Assane Gadiaga

560 total citations · 1 hit paper
7 papers, 367 citations indexed

About

Assane Gadiaga is a scholar working on Transportation, Global and Planetary Change and Health. According to data from OpenAlex, Assane Gadiaga has authored 7 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 5 papers in Global and Planetary Change and 1 paper in Health. Recurrent topics in Assane Gadiaga's work include Land Use and Ecosystem Services (5 papers), Impact of Light on Environment and Health (5 papers) and Urban Transport and Accessibility (4 papers). Assane Gadiaga is often cited by papers focused on Land Use and Ecosystem Services (5 papers), Impact of Light on Environment and Health (5 papers) and Urban Transport and Accessibility (4 papers). Assane Gadiaga collaborates with scholars based in Belgium, Greece and United Kingdom. Assane Gadiaga's co-authors include Catherine Linard, Taïs Grippa, Stefanos Georganos, Sabine Vanhuysse, Moritz Lennert, Nicholus Mboga, Éléonore Wolff, Stamatis Kalogirou, Sébastien Dujardin and Andrew J. Tatem and has published in prestigious journals such as Nature Communications, Remote Sensing and Applied Geography.

In The Last Decade

Assane Gadiaga

7 papers receiving 360 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling

2019 303 citations Stefanos Georganos, Taïs Grippa et al. Geocarto International profile →

Peers

Assane Gadiaga

GPC

EE

TRANS

ECOLO

EE

Carson Farmer United States

Gang Cheng China

Qirui Wu China

Babak Mirbagheri Iran

Huagui He China

Coco Yin Tung Kwok Hong Kong

Xining Yang United States

Christopher T. Lloyd United Kingdom

Michael Jendryke China

Jiechen Wang China

Carson Farmer United States

Assane Gadiaga

120 ×0.8

GPC

58 ×0.7

EE

56 ×0.8

TRANS

56 ×1.1

ECOLO

40 ×0.9

EE

Citations per year, relative to Assane Gadiaga Assane Gadiaga (= 1×) peers Carson Farmer

Countries citing papers authored by Assane Gadiaga

Since Specialization

Citations

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

Fields of papers citing papers by Assane Gadiaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assane Gadiaga

This figure shows the co-authorship network connecting the top 25 collaborators of Assane Gadiaga. A scholar is included among the top collaborators of Assane Gadiaga 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 Assane Gadiaga. Assane Gadiaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Gadiaga, Assane, et al.. (2025). Estimating small area population from health intervention campaign surveys and partially observed settlement data. Nature Communications. 16(1). 4951–4951. 1 indexed citations

2.

Utazi, C. Edson, et al.. (2024). Disaggregating census data for population mapping using a Bayesian Additive Regression Tree model. Applied Geography. 172. 103416–103416. 4 indexed citations

3.

Gadiaga, Assane, Florence De Longueville, Taïs Grippa, et al.. (2021). Neighbourhood-level housing quality indices for health assessment in Dakar, Senegal. Geospatial health. 16(1). 3 indexed citations

4.

Georganos, Stefanos, Taïs Grippa, Assane Gadiaga, et al.. (2019). Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling. Geocarto International. 36(2). 121–136. 303 indexed citations breakdown →

5.

Grippa, Taïs, Catherine Linard, Moritz Lennert, et al.. (2019). Improving Urban Population Distribution Models with Very-High Resolution Satellite Information. Data. 4(1). 13–13. 29 indexed citations

6.

Georganos, Stefanos, Assane Gadiaga, Catherine Linard, et al.. (2019). Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information. Remote Sensing. 11(21). 2543–2543. 20 indexed citations

7.

Georganos, Stefanos, Taïs Grippa, Assane Gadiaga, et al.. (2019). An Application of Geographical Random Forests for Population Estimation in Dakar, Senegal using Very-High-Resolution Satellite Imagery. Repository of the University of Namur. 1–4. 7 indexed citations

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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