Johann Prankl

775 citations
24 papers · 505 indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (17 papers)Advanced Image and Video Retrieval Techniques (10 papers)Advanced Vision and Imaging (7 papers)
Partner nations
AustriaItalyGermany

In The Last Decade

Johann Prankl

24 papers receiving 493 citations

Peers

Johann Prankl
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 339
  • Aerospace Engineering 256
  • Geology 119
  • Control and Systems Engineering 81
  • Environmental Engineering 79
Replace Christian Potthast with:
Christian Potthast United States
Bernhard Zeisl Switzerland
Dario Lodi Rizzini Italy
Aitor Aldomà Austria
Jianhui Liu China
Jürgen Gall Germany
Javier Ruiz‐Hidalgo Spain
Jorge Fuentes-Pacheco Mexico
Alexey Abramov Germany
Andreas Holzbach Germany
Johann Prankl relative to Christian Potthast United States Christian Potthast's profile →
Citations per field
00.5×2.6×
Christian Potthast · 1×
Citations per year

Countries citing papers authored by Johann Prankl

Since Specialization
Citations

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

Fields of papers citing papers by Johann Prankl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johann Prankl

This figure shows the co-authorship network connecting the top 25 collaborators of Johann Prankl. A scholar is included among the top collaborators of Johann Prankl 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 Johann Prankl. Johann Prankl 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 4
2 38
3 18
4 13
5 11
6 24
7 1
8 4
9 10
10 24
11 29
12 4
13 45
14 9
15 60
16 14
17 105
18 2
19 2
20 6

About Johann Prankl

Johann Prankl is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 24 papers that have together received 505 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Geology (119 citations), Computer Vision and Pattern Recognition (339 citations) and Aerospace Engineering (256 citations). Johann Prankl has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Markus Vincze, Michael Zillich, Andreas Richtsfeld, Thomas Mörwald, Daniel Wolf, Timothy Patten, Federico Tombari, Daniel Wolf, Luigi Di Stefano and Aitor Aldomà. Their work appears in journals such as Soil and Tillage Research, Computer Vision and Image Understanding and Biosystems Engineering.

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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