Mario Döller

578 citations
37 papers · 191 · h-index 7

Impact in

Papers in

Mario Döller

32 papers receiving 181 citations

Peers

Mario Döller
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 100
  • Signal Processing 34
  • Building and Construction 30
  • Computer Graphics and Computer-Aided Design 5
  • Media Technology 12
Replace Jeripothula Prudviraj with:
Jeripothula Prudviraj India
Alain Bouju France
Jing Dai United States
Hyeon-Woo Kang South Korea
Sangita Chaudhari India
Yuan Zhong China
Sami Faïz Tunisia
José R. R. Viqueira Spain
Kostis Kyzirakos Greece
Jinyun Fang China
Mario Döller relative to Jeripothula Prudviraj India Jeripothula Prudviraj's profile →
Citations per field
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Jeripothula Prudviraj · 1×
Citations per year

Countries citing papers authored by Mario Döller

Since Specialization
Citations

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

Fields of papers citing papers by Mario Döller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Döller, 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 Mario Döller Line = papers co-authored together Mario Döller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200526
2 200823
3 201919
4 201917
5 200717
6 20118
7 20027
8 20026
9
Towards Automated Real Estate Assessment from Satellite Images with CNNs.
20176
10 20226
11 20125
12 20085
13 20074
14 20174
15 20124
16 20124
17 20034
18 20093
19 20123
20
Generische Datenintegration zur semantischen Diagnoseunterstützung im Projekt THESEUS MEDICO.
20112

About Mario Döller

Mario Döller is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Building and Construction and Information Systems, having authored 37 papers that have together received 191 indexed citations. Recurring topics across this work include Video Analysis and Summarization (10 papers), Music and Audio Processing (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Data Management and Algorithms (5 papers), Traffic Prediction and Management Techniques (4 papers), Digital Rights Management and Security (3 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Signal Processing (34 citations), Building and Construction (30 citations), Computer Graphics and Computer-Aided Design (5 citations) and Media Technology (12 citations). Mario Döller has collaborated with scholars based in Germany, Austria and Spain. Frequent co-authors include Harald Kosch, Matthias Zeppelzauer, Rubén Tous, László Böszörményi, Kyoungro Yoon, John R. Smith, Lee Burnett, Masanori Sano, Claudio A. Ardagna and Ernesto Damiani. Their work appears in journals such as IEEE Multimedia, Journal of Systems and Software, Energy and Buildings, Multimedia Tools and Applications and Journal of Real Estate Literature.

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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