Moin Uddin

699 citations
80 papers · 519 · h-index 12

Impact in

Papers in

Moin Uddin

72 papers receiving 471 citations

Peers

Moin Uddin
Comparison fields: 5 of 77
  • Computer Networks and Communications 167
  • Software 23
  • Aerospace Engineering 91
  • Electrical and Electronic Engineering 183
  • Computer Vision and Pattern Recognition 66
Replace Jesús Barba Romero with:
Jesús Barba Romero Spain
Jaime Jiménez Spain
R. Krishnamoorthy India
Ali Kadhum M. Al‐Qurabat Iraq
Otto W. Visser Netherlands
Amos Albert Germany
Aitzol Zuloaga Spain
Vishnu Kumar Kaliappan India
Omar Reyad Egypt
Stefan R. Panic Serbia
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Citations per field
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Jesús Barba Romero · 1×
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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201345
3 200821
4 201120
5 201420
6 202118
7 201217
8 202016
9 201015
10 201215
11 201014
12 201513
13 201312
14
Grey Relational Effort Analysis Technique Using Regression Methods for Software Estimation
201410
15 201210
16 20179
17 20109
18 20109
19
Performance Analysis of a Cost Effective 4-Switch 3-Phase Inverter Fed IM Drive
20068
20 20108

About Moin Uddin

Moin Uddin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Aerospace Engineering, having authored 80 papers that have together received 519 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (19 papers), Wireless Communication Networks Research (15 papers), Neural Networks and Applications (7 papers), Fuzzy Logic and Control Systems (7 papers), Advanced MIMO Systems Optimization (7 papers), Antenna Design and Analysis (6 papers), Cooperative Communication and Network Coding (6 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (167 citations), Software (23 citations), Aerospace Engineering (91 citations), Electrical and Electronic Engineering (183 citations) and Computer Vision and Pattern Recognition (66 citations). Moin Uddin has collaborated with scholars based in India, Pakistan and Saudi Arabia. Frequent co-authors include Roop Pahuja, Harish Verma, Dilbag Singh, Kuldeep Singh Nagla, Taimoor Khan, Arvinder Kaur, Асок Де, Arun Khosla, Harsh Kumar Verma and Maninder Kaur. Their work appears in journals such as IEEE Pervasive Computing, Optik, IEEE Antennas and Wireless Propagation Letters, International Journal of Advancements in Computing Technology and Optics Communications.

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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