Saif Said

586 citations
24 papers · 425 · h-index 11

Impact in

Papers in

Saif Said

19 papers receiving 417 citations

Peers

Saif Said
Comparison fields: 5 of 72
  • Environmental Engineering 176
  • Water Science and Technology 122
  • Global and Planetary Change 131
  • Atmospheric Science 65
  • Management, Monitoring, Policy and Law 40
Replace Fang Yin with:
Fang Yin China
Ara Toomanian Iran
Afshin Ashrafzadeh Iran
Bilel Zeroualı Algeria
K. Ibrahim‐Bathis India
Yousry Mahmoud Ghazaw Saudi Arabia
Aftab Ahmed Khan Pakistan
Muhammad Imran Azam Pakistan
James Phillip King United States
Baolin Li China
Saif Said relative to Fang Yin China Fang Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saif Said

Since Specialization
Citations

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

Fields of papers citing papers by Saif Said

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Saif Said, 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 Saif Said Line = papers co-authored together Saif Said links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022108
2 202089
3 201934
4 200829
5 201825
6 202021
7 202121
8 201221
9 201918
10 200415
11 200910
12 20179
13 20229
14 20226
15 20223
16 20183
17 20242
18
Land use Mapping of Yamuna river Flood Plain in Delhi using K-Mean and spectral angle image classification algorithms
20191
19 20171
20 20240

About Saif Said

Saif Said is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Artificial Intelligence and Atmospheric Science, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (5 papers), Precipitation Measurement and Analysis (5 papers), Soil Moisture and Remote Sensing (5 papers), Hydrology and Watershed Management Studies (5 papers), Groundwater and Watershed Analysis (4 papers), Water Quality and Pollution Assessment (4 papers), Remote-Sensing Image Classification (4 papers) and Soil erosion and sediment transport (3 papers). The work is most often cited by research in Environmental Engineering (176 citations), Water Science and Technology (122 citations), Global and Planetary Change (131 citations), Atmospheric Science (65 citations) and Management, Monitoring, Policy and Law (40 citations). Saif Said has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include Shamshad Ahmad, Dhruvesh Patel, Azazkhan Ibrahimkhan Pathan, Prasit Girish Agnihotri, U. C. Kothyari, Manoj K. Arora, Athar Hussain, Shadab Ali Khan, M. Danish Shakeel and Sylvia Haider. Their work appears in journals such as Hydrological Sciences Journal, Natural Resources Research, Journal of Hydrologic Engineering, Physical Geography and Remote Sensing Applications Society and Environment.

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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