M. Kaci

47.5k citations
7 papers · 22 · h-index 3

Impact in

Papers in

M. Kaci

6 papers receiving 21 citations

Peers

M. Kaci
Comparison fields: 5 of 12
  • Computer Vision and Pattern Recognition 13
  • Media Technology 5
  • Nuclear and High Energy Physics 7
  • Computer Networks and Communications 8
  • Computer Graphics and Computer-Aided Design 1
Replace K. Unger with:
K. Unger Germany
C. Hinkelbein Germany
A. Artamonov Russia
R. Teixeira De Lima United States
S. Skambraks Germany
E. Gottschalk United States
J. Amoraal Netherlands
D. Noll Germany
M. Bachtis United States
F. Gastaldi France
M. Kaci relative to K. Unger Germany K. Unger's profile →
Citations per field
00.5×1.5×2.5×
K. Unger · 1×
Citations per year

Countries citing papers authored by M. Kaci

Since Specialization
Citations

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

Fields of papers citing papers by M. Kaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M. Kaci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Kaci Line = papers co-authored together M. Kaci links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201413
2 20084
3 20122
4
Analysis Facility infrastructure (TIER3) for ATLAS High Energy physics experiment
20071
5 20131
6 20081
7 20250

About M. Kaci

M. Kaci is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 7 papers that have together received 22 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Particle Detector Development and Performance (4 papers), Advanced Data Storage Technologies (2 papers), Scientific Computing and Data Management (2 papers), Parallel Computing and Optimization Techniques (1 paper), Polysaccharides Composition and Applications (1 paper), Image and Signal Denoising Methods (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (13 citations), Media Technology (5 citations), Nuclear and High Energy Physics (7 citations), Computer Networks and Communications (8 citations) and Computer Graphics and Computer-Aided Design (1 citation). M. Kaci has collaborated with scholars based in Spain, Morocco and Bangladesh. Frequent co-authors include Lhoussaine Masmoudi, R. Cherkaoui El Moursli, L. March, F. Fassi, J. Sánchez, E. Ros, S. González de la Hoz, J. Salt, X. Espinal Curull and Francesco Fassi. Their work appears in journals such as The European Physical Journal C, Journal of Food Processing and Preservation and Journal of Physics Conference Series.

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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