Franz Graf

241 total papers · 453 total citations
48 papers, 212 citations indexed

About

Franz Graf is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Franz Graf has authored 48 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Franz Graf's work include Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Data Management and Algorithms (4 papers). Franz Graf is often cited by papers focused on Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Data Management and Algorithms (4 papers). Franz Graf collaborates with scholars based in Germany, Austria and Switzerland. Franz Graf's co-authors include Hans‐Peter Kriegel, Matthias Schubert, Alexander Cavallaro, Björn W. Schuller, Florian B. Pokorny, Sebastian Pölsterl, Franz Pernkopf, Tobias Emrich, M. Weiler and Matthias Renz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Nuclear Science.

In The Last Decade

Franz Graf

39 papers receiving 199 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Franz Graf 68 58 39 23 17 48 212
Bo Cai 94 1.4× 55 0.9× 16 0.4× 11 0.5× 25 1.5× 44 224
Wei Xiao 82 1.2× 45 0.8× 48 1.2× 8 0.3× 27 1.6× 31 210
Kexin Zhang 30 0.4× 62 1.1× 30 0.8× 18 0.8× 35 2.1× 40 258
Junhao Zheng 49 0.7× 85 1.5× 32 0.8× 9 0.4× 15 0.9× 36 241
Jie Zhang 78 1.1× 50 0.9× 38 1.0× 7 0.3× 29 1.7× 32 184
Denghui Zhang 68 1.0× 66 1.1× 26 0.7× 34 1.5× 15 0.9× 35 250
Wushour Silamu 37 0.5× 111 1.9× 38 1.0× 24 1.0× 14 0.8× 28 242
José L. Encarnação 92 1.4× 25 0.4× 16 0.4× 13 0.6× 12 0.7× 55 229
Mohammad Alamgeer 39 0.6× 73 1.3× 13 0.3× 17 0.7× 26 1.5× 50 226
Nelly Elsayed 43 0.6× 88 1.5× 60 1.5× 25 1.1× 11 0.6× 27 206

Countries citing papers authored by Franz Graf

Since Specialization
Citations

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

Fields of papers citing papers by Franz Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Graf

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

All Works

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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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