Damian Borth

6.4k total citations · 3 hit papers
67 papers, 3.3k citations indexed

About

Damian Borth is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Damian Borth has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Damian Borth's work include Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (16 papers) and Image Retrieval and Classification Techniques (14 papers). Damian Borth is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (16 papers) and Image Retrieval and Classification Techniques (14 papers). Damian Borth collaborates with scholars based in Germany, Switzerland and United States. Damian Borth's co-authors include Andreas Dengel, Benjamin Bischke, Patrick Helber, Rongrong Ji, Thomas M. Breuel, Tao Chen, Shih-Fu Chang, Benjamin Elizalde, Bart Thomée and Karl Ni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Damian Borth

61 papers receiving 3.1k citations

Hit Papers

EuroSAT: A Novel Dataset and Deep Learning Ben... 2013 2026 2017 2021 2019 2016 2013 250 500 750

Peers

Damian Borth
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 1.4k
  • Media Technology 648
  • Ecology 228
  • Atmospheric Science 211
Replace Ruby C. Weng with:
Ruby C. Weng Taiwan
Jonathon Hare United Kingdom
Guangluan Xu China
Jorma Laaksonen Finland
Yangyang Li China
Liqiu Meng Germany
Wei Wei China
Faisal Shafait Germany
Ronald Kemker United States
Minh–Triet Tran Vietnam
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Citations per field, relative to Damian Borth
Damian Borth · 1×
Citations per year, relative to Damian Borth
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Countries citing papers authored by Damian Borth

Since Specialization
Citations

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

Fields of papers citing papers by Damian Borth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Borth

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Borth. A scholar is included among the top collaborators of Damian Borth 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 Damian Borth. Damian Borth 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
# Work Indexed citations
1 0
2 0
3 1
4 46
5 12
6 20
7
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
4
8
Commercial Vehicle Traffic Detection from Satellite Imagery with Deep Learning
1
9
An Investigation of the Weight Space for Version Control of Neural Networks.
1
10
The Multimedia Satellite Task at MediaEval 2017
7
11
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.
39
12 4
13 4
14
Audio-concept features and hidden Markov models for multimedia event detection.
2
15
Large-scale visual sentiment ontology and detectors using adjective noun pairs breakdown →
567
16
Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks.
1
17
DFKI and University of Kaiserslautern Participation at TRECVID 2010 - Semantic Indexing Task
1
18 6
19
DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task.
1
20
Keyframe Extraction for Video Tagging & Summarization.
23

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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