Umair Iqbal

458 citations
30 papers · 285 indexed · h-index 11

Umair Iqbal

26 papers receiving 273 citations

Peers

Umair Iqbal
Comparison fields: 5 of 67
  • Global and Planetary Change 132
  • Water Science and Technology 54
  • Environmental Engineering 53
  • Civil and Structural Engineering 66
  • Computer Vision and Pattern Recognition 50
Replace Yao‐Min Fang with:
Yao‐Min Fang Taiwan
Tim Braun Germany
Lea Tien Tay Malaysia
Jingxin Yu China
Ana Lúcia Bezerra Candeias Brazil
Alihan Teke Türkiye
Afzal Ahmed Pakistan
Farid Karimipour Iran
Eung Seok Kim South Korea
Umair Iqbal relative to Yao‐Min Fang Taiwan Yao‐Min Fang's profile →
Citations per field
00.5×3.3×
Yao‐Min Fang · 1×
Citations per year

Countries citing papers authored by Umair Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Umair Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20240
5 202415
6 20232
7 20239
8 20233
9 20234
10 202342
11 202311
12 20224
13 20225
14 202210
15 202125
16 202121
17
Ethnic Relations in Malaysia: Harmony and Conflict
20161
18 20161
19 20162
20 20143

About Umair Iqbal

Umair Iqbal is a scholar working on Global and Planetary Change, Civil and Structural Engineering, Ecology, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 285 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (14 papers), Hydrology and Sediment Transport Processes (10 papers), Hydraulic flow and structures (7 papers), Anomaly Detection Techniques and Applications (5 papers), Water Systems and Optimization (3 papers), Hydrology and Watershed Management Studies (3 papers), Advanced Neural Network Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Global and Planetary Change (132 citations), Water Science and Technology (54 citations), Environmental Engineering (53 citations), Civil and Structural Engineering (66 citations) and Computer Vision and Pattern Recognition (50 citations). Umair Iqbal has collaborated with scholars based in Australia, United States and Pakistan. Frequent co-authors include Pascal Perez, Johan Barthélemy, Wanqing Li, Tim Davies, Muhammad N.S. Hadi, Junaid Ahmad, Syed Irtiza Ali Shah, Muttucumaru Sivakumar, Christian Ritz and Saeed Iqbal. Their work appears in journals such as Sensors, Urban Water Journal, Water, Neural Computing and Applications and Heliyon.

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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