Incorporating Rich Social Interactions Into MDPs. 2022 International Conference on Robotics and Automation (ICRA). 7395–7401. 3 indexed citations

Shu, Tianmin, et al.. (2021). Social Interactions as Recursive MDPs. DSpace@MIT (Massachusetts Institute of Technology). 5 indexed citations

Barbu, Andrei, et al.. (2021). A CASE STUDY ON MIGRATING THE LAB ACTIVITIES ONLINE - STUDENTS' AND PROFESSORS' PERSPECTIVES. eLearning and Software for Education. 2. 341–348.

Sherman, Maxwell A., et al.. (2021). Multi-resolution modeling of a discrete stochastic process identifies causes of cancer. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

Rouditchenko, Andrew, et al.. (2021). Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset. 3650–3654. 2 indexed citations

10.

Katz, Boris, et al.. (2020). Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. 5604–5610. 6 indexed citations

11.

Barbu, Andrei, et al.. (2019). ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. DSpace@MIT (Massachusetts Institute of Technology). 32. 9448–9458. 116 indexed citations

12.

Barbu, Andrei, et al.. (2019). Deep video-to-video transformations for accessibility with an application to photosensitivity. Pattern Recognition Letters. 137. 99–107. 9 indexed citations

13.

Ross, Candace, et al.. (2018). Grounding language acquisition by training semantic parsers using captioned videos. 2647–2656. 7 indexed citations

14.

Barbu, Andrei, et al.. (2018). Deep Sequential Models for Sampling-Based Planning. 6490–6497. 12 indexed citations

15.

Huang, Yan, et al.. (2016). Anchoring and Agreement in Syntactic Annotations. 17 indexed citations

16.

Yu, Haonan, N. Siddharth, Andrei Barbu, & Jeffrey Mark Siskind. (2015). A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video. Journal of Artificial Intelligence Research. 52. 601–713. 19 indexed citations

17.

Barbu, Andrei, N. Siddharth, Haonan Yu, et al.. (2013). Recognize Human Activities from Partially Observed Videos. 2658–2665. 125 indexed citations

18.

Siddharth, N., Andrei Barbu, & Jeffrey Mark Siskind. (2012). Seeing Unseeability to See the Unseeable. 2. 77–94. 1 indexed citations

19.

Siddharth, N., Andrei Barbu, & Jeffrey Mark Siskind. (2011). A visual language model for estimating object pose and structure in a generative visual domain. 1. 4854–4860. 3 indexed citations

20.

Barbu, Andrei, N. Siddharth, & Jeffrey Mark Siskind. (2010). Learning physically-instantiated game play through visual observation. 3. 1879–1886. 16 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.

Explore authors with similar magnitude of impact