Ali Borji

2.9k citations
14 papers · 1.6k indexed · 1 hit paper · h-index 8
Topics
Visual Attention and Saliency Detection (11 papers)Visual perception and processing mechanisms (7 papers)Gaze Tracking and Assistive Technology (6 papers)
Partner nations
United StatesIranItaly

In The Last Decade

Ali Borji

13 papers receiving 1.6k citations

Hit Papers

State-of-the-Art in Visual Attention Modeling201220262016202120124008001.2k

Peers

Ali Borji
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 1.3k
  • Cognitive Neuroscience 531
  • Human-Computer Interaction 386
  • Sensory Systems 336
  • Artificial Intelligence 89
Replace Matthew H. Tong with:
Matthew H. Tong United States
Tilke Judd United States
Lingyun Zhang China
Simone Frintrop Germany
Dicky N. Sihite United States
Olivier Le Meur France
Tie Liu China
Jonathan Harel United States
Chenlei Guo United States
Xavier Boix United States
Ali Borji relative to Matthew H. Tong United States Matthew H. Tong's profile →
Citations per field
00.5×
Matthew H. Tong · 1×
Citations per year

Countries citing papers authored by Ali Borji

Since Specialization
Citations

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

Fields of papers citing papers by Ali Borji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Borji

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 32
3 3
4 9
5 26
6 109
7 76
8 87
9
State-of-the-Art in Visual Attention Modelingbreakdown →
1220
10 2
11 1
12 2
13 0
14 42

About Ali Borji

Ali Borji is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (11 papers), Visual perception and processing mechanisms (7 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Human-Computer Interaction (386 citations), Sensory Systems (336 citations) and Computer Vision and Pattern Recognition (1.3k citations). Ali Borji has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include Laurent Itti, Dicky N. Sihite, Mehrdad Mohammadian, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Marc Pomplun and L. Itti. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Vision Research and Neurocomputing.

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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