Thomas Kemper

4.6k total citations · 1 hit paper
69 papers, 3.0k citations indexed

About

Thomas Kemper is a scholar working on Global and Planetary Change, Media Technology and Atmospheric Science. According to data from OpenAlex, Thomas Kemper has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 25 papers in Media Technology and 12 papers in Atmospheric Science. Recurrent topics in Thomas Kemper's work include Remote-Sensing Image Classification (25 papers), Land Use and Ecosystem Services (22 papers) and Impact of Light on Environment and Health (18 papers). Thomas Kemper is often cited by papers focused on Remote-Sensing Image Classification (25 papers), Land Use and Ecosystem Services (22 papers) and Impact of Light on Environment and Health (18 papers). Thomas Kemper collaborates with scholars based in Italy, Poland and Germany. Thomas Kemper's co-authors include Martino Pesaresi, Stefan Sommer, Aneta J. Florczyk, Michele Melchiorri, Sérgio Freire, Daniele Ehrlich, Christina Corbane, Marcello Schiavina, Vasileios Syrris and Pierre Soille and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Remote Sensing of Environment.

In The Last Decade

Thomas Kemper

65 papers receiving 2.9k 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, Daniele Ehrlich 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
Thomas Kemper Italy	28	1.6k	733	631	520	430	69	3.0k
Michael Wurm Germany	31	1.7k 1.1×	606 0.8×	733 1.2×	579 1.1×	450 1.0×	135	3.1k
Jamal Jokar Arsanjani Denmark	32	2.1k 1.3×	621 0.8×	231 0.4×	540 1.0×	551 1.3×	85	3.3k
Jinsong Deng China	33	1.6k 1.0×	959 1.3×	554 0.9×	646 1.2×	116 0.3×	97	3.3k
Chuanrong Zhang United States	30	1.3k 0.8×	831 1.1×	270 0.4×	294 0.6×	407 0.9×	87	2.8k
Chengbin Deng United States	21	1.2k 0.8×	1.1k 1.5×	314 0.5×	530 1.0×	219 0.5×	46	2.3k
Sérgio Freire Italy	31	1.6k 1.0×	410 0.6×	192 0.3×	342 0.7×	725 1.7×	90	2.7k
Rui Xiao China	40	2.2k 1.4×	659 0.9×	194 0.3×	585 1.1×	310 0.7×	142	5.0k
Christina Corbane Italy	24	973 0.6×	477 0.7×	438 0.7×	352 0.7×	205 0.5×	67	2.0k
Bo Wu China	25	1.2k 0.8×	591 0.8×	241 0.4×	629 1.2×	349 0.8×	160	3.4k
Monika Kuffer Netherlands	26	1.4k 0.9×	285 0.4×	718 1.1×	424 0.8×	289 0.7×	110	2.3k

Countries citing papers authored by Thomas Kemper

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Kemper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Kemper

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

All Works

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20 of 20 papers shown

Florio, Pietro, Panagiotis Politis, Johannes Uhl, et al.. (2025). GHS-OBAT: Global, open building attribute data reporting age, function, height and compactness at footprint level. Data in Brief. 61. 111751–111751.

Melchiorri, Michele, Sérgio Freire, Marcello Schiavina, et al.. (2024). The Multi-temporal and Multi-dimensional Global Urban Centre Database to Delineate and Analyse World Cities. Scientific Data. 11(1). 82–82. 11 indexed citations

Pesaresi, Martino, Marcello Schiavina, Panagiotis Politis, et al.. (2024). Advances on the Global Human Settlement Layer by joint assessment of Earth Observation and population survey data. International Journal of Digital Earth. 17(1). 44 indexed citations

Pesaresi, Martino, et al.. (2023). Multiple regression model for estimating vertical characteristics of built-up areas at 100 m resolution from open and global Digital Elevation Models. 1 indexed citations

