S. H. Abidi

32.5k total citations
9 papers, 67 citations indexed

About

S. H. Abidi is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Radiation. According to data from OpenAlex, S. H. Abidi has authored 9 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiation. Recurrent topics in S. H. Abidi's work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). S. H. Abidi is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). S. H. Abidi collaborates with scholars based in Canada, France and United Kingdom. S. H. Abidi's co-authors include Nils Julius Abicht, A. Abed Abud, Robert Laxdal, F. Canelli, B. Abeloos, S. Adorni, K. Abeling, O. Abdinov, O. S. AbouZeid and J. Adelman and has published in prestigious journals such as Physics Reports, Neurocomputing and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).

In The Last Decade

S. H. Abidi

6 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. H. Abidi Canada	4	62	8	4	2	2	9	67
S. Abdel Khalek Canada	4	65 1.0×	9 1.1×	3 0.8×	2 1.0×	1 0.5×	7	69
Jean‐Loup Tastet Spain	5	66 1.1×	11 1.4×	5 1.3×	1 0.5×	3 1.5×	7	76
S. Adomeit Canada	3	48 0.8×	12 1.5×	4 1.0×	2 1.0×		3	48
J. K. K. Liu United Kingdom	4	52 0.8×	5 0.6×	4 1.0×		3 1.5×	9	59
M. Chrząszcz Poland	4	98 1.6×	11 1.4×	5 1.3×	1 0.5×	2 1.0×	8	98
D. E. Ferreira de Lima Germany	3	64 1.0×	9 1.1×	5 1.3×			8	71
M. Dyndał Poland	5	82 1.3×	12 1.5×	3 0.8×		3 1.5×	11	85
J. K. Behr Germany	3	61 1.0×	9 1.1×	4 1.0×			8	62
Yang-Ting Chien United States	4	40 0.6×	5 0.6×	3 0.8×		2 1.0×	5	47
G. Perez Israel	3	70 1.1×	6 0.8×	4 1.0×			4	70

Countries citing papers authored by S. H. Abidi

Since Specialization

Citations

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

Fields of papers citing papers by S. H. Abidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. H. Abidi. 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 S. H. Abidi. The network helps show where S. H. Abidi may publish in the future.

Co-authorship network of co-authors of S. H. Abidi

This figure shows the co-authorship network connecting the top 25 collaborators of S. H. Abidi. A scholar is included among the top collaborators of S. H. Abidi 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 S. H. Abidi. S. H. Abidi 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:

9 of 9 papers shown

1.

Raza, Syed M., et al.. (2025). Lightweight deep learning for visual perception: A survey of models, compression strategies, and edge deployment challenges. Neurocomputing. 656. 131357–131357.

2.

Abidi, S. H., et al.. (2025). A Vision-Language-Driven UxV System for Safety Monitoring. 406–410. 1 indexed citations

3.

Aad, G., Erlend Aakvaag, B. Abbott, et al.. (2024). ATLAS searches for additional scalars and exotic Higgs boson decays with the LHC Run 2 dataset. Physics Reports. 1116. 184–260. 3 indexed citations

4.

Abeling, K., Nils Julius Abicht, S. H. Abidi, et al.. (2024). Combination of searches for Higgs boson decays into a photon and a massless dark photon using pp collisions at √s = 13 TeV with the ATLAS detector. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).

5.

Aad, G., B. Abbott, D. C. Abbott, et al.. (2021). White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 14 indexed citations

6.

Canelli, F., D. C. Abbott, O. Abdinov, et al.. (2019). Combinations of single-top-quark production cross-section measurements and $|f_{LV}V_{tb}|$ determinations at $\sqrt{s} =$ 7 and 8 TeV with the ATLAS and CMS experiments. Americanae (AECID Library). 7 indexed citations

7.

Aaboud, M., G. Aad, B. Abbott, et al.. (2017). Search for lepton-flavour-violating decays of the Higgs and Z bosons with the ATLAS detector. Americanae (AECID Library). 10 indexed citations

8.

Aaboud, M., G. Aad, B. Abbott, et al.. (2017). Measurement of the cross section for inclusive isolated-photon production in pp collisions at √ s = 13 TeV using the ATLAS detector. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 31 indexed citations

9.

Laxdal, Robert, et al.. (2015). Characterization of SRF Materials at the TRIUMF muSR Facility. JACOW. 205–209. 1 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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