Insaf Adjabi

683 total citations · 1 hit paper
8 papers, 449 citations indexed

About

Insaf Adjabi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Insaf Adjabi has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Surgery. Recurrent topics in Insaf Adjabi's work include Biometric Identification and Security (8 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (4 papers). Insaf Adjabi is often cited by papers focused on Biometric Identification and Security (8 papers), Face recognition and analysis (7 papers) and Face and Expression Recognition (4 papers). Insaf Adjabi collaborates with scholars based in Algeria and France. Insaf Adjabi's co-authors include Amir Benzaoui, Abdeldjalil Ouahabi, Abdelmalik Taleb‐Ahmed, Sébastien Jacques and Abdelhani Boukrouche and has published in prestigious journals such as Sensors, Optical Engineering and Electronics.

In The Last Decade

Insaf Adjabi

7 papers receiving 436 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Past, Present, and Future of Face Recognition: A Review

2020 269 citations Insaf Adjabi, Abdeldjalil Ouahabi et al. Electronics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Insaf Adjabi Algeria	5	301	145	55	44	25	8	449
Juan Tapia Germany	13	341 1.1×	270 1.9×	72 1.3×	53 1.2×	14 0.6×	57	578
Gi Pyo Nam South Korea	11	173 0.6×	130 0.9×	37 0.7×	40 0.9×	26 1.0×	27	306
Raid Rafi Omar Al-Nima Iraq	13	177 0.6×	134 0.9×	97 1.8×	36 0.8×	17 0.7×	59	468
Maneet Singh India	10	312 1.0×	196 1.4×	58 1.1×	58 1.3×	10 0.4×	26	417
Ester González-Sosa Spain	12	270 0.9×	98 0.7×	39 0.7×	27 0.6×	6 0.2×	42	388
Grigory Antipov France	4	382 1.3×	86 0.6×	105 1.9×	13 0.3×	14 0.6×	5	502
Lacey Best-Rowden United States	10	374 1.2×	284 2.0×	26 0.5×	72 1.6×	11 0.4×	11	500
Ali Abd Almisreb Malaysia	8	114 0.4×	98 0.7×	83 1.5×	43 1.0×	9 0.4×	62	330
Ana Rebelo Portugal	12	418 1.4×	369 2.5×	51 0.9×	30 0.7×	24 1.0×	25	561
Amir Benzaoui Algeria	13	558 1.9×	363 2.5×	87 1.6×	96 2.2×	30 1.2×	25	782

Countries citing papers authored by Insaf Adjabi

Since Specialization

Citations

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

Fields of papers citing papers by Insaf Adjabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Insaf Adjabi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Benzaoui, Amir, et al.. (2022). Identity Recognition based on Palmprints: The Preliminary Results. 386–390.

2.

Adjabi, Insaf. (2022). Combining hand-crafted and deep-learning features for single sample face recognition. 1–6. 3 indexed citations

3.

Benzaoui, Amir, et al.. (2022). Contactless Palmprint Recognition Using Binarized Statistical Image Features-Based Multiresolution Analysis. Sensors. 22(24). 9814–9814. 10 indexed citations

4.

Adjabi, Insaf, Abdeldjalil Ouahabi, Amir Benzaoui, & Sébastien Jacques. (2021). Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition. Sensors. 21(3). 728–728. 52 indexed citations

5.

Adjabi, Insaf, Abdeldjalil Ouahabi, Amir Benzaoui, & Abdelmalik Taleb‐Ahmed. (2020). Past, Present, and Future of Face Recognition: A Review. Electronics. 9(8). 1188–1188. 269 indexed citations breakdown →

6.

Adjabi, Insaf, Abdeldjalil Ouahabi, Amir Benzaoui, & Abdelmalik Taleb‐Ahmed. (2020). Past, Present, and Future of Face Recognition: A Review. Preprints.org. 91 indexed citations

7.

Benzaoui, Amir, Insaf Adjabi, & Abdelhani Boukrouche. (2017). Experiments and improvements of ear recognition based on local texture descriptors. Optical Engineering. 56(4). 43109–43109. 20 indexed citations

8.

Benzaoui, Amir, Insaf Adjabi, & Abdelhani Boukrouche. (2016). Person identification based on ear morphology. 1–5. 4 indexed citations

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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