Volkmar Uhlig

27 total papers · 1.1k total citations
24 papers, 787 citations indexed

About

Volkmar Uhlig is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Volkmar Uhlig has authored 24 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 15 papers in Information Systems. Recurrent topics in Volkmar Uhlig's work include Parallel Computing and Optimization Techniques (18 papers), Cloud Computing and Resource Management (15 papers) and Advanced Data Storage Technologies (12 papers). Volkmar Uhlig is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Cloud Computing and Resource Management (15 papers) and Advanced Data Storage Technologies (12 papers). Volkmar Uhlig collaborates with scholars based in United States, Germany and Australia. Volkmar Uhlig's co-authors include Joshua LeVasseur, Jan Stoess, Stefan Götz, Orran Krieger, Mark Mergen, Jimi Xenidis, Amos Waterland, Jonathan Appavoo, Gernot Heiser and Bryan S. Rosenburg and has published in prestigious journals such as IBM Journal of Research and Development, ACM SIGOPS Operating Systems Review and The International Journal of High Performance Computing Applications.

In The Last Decade

Volkmar Uhlig

24 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Volkmar Uhlig 625 452 443 249 68 24 787
Bryan S. Rosenburg 578 0.9× 413 0.9× 297 0.7× 192 0.8× 27 0.4× 29 681
Nadav Amit 508 0.8× 353 0.8× 424 1.0× 177 0.7× 67 1.0× 30 633
Owen S. Hofmann 485 0.8× 323 0.7× 258 0.6× 388 1.6× 221 3.3× 25 770
Gong Su 505 0.8× 235 0.5× 357 0.8× 189 0.8× 51 0.8× 26 688
Wei Huang 622 1.0× 310 0.7× 530 1.2× 128 0.5× 62 0.9× 55 817
Dinesh Subhraveti 612 1.0× 217 0.5× 441 1.0× 105 0.4× 33 0.5× 13 669
Yoonho Park 540 0.9× 231 0.5× 261 0.6× 211 0.8× 105 1.5× 34 674
Yandong Mao 679 1.1× 424 0.9× 366 0.8× 206 0.8× 131 1.9× 9 826
Ali José Mashtizadeh 457 0.7× 209 0.5× 284 0.6× 409 1.6× 288 4.2× 21 715
R. Rashid 761 1.2× 564 1.2× 147 0.3× 183 0.7× 40 0.6× 18 844

Countries citing papers authored by Volkmar Uhlig

Since Specialization
Citations

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

Fields of papers citing papers by Volkmar Uhlig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volkmar Uhlig

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