Moin Uddin

680 citations
71 papers · 469 · h-index 12

Impact in

Papers in

Moin Uddin

65 papers receiving 415 citations

Peers

Moin Uddin
Comparison fields: 5 of 76
  • Computer Networks and Communications 157
  • Software 21
  • Aerospace Engineering 82
  • Electrical and Electronic Engineering 176
  • Computer Vision and Pattern Recognition 56
Replace Jesús Barba with:
Jesús Barba Spain
Aitzol Zuloaga Spain
H. S. Jamadagni India
Rahul Razdan United States
Alessandro Capotondi Italy
Ningxin Zheng China
Omar Reyad Egypt
Ziyi Zhang China
Chao Zhu China
Maciej Nikodem Poland
Moin Uddin relative to Jesús Barba Spain Jesús Barba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Moin Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Moin Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moin Uddin, 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 Moin Uddin Line = papers co-authored together Moin Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201338
3 201418
4 201118
5 200818
6 201217
7 202116
8 201215
9 201013
10 202013
11 201312
12 201012
13
Grey Relational Effort Analysis Technique Using Regression Methods for Software Estimation
201411
14 201511
15 20129
16 20109
17 20109
18
Performance Analysis of a Cost Effective 4-Switch 3-Phase Inverter Fed IM Drive
20068
19 20178
20 20107

About Moin Uddin

Moin Uddin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 469 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (16 papers), Wireless Communication Networks Research (15 papers), Advanced MIMO Systems Optimization (6 papers), Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (6 papers), Antenna Design and Analysis (5 papers), Advanced Wireless Communication Techniques (5 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (157 citations), Software (21 citations), Aerospace Engineering (82 citations), Electrical and Electronic Engineering (176 citations) and Computer Vision and Pattern Recognition (56 citations). Moin Uddin has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Roop Pahuja, Harish Verma, Dilbag Singh, K. S. Nagla, Arvinder Kaur, Асок Де, Taimoor Khan, Arun Khosla, Maninder Kaur and Harsh Kumar Verma. Their work appears in journals such as IEEE Antennas and Wireless Propagation Letters, Signal Processing Image Communication, Journal of Communications and Networks, International Journal of Advancements in Computing Technology and Robotics and Autonomous Systems.

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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