Tilo Burghardt

3.0k citations
64 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Video Surveillance and Tracking Methods (14 papers)Wildlife Ecology and Conservation (10 papers)Advanced Image and Video Retrieval Techniques (10 papers)

In The Last Decade

Tilo Burghardt

61 papers receiving 1.5k citations

Hit Papers

Perspectives in machine learning for wildlife conservation20222026202320242022100200300

Peers

Tilo Burghardt
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 688
  • Ecology 366
  • Food Science 211
  • Ecological Modeling 187
  • Molecular Biology 181
Replace Greg Falzon with:
Greg Falzon Australia
Tim Wark Australia
Henrik Karstoft Denmark
Mohammad Sadegh Norouzzadeh Iran
Greg Bishop-Hurley Australia
Zhihai He United States
Benjamin Kellenberger Switzerland
Blair R. Costelloe United States
Ta‐Te Lin Taiwan
Hemerson Pistori Brazil
Tilo Burghardt relative to Greg Falzon Australia Greg Falzon's profile →
Citations per field
00.5×4.1×
Greg Falzon · 1×
Citations per year

Countries citing papers authored by Tilo Burghardt

Since Specialization
Citations

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

Fields of papers citing papers by Tilo Burghardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilo Burghardt

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 9
4 9
5 3
6
Perspectives in machine learning for wildlife conservationbreakdown →
348
7 8
8 7
9 12
10 7
11 15
12 37
13 41
14 18
15 55
16 129
17
A Brief Review of Biometric Identification
2
18
A General Introduction to Visual Animal Biometrics
1
19
A Fully Automated Computer Vision System for the Biometric Identification of African Penguins (Spheniscus demersus) on Robben Island
4
20
Towards intelligent content based retrieval of wildlife videos
17

About Tilo Burghardt

Tilo Burghardt is a scholar working on Developmental Biology, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (14 papers), Wildlife Ecology and Conservation (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Developmental Biology (107 citations), Ecological Modeling (187 citations) and Computer Vision and Pattern Recognition (688 citations). Tilo Burghardt has collaborated with scholars based in United Kingdom, Germany and Brazil. Frequent co-authors include Neill Campbell, Hjalmar S. Kühl, William Andrew, Majid Mirmehdi, Colin Greatwood, Janko Ćalić, Dima Damen, Lili Tao, Adeline Paiement and Massimo Camplani. Their work appears in journals such as Nature Communications, Trends in Ecology & Evolution and Sensors.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026