A. El-Fallah

636 citations
51 papers · 403 indexed · h-index 12

Impact in

Papers in

A. El-Fallah

50 papers receiving 366 citations

Peers

A. El-Fallah
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 128
  • Artificial Intelligence 189
  • Aerospace Engineering 122
  • Media Technology 31
  • Computer Graphics and Computer-Aided Design 12
Replace P.R. Mahapatra with:
P.R. Mahapatra India
S.P. Luttrell United Kingdom
Morteza Shahram United States
Akira Nukada Japan
Qi Yang China
Esam El‐Araby United States
K. Abend United States
Janusz S. Kulpa Poland
Pen-Shu Yeh United States
U. von Matt United States
A. El-Fallah relative to P.R. Mahapatra India P.R. Mahapatra's profile →
Citations per field
00.5×
P.R. Mahapatra · 1×
Citations per year

Countries citing papers authored by A. El-Fallah

Since Specialization
Citations

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

Fields of papers citing papers by A. El-Fallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. El-Fallah. 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 A. El-Fallah. The network helps show where A. El-Fallah may publish in the future.

Co-authors

The 20 scholars most cited alongside A. El-Fallah, 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 A. El-Fallah Line = papers co-authored together A. El-Fallah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200055
2 199736
3 201026
4 199420
5 201019
6 199716
7 199816
8 200816
9 200215
10 201213
11 200013
12 201111
13 199510
14 20128
15 19998
16 20107
17 20057
18 20017
19 20006
20 20086

About A. El-Fallah

A. El-Fallah is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Media Technology, having authored 51 papers that have together received 403 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (25 papers), Distributed Sensor Networks and Detection Algorithms (11 papers), Image and Signal Denoising Methods (11 papers), Medical Image Segmentation Techniques (7 papers), Space Satellite Systems and Control (6 papers), Infrared Target Detection Methodologies (6 papers), Advanced Image Processing Techniques (4 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (189 citations), Aerospace Engineering (122 citations), Media Technology (31 citations) and Computer Graphics and Computer-Aided Design (12 citations). A. El-Fallah has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ronald Mahler, Gary E. Ford, R.К. Mehra, B. Ravichandran, Robert E. Smith, El Hassan Saidi, A. Belhaj, Raman K. Mehra, Khanh Pham and Katherine W. Ferrara. Their work appears in journals such as Classical and Quantum Gravity, International Journal of Imaging Systems and Technology, Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Image Processing and Pattern Recognition Letters.

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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