Ameesh Makadia

2.8k citations
37 papers · 1.1k · h-index 17

Impact in

Papers in

    • Advanced Vision and Imaging 17
    • Medical Image Segmentation Techniques 8
    • Advanced Image and Video Retrieval Techniques 8
    • Advanced Neural Network Applications 5
    • Image and Object Detection Techniques 5
    • Robotics and Sensor-Based Localization 13

Ameesh Makadia

37 papers receiving 1.0k citations

Peers

Ameesh Makadia
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 144
  • Computer Vision and Pattern Recognition 825
  • Geology 168
  • Aerospace Engineering 395
  • Computational Mechanics 206
Replace Tianwei Shen with:
Tianwei Shen Hong Kong
Yueqi Duan China
Venu Madhav Govindu India
Yi Wei China
Kwang Moo Yi Canada
Hossam Isack Canada
Jiahao Pang Hong Kong
J. Oliensis United States
Zhengqin Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Ameesh Makadia

Since Specialization
Citations

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

Fields of papers citing papers by Ameesh Makadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006215
2 2010133
3 202269
4 200666
5 202165
6 201962
7 200360
8
Label Partitioning For Sublinear Ranking
201346
9 200343
10 200942
11 200733
12 202129
13 200528
14 200427
15 202124
16 200924
17 202119
18 201716
19 202316
20
Correspondenceless Structure from Motion
20079

About Ameesh Makadia

Ameesh Makadia is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Robotics and Sensor-Based Localization (13 papers), 3D Shape Modeling and Analysis (9 papers), Medical Image Segmentation Techniques (8 papers), Computer Graphics and Visualization Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Advanced Neural Network Applications (5 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (144 citations), Computer Vision and Pattern Recognition (825 citations), Geology (168 citations), Aerospace Engineering (395 citations) and Computational Mechanics (206 citations). Ameesh Makadia has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kostas Daniilidis, Vladimir Pavlović, Sanjiv Kumar, Carlos Esteves, Noah Snavely, Christopher Geyer, Thomas Bülow, Angjoo Kanazawa, Leonid Sigal and Christine Allen-Blanchette. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.

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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