Huma Zia

559 citations
48 papers · 359 · h-index 9

Impact in

Papers in

Huma Zia

40 papers receiving 343 citations

Peers

Huma Zia
Comparison fields: 5 of 103
  • Water Science and Technology 128
  • Environmental Engineering 82
  • Soil Science 28
  • Geology 11
  • Plant Science 71
Replace Javier Rocher with:
Javier Rocher Spain
Abraham Efraím Rodriguez-Mata Mexico
Tarun Kumar Lohani Ethiopia
R. Sivakumar India
Juan Xiao China
Saroj Ahirwar India
Calvin B. Sawyer United States
Yunseop Kim United States
Brandon Wong United States
Yukinobu Hoshino Japan
Huma Zia relative to Javier Rocher Spain Javier Rocher's profile →
Citations per field
00.5×10×14×
Javier Rocher · 1×
Citations per year

Countries citing papers authored by Huma Zia

Since Specialization
Citations

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

Fields of papers citing papers by Huma Zia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 202133
3 202227
4 201524
5 201519
6 202413
7
Water quality monitoring, control and management (WQMCM) framework using collaborative wireless sensor networks
201413
8 202211
9 20238
10 20247
11 20237
12 20227
13
Empirical modeling and simulation for discharge dynamics enabling catchment-scale water quality management
20146
14 20196
15 20195
16 20235
17 20225
18 20224
19 20204
20 20224

About Huma Zia

Huma Zia is a scholar working on Computer Vision and Pattern Recognition, Water Science and Technology, Environmental Engineering, Automotive Engineering and Computer Networks and Communications, having authored 48 papers that have together received 359 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (10 papers), Hydrological Forecasting Using AI (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (5 papers), Hydrology and Watershed Management Studies (4 papers), Fish Ecology and Management Studies (4 papers), IoT and Edge/Fog Computing (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Water Science and Technology (128 citations), Environmental Engineering (82 citations), Soil Science (28 citations), Geology (11 citations) and Plant Science (71 citations). Huma Zia has collaborated with scholars based in United Arab Emirates, United Kingdom and Pakistan. Frequent co-authors include Nick Harris, Geoff V. Merrett, Neil Coles, Muhammad Khurram, Mohammed Ghazal, Jawad Yousaf, Marah Alhalabi, Mohammad Alkhedher, Salam Abdallah and Ashraf Khalil. Their work appears in journals such as Computers and Electronics in Agriculture, Engineering Applications of Artificial Intelligence, Scientific Reports, Array and Foods.

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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