Mohammad Rastegari

7.7k total citations · 1 hit paper
34 papers, 806 citations indexed

About

Mohammad Rastegari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Mohammad Rastegari has authored 34 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 2 papers in General Health Professions. Recurrent topics in Mohammad Rastegari's work include Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Mohammad Rastegari is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Mohammad Rastegari collaborates with scholars based in United States, Iran and United Kingdom. Mohammad Rastegari's co-authors include Ali Farhadi, Roozbeh Mottaghi, Kenneth Marino, Larry S. Davis, Jonghyun Choi, Hal Daumé, Shobeir Fakhraei, Sachin Mehta, Mehrdad Farajtabar and Alan Yuille and has published in prestigious journals such as Communications of the ACM, IEEE Computer Architecture Letters and Iranian Journal of Nursing and Midwifery Research.

In The Last Decade

Mohammad Rastegari

34 papers receiving 773 citations

Hit Papers

OK-VQA: A Visual Question Answering Benchmark Requiring E... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Rastegari United States 13 621 436 34 30 27 34 806
Syed Ali Abbas Pakistan 9 365 0.6× 208 0.5× 31 0.9× 20 0.7× 6 0.2× 28 674
Jialin Chen China 12 301 0.5× 163 0.4× 29 0.9× 11 0.4× 5 0.2× 56 512
Charith Abhayaratne United Kingdom 11 365 0.6× 57 0.1× 35 1.0× 21 0.7× 9 0.3× 69 441
Naeem Radi United Kingdom 7 180 0.3× 114 0.3× 26 0.8× 26 0.9× 4 0.1× 11 376
Jorge de la Calleja Mexico 11 107 0.2× 96 0.2× 35 1.0× 19 0.6× 6 0.2× 40 388
Waqar Ali China 12 151 0.2× 179 0.4× 10 0.3× 35 1.2× 12 0.4× 35 442
Akinori Fujino Japan 15 125 0.2× 428 1.0× 9 0.3× 46 1.5× 7 0.3× 54 634
Osama Abu-Elnasr Egypt 4 171 0.3× 91 0.2× 42 1.2× 127 4.2× 6 0.2× 7 373
Weixiang Shao United States 10 154 0.2× 242 0.6× 8 0.2× 42 1.4× 5 0.2× 15 383

Countries citing papers authored by Mohammad Rastegari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Rastegari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Rastegari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Rastegari. A scholar is included among the top collaborators of Mohammad Rastegari 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 Mohammad Rastegari. Mohammad Rastegari 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.
Wang, Haoxiang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, et al.. (2024). SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. 3635–3647. 32 indexed citations
2.
Mirzadeh, Seyed Iman, et al.. (2024). LLM in a flash: Efficient Large Language Model Inference with Limited Memory. 12562–12584. 43 indexed citations
3.
Marin, Dmitrii, et al.. (2023). Token Pooling in Vision Transformers for Image Classification. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 12–21. 20 indexed citations
4.
Mehta, Sachin, et al.. (2022). CVNets. Proceedings of the 30th ACM International Conference on Multimedia. 7327–7330. 8 indexed citations
5.
Wortsman, Mitchell, et al.. (2021). Learning Neural Network Subspaces. International Conference on Machine Learning. 11217–11227. 6 indexed citations
6.
Mehta, Sachin, Rik Koncel-Kedziorski, Mohammad Rastegari, & Hannaneh Hajishirzi. (2020). DeFINE: Deep Factorized Input Word Embeddings for Neural Sequence Modeling. arXiv (Cornell University). 4 indexed citations
7.
Rastegari, Mohammad, Vicente Ordóñez, Joseph Redmon, & Ali Farhadi. (2020). Enabling AI at the edge with XNOR-networks. Communications of the ACM. 63(12). 83–90. 7 indexed citations
8.
Wortsman, Mitchell, Ali Farhadi, & Mohammad Rastegari. (2019). Discovering Neural Wirings. arXiv (Cornell University). 32. 2680–2690. 7 indexed citations
9.
Wang, Huiyu, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, & Mohammad Rastegari. (2018). ELASTIC: Improving CNNs with Instance Specific Scaling Policies.. arXiv (Cornell University). 2 indexed citations
10.
Mehta, Sachin, Rik Koncel-Kedziorski, Mohammad Rastegari, & Hannaneh Hajishirzi. (2018). Pyramidal Recurrent Unit for Language Modeling. 4620–4630. 9 indexed citations
11.
Ashourian, Mohsen, Mohammad Rastegari, & Amirhassan Monadjemi. (2016). Navigation of a Mobile Robot Using a Virtual Potential Field and Artificial Neural Network. 5(17). 11–20. 1 indexed citations
12.
Rastegari, Mohammad, et al.. (2016). A Comparative Analysis of Facility Level and Population Distribution in Urban Network of Yazd Province. 4(15). 1–17. 1 indexed citations
13.
Rastegari, Mohammad, Hannaneh Hajishirzi, & Ali Farhadi. (2015). Discriminative and consistent similarities in instance-level Multiple Instance Learning. 740–748. 4 indexed citations
14.
Rastegari, Mohammad, Cem Keskin, Pushmeet Kohli, & Shahram Izadi. (2015). Computationally bounded retrieval. 1501–1509. 7 indexed citations
15.
Hajishirzi, Hannaneh, Mohammad Rastegari, Ali Farhadi, & Jessica K. Hodgins. (2012). Semantic Understanding of Professional Soccer Commentaries. arXiv (Cornell University). 326–335. 7 indexed citations
16.
Rastegari, Mohammad, Fang Chen, & Lorenzo Torresani. (2011). Scalable object-class retrieval with approximate and top-k ranking. 2659–2666. 13 indexed citations
17.
Rastegari, Mohammad, et al.. (2010). Leadership effectiveness among nurse managers and its relationship with extrovert/introvert personality. Iranian Journal of Nursing and Midwifery Research. 14(4). 168–173. 1 indexed citations
18.
Rastegari, Mohammad, et al.. (2010). Assessing the effect of community health nursing care management at home on war-worn soldiers' physical problems suffering from spinal cord complications (urinary infection, bedsore).. PubMed. 15(Suppl 1). 322–30. 1 indexed citations
19.
Rastegari, Mohammad, Mohammad Rouhani, Niloofar Gheissari, & Mir Mohsen Pedram. (2009). Cartoon Motion Capturing and Retargeting by Rigid Shape Manipulation. 2. 498–504. 2 indexed citations
20.
Salehi, Seyed Hamid, et al.. (2008). Identification of Nursing Management Planning Standards in Iran. Iranian Journal of Nursing and Midwifery Research. 12(3). 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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