Lawal Billa

44 total papers · 2.2k total citations
33 papers, 1.4k citations indexed

About

Lawal Billa is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Lawal Billa has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 7 papers in Ecology. Recurrent topics in Lawal Billa's work include Flood Risk Assessment and Management (13 papers), Hydrology and Watershed Management Studies (6 papers) and Remote Sensing in Agriculture (6 papers). Lawal Billa is often cited by papers focused on Flood Risk Assessment and Management (13 papers), Hydrology and Watershed Management Studies (6 papers) and Remote Sensing in Agriculture (6 papers). Lawal Billa collaborates with scholars based in Malaysia, United Kingdom and Australia. Lawal Billa's co-authors include Ajit Singh, Yen Yi Loo, Iván Franch-Pardo, Fernando Antonio Rosete Vergés, Brian M. Napoletano, Biswajeet Pradhan, Shattri Mansor, Ahmad Rodzi Mahmud, Abubakr A. A. Al-sharif and Abdul Halim Ghazali and has published in prestigious journals such as The Science of The Total Environment, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Lawal Billa

31 papers receiving 1.4k citations

Hit Papers

Spatial analysis and GIS ... 2014 2026 2018 2022 2020 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lawal Billa 696 263 240 188 187 33 1.4k
Bidroha Basu 720 1.0× 184 0.7× 99 0.4× 266 1.4× 197 1.1× 45 1.3k
Michael Hagenlocher 880 1.3× 126 0.5× 159 0.7× 77 0.4× 158 0.8× 56 1.8k
Hwa‐Lung Yu 343 0.5× 157 0.6× 250 1.0× 578 3.1× 211 1.1× 79 1.8k
Yang Li 759 1.1× 98 0.4× 189 0.8× 301 1.6× 154 0.8× 78 1.6k
Pavan Kumar 532 0.8× 123 0.5× 151 0.6× 309 1.6× 76 0.4× 71 1.3k
Xiaoyue Liu 401 0.6× 219 0.8× 221 0.9× 94 0.5× 57 0.3× 79 1.4k
Anthony J. Parolari 511 0.7× 110 0.4× 179 0.7× 252 1.3× 256 1.4× 43 1.2k
Kytt MacManus 829 1.2× 43 0.2× 271 1.1× 157 0.8× 80 0.4× 26 1.4k
Nadine Dessay 523 0.8× 104 0.4× 140 0.6× 84 0.4× 97 0.5× 44 1.2k
Shawky Mansour 523 0.8× 92 0.3× 150 0.6× 116 0.6× 28 0.1× 41 1.1k

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

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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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