Frank Slomka

134 total papers · 1.0k total citations
73 papers, 636 citations indexed

About

Frank Slomka is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Frank Slomka has authored 73 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Hardware and Architecture, 30 papers in Computational Theory and Mathematics and 14 papers in Computer Networks and Communications. Recurrent topics in Frank Slomka's work include Real-Time Systems Scheduling (46 papers), Embedded Systems Design Techniques (44 papers) and Formal Methods in Verification (17 papers). Frank Slomka is often cited by papers focused on Real-Time Systems Scheduling (46 papers), Embedded Systems Design Techniques (44 papers) and Formal Methods in Verification (17 papers). Frank Slomka collaborates with scholars based in Germany, United States and United Kingdom. Frank Slomka's co-authors include Robert I. Davis, Richard Hofmann, Heiko Falk, Giorgio Buttazzo, Alessandro Biondi, S. Eckert, Daniel Maier, Oliver Bringmann, Samarjit Chakraborty and H Schumacher and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Systems and Software.

In The Last Decade

Frank Slomka

67 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Frank Slomka 529 242 233 82 50 73 636
Françoise Simonot‐Lion 531 1.0× 229 0.9× 290 1.2× 181 2.2× 138 2.8× 58 759
Ingo Sander 655 1.2× 139 0.6× 354 1.5× 100 1.2× 53 1.1× 112 772
Luca Santinelli 532 1.0× 116 0.5× 198 0.8× 80 1.0× 39 0.8× 43 581
Guillermo Rodríguez-Navas 416 0.8× 217 0.9× 407 1.7× 75 0.9× 72 1.4× 61 654
Maryline Chetto 540 1.0× 147 0.6× 364 1.6× 149 1.8× 24 0.5× 51 734
Dirk Ziegenbein 489 0.9× 153 0.6× 218 0.9× 42 0.5× 66 1.3× 61 590
Reinhard von Hanxleden 546 1.0× 245 1.0× 207 0.9× 31 0.4× 38 0.8× 78 737
Marco Paolieri 564 1.1× 91 0.4× 349 1.5× 69 0.8× 20 0.4× 42 750
Raimund Kirner 503 1.0× 172 0.7× 220 0.9× 34 0.4× 17 0.3× 94 671
B.D. Theelen 610 1.2× 128 0.5× 428 1.8× 47 0.6× 42 0.8× 39 729

Countries citing papers authored by Frank Slomka

Since Specialization
Citations

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

Fields of papers citing papers by Frank Slomka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Slomka

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