Schiavina, Marcello, Michele Melchiorri, Sérgio Freire, et al.. (2022). Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories. Habitat International. 123. 102543–102543. 75 indexed citations

Ehrlich, Daniele, Sérgio Freire, Michele Melchiorri, & Thomas Kemper. (2021). Open and Consistent Geospatial Data on Population Density, Built-Up and Settlements to Analyse Human Presence, Societal Impact and Sustainability: A Review of GHSL Applications. Sustainability. 13(14). 7851–7851. 18 indexed citations

Schiavina, Marcello, Konštantín Rosina, Massimo Craglia, et al.. (2020). ENACT-POP R2020A - ENACT 2011 Population Grid. 4 indexed citations

Corbane, Christina, Soushi Kato, Koki Iwao, et al.. (2020). Leveraging ALOS-2 PALSAR-2 for Mapping Built-Up Areas and Assessing Their Vertical Component. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 6473–6483. 2 indexed citations

Corbane, Christina, Panagiotis Politis, Pieter Kempeneers, et al.. (2020). A global cloud free pixel- based image composite from Sentinel-2 data. SHILAP Revista de lepidopterología. 31. 105737–105737. 50 indexed citations

10.

Schiavina, Marcello, et al.. (2020). GHS-POP2G User Guide: Population To Grid Tool User Guide Version 2. Joint Research Centre (European Commission). 1 indexed citations

11.

Schiavina, Marcello, Michele Melchiorri, Christina Corbane, et al.. (2019). Multi-Scale Estimation of Land Use Efficiency (SDG 11.3.1) across 25 Years Using Global Open and Free Data. Sustainability. 11(20). 5674–5674. 78 indexed citations

12.

Corbane, Christina, Martino Pesaresi, Thomas Kemper, et al.. (2019). Automated global delineation of human settlements from 40 years of Landsat satellite data archives. Big Earth Data. 3(2). 140–169. 114 indexed citations

13.

Corbane, Christina, Filip Sabo, Vasileios Syrris, et al.. (2019). Application of the Symbolic Machine Learning to Copernicus VHR Imagery: The European Settlement Map. IEEE Geoscience and Remote Sensing Letters. 17(7). 1153–1157. 8 indexed citations

14.

Corbane, Christina, Martino Pesaresi, Panagiotis Politis, et al.. (2018). The grey-green divide: multi-temporal analysis of greenness across 10,000 urban centres derived from the Global Human Settlement Layer (GHSL). International Journal of Digital Earth. 13(1). 101–118. 54 indexed citations

15.

Ehrlich, Daniele, Michele Melchiorri, Aneta J. Florczyk, et al.. (2018). Remote Sensing Derived Built-Up Area and Population Density to Quantify Global Exposure to Five Natural Hazards over Time. Remote Sensing. 10(9). 1378–1378. 43 indexed citations

16.

Melchiorri, Michele, Aneta J. Florczyk, Sérgio Freire, et al.. (2018). Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives from the Global Human Settlement Layer. Remote Sensing. 10(5). 768–768. 132 indexed citations

17.

Ehrlich, Daniele, Thomas Kemper, Martino Pesaresi, & Christina Corbane. (2018). Built-up area and population density: Two Essential Societal Variables to address climate hazard impact. Environmental Science & Policy. 90. 73–82. 58 indexed citations

18.

Corbane, Christina, Martino Pesaresi, Panagiotis Politis, et al.. (2017). Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping. Big Earth Data. 1(1-2). 118–144. 92 indexed citations

19.

Pesaresi, Martino, Daniele Ehrlich, Aneta J. Florczyk, et al.. (2016). The global human settlement layer from landsat imagery. 7276–7279. 100 indexed citations

20.

Pesaresi, Martino, Daniele Ehrlich, Aneta J. Florczyk, et al.. (2015). GHS-BUILT R2015B - GHS built-up grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014) - OBSOLETE RELEASE. Open MIND. 2 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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