Ebad Banissi

424 total citations
31 papers, 117 citations indexed

About

Ebad Banissi is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Ebad Banissi has authored 31 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Ebad Banissi's work include Data Visualization and Analytics (15 papers), Multimedia Communication and Technology (6 papers) and Video Analysis and Summarization (3 papers). Ebad Banissi is often cited by papers focused on Data Visualization and Analytics (15 papers), Multimedia Communication and Technology (6 papers) and Video Analysis and Summarization (3 papers). Ebad Banissi collaborates with scholars based in United Kingdom, Sweden and Italy. Ebad Banissi's co-authors include Francis T. Marchese, Farzad Khosrowshahi, Daqing Chen, Mikael Jern, Jianhua Huang, Christos Chrysoulas, Camilla Forsell, Remo Burkhard, Rita Francese and Muhammad Sarfraz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Computer Graphics and Applications and Multimedia Tools and Applications.

In The Last Decade

Ebad Banissi

27 papers receiving 108 citations

Peers

Ebad Banissi
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 59
  • Artificial Intelligence 25
  • Sociology and Political Science 18
  • Geography, Planning and Development 18
  • Signal Processing 15
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Citations per field, relative to Ebad Banissi
Ebad Banissi · 1×
Citations per year, relative to Ebad Banissi
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Countries citing papers authored by Ebad Banissi

Since Specialization
Citations

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

Fields of papers citing papers by Ebad Banissi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ebad Banissi

This figure shows the co-authorship network connecting the top 25 collaborators of Ebad Banissi. A scholar is included among the top collaborators of Ebad Banissi 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 Ebad Banissi. Ebad Banissi 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
# Work Indexed citations
1 3
2 4
3 5
4 8
5
Proceedings of the 20th International Conference on Information Visualisation
6
6
QL-282 - Emerging Medical Sensory Technology
1
7 2
8 12
9
Typographic sets: Labeled set elements with font attributes
5
10 4
11 7
12 8
13 0
14
Information Visualization IV 2009
2
15 2
16 7
17 1
18 3
19 1
20 1

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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