Mina Labib

500 citations
15 papers · 402 · h-index 8

Impact in

Papers in

Mina Labib

14 papers receiving 386 citations

Peers

Mina Labib
Comparison fields: 5 of 33
  • Computer Networks and Communications 197
  • Aerospace Engineering 127
  • Electrical and Electronic Engineering 262
  • Signal Processing 41
  • Artificial Intelligence 98
Replace Arupjyoti Bhuyan with:
Arupjyoti Bhuyan United States
Xiazhi Lai China
Dinko Begušić Croatia
Xinsheng Ji China
Yingtao Niu China
Pengwenlong Gu China
Akshay Gadre United States
N.J. Davis United States
Qiao Qi China
Ernest Kurniawan Singapore
Mina Labib relative to Arupjyoti Bhuyan United States Arupjyoti Bhuyan's profile →
Citations per field
00.5×2×3×3.8×
Arupjyoti Bhuyan · 1×
Citations per year

Countries citing papers authored by Mina Labib

Since Specialization
Citations

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

Fields of papers citing papers by Mina Labib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Mina Labib, 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 Mina Labib Line = papers co-authored together Mina Labib links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2016151
2 201756
3 201542
4 201531
5 201629
6 201726
7 201623
8 201912
9 20148
10 20168
11 20196
12 20186
13 20173
14 20251
15 20260

About Mina Labib

Mina Labib is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (3 papers), Radar Systems and Signal Processing (3 papers), Advanced MIMO Systems Optimization (3 papers), Photonic and Optical Devices (3 papers), Security in Wireless Sensor Networks (2 papers), Advanced Fiber Optic Sensors (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (197 citations), Aerospace Engineering (127 citations), Electrical and Electronic Engineering (262 citations), Signal Processing (41 citations) and Artificial Intelligence (98 citations). Mina Labib has collaborated with scholars based in United States and Egypt. Frequent co-authors include Jeffrey H. Reed, Vuk Marojevic, Amir I. Zaghloul, Marc Lichtman, Roger Piqueras Jover, Anthony F. Martone, Walid Saad, Yasser M. Sabry and Diaa A. M. Khalil. Their work appears in journals such as IEEE Communications Magazine, IEEE Access, IEEE Communications Standards Magazine, Silicon and 2015 IEEE Global Communications Conference (GLOBECOM).

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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