Benjamin Kellenberger

2.6k citations

27 papers · 1.2k indexed · 1 hit paper · h-index 13

Ecological Modeling top 2%
- Species Distribution and Climate Change 8
Media Technology top 2%
- Remote-Sensing Image Classification 4
Developmental Biology top 5%
Computer Vision and Pattern Recognition top 2%
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 5
Ecology top 5%
- Wildlife Ecology and Conservation 5
- Remote Sensing in Agriculture 3
Artificial Intelligence
- Domain Adaptation and Few-Shot Learning 5
Aerospace Engineering
- Robotics and Sensor-Based Localization 4

Co-authors: Devis Tuia Diego Marcos Michele Volpi Sylvain Lobry Blair R. Costelloe Frank van Langevelde Grant Van Horn Sara Beery
Cited by: Ecological Modeling Media Technology Developmental Biology
Journals: Scientific Reports (2 papers)Ecological Informatics (2 papers)Remote Sensing of Environment (2 papers)
Partner nations: Switzerland Netherlands United States

In The Last Decade

Benjamin Kellenberger

24 papers receiving 1.2k citations

Hit Papers

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Peers

Countries citing papers authored by Benjamin Kellenberger

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Kellenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Benjamin Kellenberger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Kellenberger Line = papers co-authored together Benjamin Kellenberger links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	The Performance and Potential of Deep Learning for Predicting Species Distributions Global Ecology and Biogeography ·Benjamin Kellenberger,Kevin Winner,W. Jetz	2026	0
2	MaskSDM with Shapley values to improve flexibility, robustness and explainability in species distribution modelling Methods in Ecology and Evolution ·Christine Tomchee,John Nijjem,Gencer Sumbül,青木郁香,Benjamin Kellenberger,Devis Tuia	2025	0
3	How to minimize the annotation effort in aerial wildlife surveys Ecological Informatics ·道郎木下,Andrés Guillermo Boada Carabalí,N. Ohishi,Benjamin Kellenberger,Devis Tuia	2025	0
4	Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica Geophysical Research Letters ·Flusin Jl,Harry Zekollari,Frank Pattyn,Marc Rußwurm,Benjamin Kellenberger,Stef Lhermitte,Andraž Šmon,Devis Tuia	2024	3
5	Meta-learning to address diverse Earth observation problems across resolutions Communications Earth & Environment ·Marc Rußwurm,Sherrie Wang,Benjamin Kellenberger,Ribana Roscher,Devis Tuia	2024	3
6	Stay close, but not too close: aerial image analysis reveals patterns of social distancing in seal colonies Royal Society Open Science ·Jin-Won Lee,K. W. McLaughlin,Sophie Brasseur,Benjamin Kellenberger,Devis Tuia,Geert Aarts	2023	7
7	Perspectives in machine learning for wildlife conservationbreakdown → Nature Communications ·Devis Tuia,Benjamin Kellenberger,Sara Beery,Blair R. Costelloe,Silvia Zuffi,Benjamin Risse,Alexander Mathis,Mackenzie Weygandt Mathis,Frank van Langevelde,Tilo Burghardt,Roland Kays,Holger Klinck,Martin Wikelski,Iain D. Couzin,Grant Van Horn,Margaret C. Crofoot,Charles V. Stewart,Tanya Berger‐Wolf	2022	348
8	Fine-grained population mapping from coarse census counts and open geodata Scientific Reports ·Thomas Leisten,John E. Vargas-Muñoz,Rodrigo Caye Daudt,Benjamin Kellenberger,徳永貴広,Ferda Ofli,P. Assiouras,Konrad Schindler,Devis Tuia	2022	17
9	Training Techniques for Presence-Only Habitat Suitability Mapping with Deep Learning IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium ·Benjamin Kellenberger,Elijah Cole,Diego Marcos,Devis Tuia	2022	2
10	Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning Remote Sensing of Environment ·P. Svensson,Benjamin Kellenberger,Devis Tuia	2022	27
11	Counting using deep learning regression gives value to ecological surveys Scientific Reports ·Jin-Won Lee,Benjamin Kellenberger,Geert Aarts,Sophie Brasseur,Martin Kneidinger,Devis Tuia	2021	14
12	Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Xiaochen Zheng,Benjamin Kellenberger,Rui Gong,Irena Hajnsek,Devis Tuia	2021	13
13	AIDE: Accelerating image‐based ecological surveys with interactive machine learning Methods in Ecology and Evolution ·Benjamin Kellenberger,Devis Tuia,Dan Morris	2020	32
14	Deep learning for automated detection of Drosophila suzukii: potential for UAV‐based monitoring Pest Management Science ·Peter Roosjen,Benjamin Kellenberger,Lammert Kooistra,David R. Green,Johannes Fahrentrapp	2020	56
15	BETTER GENERIC OBJECTS COUNTING WHEN ASKING QUESTIONS TO IMAGES: A MULTITASK APPROACH FOR REMOTE SENSING VISUAL QUESTION ANSWERING SHILAP Revista de lepidopterología ·Sylvain Lobry,Diego Marcos,Benjamin Kellenberger,Devis Tuia	2020	11
16	When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images Socio-Environmental Systems Modeling ·Benjamin Kellenberger,Diego Marcos,Devis Tuia	2019	19
17	Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning Remote Sensing of Environment ·Benjamin Kellenberger,Diego Marcos,Devis Tuia	2018	228
18	Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport Data Archiving and Networked Services (DANS) ·Benjamin Kellenberger,Diego Marcos,Nicolas Courty,Devis Tuia	2018	3
19	Learning class- and location-specific priors for urban semantic labeling with CNNs Data Archiving and Networked Services (DANS) ·Benjamin Kellenberger,Michele Volpi,Devis Tuia	2017	1
20	Fast animal detection in UAV images using convolutional neural networks Data Archiving and Networked Services (DANS) ·Benjamin Kellenberger,Michele Volpi,Devis Tuia	2017	70

About Benjamin Kellenberger

Benjamin Kellenberger is a scholar working on Ecological Modeling, Ecology, Computer Vision and Pattern Recognition, Developmental Biology and Media Technology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Wildlife Ecology and Conservation (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Remote-Sensing Image Classification (4 papers), Robotics and Sensor-Based Localization (4 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Ecological Modeling (202 citations), Media Technology (232 citations), Developmental Biology (52 citations), Computer Vision and Pattern Recognition (395 citations) and Ecology (443 citations). Benjamin Kellenberger has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Devis Tuia, Diego Marcos, Michele Volpi, Sylvain Lobry, Blair R. Costelloe, Frank van Langevelde, Grant Van Horn, Sara Beery, Benjamin Risse and Mackenzie Weygandt Mathis. Their work appears in journals such as Scientific Reports, Ecological Informatics, Remote Sensing of Environment, Methods in Ecology and Evolution and Communications Earth & Environment.

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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