Farshid Arman

896 citations
17 papers · 716 · h-index 8

Impact in

    • Video Analysis and Summarization
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Vision and Imaging
    • Video Coding and Compression Technologies
    • Music and Audio Processing

Papers in

    • Advanced Image and Video Retrieval Techniques 7
    • Advanced Vision and Imaging 6
    • Image Retrieval and Classification Techniques 4
    • Advanced Data Compression Techniques 3
    • Image and Object Detection Techniques 3
    • Video Analysis and Summarization 2
    • Robotics and Sensor-Based Localization 6

Farshid Arman

16 papers receiving 661 citations

Peers

Farshid Arman
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 656
  • Signal Processing 216
  • Geology 31
  • Aerospace Engineering 116
  • Computer Graphics and Computer-Aided Design 13
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Countries citing papers authored by Farshid Arman

Since Specialization
Citations

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

Fields of papers citing papers by Farshid Arman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Farshid Arman, 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 Farshid Arman Line = papers co-authored together Farshid Arman links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1993174
2 1993165
3 1994163
4 199368
5 199458
6 199326
7 199319
8 199018
9 19906
10 20025
11 20025
12
A mechanically derived systolic implementation of pyramid initialization
19903
13 19943
14 20021
15 19881
16
Cad-based object recognition in three-dimensional range images using pre-compiled recognition strategy programs
19921
17 20030

About Farshid Arman

Farshid Arman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Biophysics and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 716 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Data Compression Techniques (3 papers), Image and Object Detection Techniques (3 papers), Video Analysis and Summarization (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (656 citations), Signal Processing (216 citations), Geology (31 citations), Aerospace Engineering (116 citations) and Computer Graphics and Computer-Aided Design (13 citations). Farshid Arman has collaborated with scholars based in United States. Frequent co-authors include Ming‐Yee Chiu, J.K. Aggarwal, Arding Hsu, A. Hsu, Bikash Sabata, J. K. Aggarwal, John A. Pearce and Christian Lengauer. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Multimedia Systems, Journal of Mathematical Imaging and Vision, ACM Computing Surveys and Lecture notes in computer science.

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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