Ziad Al-Halah

61 total papers · 1.4k total citations
20 papers, 549 citations indexed

About

Ziad Al-Halah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ziad Al-Halah has authored 20 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Ziad Al-Halah's work include Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ziad Al-Halah is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ziad Al-Halah collaborates with scholars based in Germany, United States and Israel. Ziad Al-Halah's co-authors include Kristen Grauman, Rainer Stiefelhagen, Santhosh Kumar Ramakrishnan, Makarand Tapaswi, Changan Chen, Hui Wu, Steven J. Rennie, Yupeng Gao, Xiaoxiao Guo and Rogério Feris and has published in prestigious journals such as Pattern Recognition Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Data Archiving and Networked Services (DANS).

In The Last Decade

Ziad Al-Halah

19 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ziad Al-Halah	453	186	55	47	35	20	549
Ben Daubney	432 1.0×	75 0.4×	59 1.1×	39 0.8×	34 1.0×	12	532
C. Mario Christoudias	390 0.9×	151 0.8×	42 0.8×	18 0.4×	17 0.5×	16	566
Pinaki Nath Chowdhury	468 1.0×	126 0.7×	9 0.2×	16 0.3×	56 1.6×	36	598
Baochang Zhang	442 1.0×	148 0.8×	30 0.5×	46 1.0×	14 0.4×	17	566
Dc Burr	321 0.7×	202 1.1×	35 0.6×	84 1.8×	34 1.0×	13	533
Dalong Du	497 1.1×	90 0.5×	67 1.2×	85 1.8×	45 1.3×	17	586
Chen-Lin Zhang	286 0.6×	258 1.4×	34 0.6×	52 1.1×	9 0.3×	20	595
Feng Wang	242 0.5×	245 1.3×	32 0.6×	32 0.7×	27 0.8×	15	504
Sheng Jin	310 0.7×	226 1.2×	40 0.7×	34 0.7×	12 0.3×	16	545
Huan Wang	305 0.7×	76 0.4×	84 1.5×	45 1.0×	30 0.9×	33	491

Countries citing papers authored by Ziad Al-Halah

Since Specialization

Citations

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

Fields of papers citing papers by Ziad Al-Halah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ziad Al-Halah. 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 Ziad Al-Halah. The network helps show where Ziad Al-Halah may publish in the future.

Co-authorship network of co-authors of Ziad Al-Halah

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

All Works

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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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