Danish Raza

567 citations
24 papers · 293 · 1 hit paper · h-index 9

Impact in

Papers in

Danish Raza

19 papers receiving 287 citations

Danish Raza's Hit Papers

Comparison of Three Machine Learning Algorithms Using Google Earth Engine for Land Use Land Cover Classification 2023 · 110 citations
1100+1+2Years since publication255075100

Peers

Danish Raza
Comparison fields: 5 of 65
  • Environmental Engineering 101
  • Global and Planetary Change 144
  • Ecology 94
  • Water Science and Technology 50
  • Atmospheric Science 55
Replace Tehmina Bibi with:
Tehmina Bibi Pakistan
Andaleeb Yaseen China
Muhammad Nasar Ahmad China
Nikola Kranjčić Croatia
Fernando Oñate-Valdivieso Ecuador
Feng Cheng China
Yelong Zeng China
Yuhan Huang China
Sina Paryani Iran
Asif Sajjad China
Danish Raza relative to Tehmina Bibi Pakistan Tehmina Bibi's profile →
Citations per field
00.5×1.5×
Tehmina Bibi · 1×
Citations per year

Countries citing papers authored by Danish Raza

Since Specialization
Citations

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

Fields of papers citing papers by Danish Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danish Raza, 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 Danish Raza Line = papers co-authored together Danish Raza 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
Comparison of Three Machine Learning Algorithms Using Google Earth Engine for Land Use Land Cover Classification
Hit paper breakdown →
2023110
2 202353
3 202428
4 201316
5 202514
6 202314
7 202312
8 20219
9 20258
10 20247
11 20204
12 20233
13 20233
14 20203
15 20252
16 20152
17 20252
18 20242
19 20181
20 20230

About Danish Raza

Danish Raza is a scholar working on Global and Planetary Change, Environmental Engineering, Ecology, Media Technology and Management, Monitoring, Policy and Law, having authored 24 papers that have together received 293 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (9 papers), Remote Sensing in Agriculture (6 papers), Soil and Land Suitability Analysis (4 papers), Geochemistry and Geologic Mapping (4 papers), Remote-Sensing Image Classification (4 papers), Groundwater and Watershed Analysis (3 papers), Urban Heat Island Mitigation (3 papers) and Flood Risk Assessment and Management (2 papers). The work is most often cited by research in Environmental Engineering (101 citations), Global and Planetary Change (144 citations), Ecology (94 citations), Water Science and Technology (50 citations) and Atmospheric Science (55 citations). Danish Raza has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Rana Waqar Aslam, Wesam Atef Hatamleh, Aqil Tariq, Tehmina Bibi, Abdul Quddoos, Liaqat Ali Waseem, Hong Shu, Fakhrul Islam, Muhammad Nawaz and Waqar Ahmad. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Rangeland Ecology & Management, Geothermics, Advances in Space Research and Big Data Research.

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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