Philipp Helle

988 citations
44 papers · 763 · h-index 16

Impact in

Papers in

Philipp Helle

41 papers receiving 726 citations

Peers

Philipp Helle
Comparison fields: 5 of 48
  • Signal Processing 534
  • Computer Vision and Pattern Recognition 578
  • Software 79
  • Safety, Risk, Reliability and Quality 39
  • Media Technology 32
Replace Anil K. Sarje with:
Anil K. Sarje India
Rusty O. Baldwin United States
Mohamed Kaâniche France
Mengshi Zhang United States
Yunhan Jia United States
Aminollah Khormali United States
Vladimir I. Gorodetski Russia
Weizhong Qiang China
Omar Chowdhury United States
Nora Cuppens France
Philipp Helle relative to Anil K. Sarje India Anil K. Sarje's profile →
Citations per field
00.5×9.6×
Anil K. Sarje · 1×
Citations per year

Countries citing papers authored by Philipp Helle

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Helle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012131
2 2010104
3 201348
4 201945
5 201644
6 201137
7 201832
8 201027
9 201327
10 201924
11 201923
12 201220
13
Execution of UML State Machines Using Modelica
201017
14 202117
15 201116
16 201416
17 201714
18 201113
19 201213
20 20157

About Philipp Helle

Philipp Helle is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 44 papers that have together received 763 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (22 papers), Advanced Vision and Imaging (20 papers), Advanced Image Processing Techniques (13 papers), Advanced Data Compression Techniques (9 papers), Software Reliability and Analysis Research (7 papers), Simulation Techniques and Applications (6 papers), Model-Driven Software Engineering Techniques (5 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Signal Processing (534 citations), Computer Vision and Pattern Recognition (578 citations), Software (79 citations), Safety, Risk, Reliability and Quality (39 citations) and Media Technology (32 citations). Philipp Helle has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Thomas Wiegand, Detlev Marpe, Heiko Schwarz, Benjamin Bross, Wladimir Schamai, Martin Winken, Jonathan Pfaff, Kemal Uǧur, Tung Nguyen and Haricharan Lakshman. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal of Selected Topics in Signal Processing, Lecture notes in computer science, The Journal of Defense Modeling and Simulation Applications Methodology Technology and Electronic Notes in Theoretical Computer Science.

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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