Lawal Billa

31 papers receiving 1.4k citations

Hit Papers

Spatial analysis and GIS in the study of CO...201420262018202220202014100200300400

Peers

Lawal Billa
Comparison fields: 5 of 123
  • Global and Planetary Change 707
  • Modeling and Simulation 264
  • Atmospheric Science 244
  • Environmental Engineering 192
  • Water Science and Technology 192
Replace Juanle Wang with:
Juanle Wang China
Pavan Kumar India
Fengqin Yan China
Michael Hagenlocher Germany
Stefan Kienberger Austria
Matteo Convertino United States
Bidroha Basu Ireland
Fenzhen Su China
Han Xiao China
Hwa‐Lung Yu Taiwan
Lawal Billa relative to Juanle Wang China Juanle Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lawal Billa

Since Specialization
Citations

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

Fields of papers citing papers by Lawal Billa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawal Billa

This figure shows the co-authorship network connecting the top 25 collaborators of Lawal Billa. A scholar is included among the top collaborators of Lawal Billa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawal Billa. Lawal Billa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 31
4 3
5 6
6 14
7 23
8 26
9
Spatial analysis and GIS in the study of COVID-19. A reviewbreakdown →
417
10 0
11 13
12 4
13 3
14
GIS Routing and Modelling of Residential Waste Collection for Operational Management and Cost Optimization
5
15
Effect of climate change on seasonal monsoon in Asia and its impact on the variability of monsoon rainfall in Southeast Asiabreakdown →
409
16
GIS Modeling for Selection of a Transfer Station Site for Residential Solid Waste Separation and Recycling
7
17 8
18 140
19 9
20
Spatial Technology for Risk Management
1

About Lawal Billa

Lawal Billa is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (13 papers), Remote Sensing in Agriculture (6 papers) and Hydrology and Watershed Management Studies (6 papers). The work is most often cited by research in Modeling and Simulation (264 citations), Global and Planetary Change (707 citations) and Water Science and Technology (192 citations). Lawal Billa has collaborated with scholars based in Malaysia, United Kingdom and Australia. Frequent co-authors include Ajit Singh, Yen Yi Loo, Fernando Antonio Rosete Vergés, Brian M. Napoletano, Iván Franch-Pardo, Biswajeet Pradhan, Shattri Mansor, Ahmad Rodzi Mahmud, Abubakr A. A. Al-sharif and Abdul Halim Ghazali. Their work appears in journals such as The Science of The Total Environment, International Journal of Remote Sensing and Remote Sensing.

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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