Nacim Ihaddadene

578 citations
9 papers · 197 indexed · h-index 5
Topics
Video Surveillance and Tracking Methods (4 papers)Anomaly Detection Techniques and Applications (4 papers)Gaze Tracking and Assistive Technology (2 papers)
Partner nations
FranceUnited States

In The Last Decade

Nacim Ihaddadene

9 papers receiving 186 citations

Peers

Nacim Ihaddadene
Comparison fields: 5 of 39
  • Computer Vision and Pattern Recognition 179
  • Artificial Intelligence 141
  • Computer Networks and Communications 27
  • Ocean Engineering 25
  • Signal Processing 16
Replace Yicong Tian with:
Yicong Tian United States
Vikas Reddy Australia
Sadegh Mohammadi Iran
Emrah Başaran Türkiye
Romaric Audigier France
Khurram Soomro United States
Zhongwei Cheng China
Haoxin Chen China
Ahmed Abdelkhalek United States
Nacim Ihaddadene relative to Yicong Tian United States Yicong Tian's profile →
Citations per field
00.5×5.4×
Yicong Tian · 1×
Citations per year

Countries citing papers authored by Nacim Ihaddadene

Since Specialization
Citations

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

Fields of papers citing papers by Nacim Ihaddadene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nacim Ihaddadene

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 5
2 65
3 4
4 9
5 1
6
Abnormal Event Detection in Real Time Video
2
7 106
8 1
9 4

About Nacim Ihaddadene

Nacim Ihaddadene is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Sensory Systems, having authored 9 papers that have together received 197 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (179 citations), Artificial Intelligence (141 citations) and Ocean Engineering (25 citations). Nacim Ihaddadene has collaborated with scholars based in France and United States. Frequent co-authors include Chabane Djeraba, Chaabane Djéraba, Md. Haidar Sharif, Chabane Djeraba, Sidi Ahmed Mahmoudi, Ioan Marius Bilasco, Dan A. Simovici and Jean Martinet. Their work appears in journals such as Multimedia Tools and Applications, EURASIP Journal on Image and Video Processing and Journal of Multimedia.

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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