Hannes Payer

45 total papers · 672 total citations
34 papers, 400 citations indexed

About

Hannes Payer is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hannes Payer has authored 34 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hardware and Architecture, 18 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Hannes Payer's work include Parallel Computing and Optimization Techniques (20 papers), Distributed systems and fault tolerance (12 papers) and Real-Time Systems Scheduling (9 papers). Hannes Payer is often cited by papers focused on Parallel Computing and Optimization Techniques (20 papers), Distributed systems and fault tolerance (12 papers) and Real-Time Systems Scheduling (9 papers). Hannes Payer collaborates with scholars based in Austria, United States and Germany. Hannes Payer's co-authors include Christoph Kirsch, Ana Sokolova, Ali Sezgin, Thomas A. Henzinger, Silviu S. Craciunas, Ben L. Titzer, Andreas Vécsei, Andreas Uhl, Michael Liedlgruber and Samarjit Chakraborty and has published in prestigious journals such as Communications of the ACM, Computer Methods and Programs in Biomedicine and ACM SIGPLAN Notices.

In The Last Decade

Hannes Payer

32 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Hannes Payer 245 202 90 80 57 34 400
Weixing Ji 271 1.1× 222 1.1× 73 0.8× 59 0.7× 58 1.0× 62 397
Tyler Sorensen 217 0.9× 261 1.3× 62 0.7× 58 0.7× 46 0.8× 31 355
Khanh Nguyen 204 0.8× 114 0.6× 37 0.4× 205 2.6× 20 0.4× 34 392
Chin‐Fu Kuo 262 1.1× 200 1.0× 36 0.4× 66 0.8× 97 1.7× 52 438
Bert Vankeirsbilck 164 0.7× 119 0.6× 80 0.9× 117 1.5× 48 0.8× 38 388
Hwansoo Han 260 1.1× 238 1.2× 65 0.7× 80 1.0× 41 0.7× 56 373
Priyadarsan Patra 90 0.4× 194 1.0× 75 0.8× 52 0.7× 286 5.0× 50 441
Sung Y. Shin 153 0.6× 29 0.1× 156 1.7× 101 1.3× 48 0.8× 62 382
Phitchaya Mangpo Phothilimthana 185 0.8× 176 0.9× 90 1.0× 116 1.4× 39 0.7× 26 358
Rafael Asenjo 289 1.2× 274 1.4× 69 0.8× 107 1.3× 27 0.5× 53 419

Countries citing papers authored by Hannes Payer

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Payer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Payer

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Payer. A scholar is included among the top collaborators of Hannes Payer 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 Hannes Payer. Hannes Payer 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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