Mayeul Kauffmann

572 total citations · 1 hit paper
6 papers, 439 citations indexed

About

Mayeul Kauffmann is a scholar working on Media Technology, Sociology and Political Science and Ecology. According to data from OpenAlex, Mayeul Kauffmann has authored 6 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Media Technology, 2 papers in Sociology and Political Science and 2 papers in Ecology. Recurrent topics in Mayeul Kauffmann's work include Remote-Sensing Image Classification (4 papers), Remote Sensing and Land Use (2 papers) and Remote Sensing in Agriculture (2 papers). Mayeul Kauffmann is often cited by papers focused on Remote-Sensing Image Classification (4 papers), Remote Sensing and Land Use (2 papers) and Remote Sensing in Agriculture (2 papers). Mayeul Kauffmann collaborates with scholars based in Italy and China. Mayeul Kauffmann's co-authors include Daniele Ehrlich, Martino Pesaresi, Huadong Guo, Linlin Lu, Xavier Blaes, Pierre Soille, Georgios K. Ouzounis, Lionel Gueguen, Vasileios Syrris and Ferri Stefano and has published in prestigious journals such as Natural hazards and earth system sciences, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Joint Research Centre (European Commission).

In The Last Decade

Mayeul Kauffmann

5 papers receiving 419 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.

A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

2013 344 citations Martino Pesaresi, Huadong Guo et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mayeul Kauffmann Italy	4	275	149	117	85	79	6	439
Matina Halkia Italy	7	317 1.2×	128 0.9×	108 0.9×	92 1.1×	72 0.9×	8	468
Klaus Steinnocher Austria	15	308 1.1×	172 1.2×	142 1.2×	141 1.7×	212 2.7×	48	648
Shuo-sheng Wu United States	9	321 1.2×	83 0.6×	76 0.6×	96 1.1×	67 0.8×	18	519
Filip Sabo Italy	11	319 1.2×	85 0.6×	89 0.8×	140 1.6×	125 1.6×	30	560
Tobias Leichtle Germany	10	179 0.7×	126 0.8×	119 1.0×	115 1.4×	80 1.0×	19	398
Tzu‐Hsin Karen Chen United States	9	244 0.9×	60 0.4×	85 0.7×	95 1.1×	73 0.9×	15	414
Michael Wiesner Germany	5	427 1.6×	124 0.8×	160 1.4×	116 1.4×	95 1.2×	7	556
Eddie Bright United States	10	247 0.9×	114 0.8×	66 0.6×	41 0.5×	54 0.7×	17	473
Xiaomin Qiu United States	9	304 1.1×	63 0.4×	62 0.5×	102 1.2×	70 0.9×	13	490
Manfred Keil Germany	6	265 1.0×	86 0.6×	81 0.7×	133 1.6×	150 1.9×	18	433

Countries citing papers authored by Mayeul Kauffmann

Since Specialization

Citations

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

Fields of papers citing papers by Mayeul Kauffmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayeul Kauffmann

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

All Works

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6 of 6 papers shown

1.

Kauffmann, Mayeul, et al.. (2023). Quelles bases de données pour les recherches sur la non-violence ?. Persée (Ministère de lEnseignement supérieur et de la Recherche). 126(1). 91–106. 2 indexed citations

2.

Kauffmann, Mayeul, et al.. (2023). Expanding Data on Unarmed Civilian Peacekeeping. 1(2). 291–320.

3.

Pesaresi, Martino, Huadong Guo, Xavier Blaes, et al.. (2013). A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(5). 2102–2131. 344 indexed citations breakdown →

4.

Lemoine, Guido, et al.. (2013). Intercomparison and validation of building damage assessments based on post-Haiti 2010 earthquake imagery using multi-source reference data. Joint Research Centre (European Commission). 10 indexed citations

5.

Corbane, Christina, Guido Lemoine, & Mayeul Kauffmann. (2012). Relationship between the spatial distribution of SMS messages reporting needs and building damage in 2010 Haiti disaster. Natural hazards and earth system sciences. 12(2). 255–265. 21 indexed citations

6.

Pesaresi, Martino, et al.. (2011). Toward Global Automatic Built-Up Area Recognition Using Optical VHR Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 4(4). 923–934. 62 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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