Uwe V. Riss

65 total papers · 1.8k total citations
34 papers, 1.3k citations indexed

About

Uwe V. Riss is a scholar working on Information Systems and Management, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Uwe V. Riss has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems and Management, 11 papers in Artificial Intelligence and 9 papers in Management Information Systems. Recurrent topics in Uwe V. Riss's work include Personal Information Management and User Behavior (12 papers), Business Process Modeling and Analysis (9 papers) and Advanced Chemical Physics Studies (8 papers). Uwe V. Riss is often cited by papers focused on Personal Information Management and User Behavior (12 papers), Business Process Modeling and Analysis (9 papers) and Advanced Chemical Physics Studies (8 papers). Uwe V. Riss collaborates with scholars based in Germany, United Kingdom and Switzerland. Uwe V. Riss's co-authors include Hans‐Dieter Meyer, Thomas Sommerfeld, Lorenz S. Cederbaum, Bernd Engels, H. U. Suter, Stephan Aier, Kazem Haki, L. S. Cederbaum, Wil M. P. van der Aalst and Heiko Maus and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Review A.

In The Last Decade

Uwe V. Riss

31 papers receiving 1.2k citations

Hit Papers

Calculation of resonance ... 1993 2026 2004 2015 1993 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Uwe V. Riss 1.0k 252 161 118 83 34 1.3k
Thomas Hornung 794 0.8× 234 0.9× 104 0.6× 46 0.4× 310 3.7× 36 1.2k
Karoline Wiesner 599 0.6× 211 0.8× 70 0.4× 89 0.8× 199 2.4× 59 1.4k
Thomas R. Furlani 550 0.5× 188 0.7× 127 0.8× 224 1.9× 29 0.3× 73 1.5k
Lester Lipsky 851 0.8× 215 0.9× 177 1.1× 23 0.2× 35 0.4× 79 1.4k
Robert Goodwin 214 0.2× 101 0.4× 48 0.3× 37 0.3× 31 0.4× 71 1.5k
Richard E. Overill 425 0.4× 267 1.1× 63 0.4× 141 1.2× 322 3.9× 87 1.3k
L. Nemes 484 0.5× 407 1.6× 110 0.7× 49 0.4× 277 3.3× 108 1.6k
René C. van Schaik 381 0.4× 191 0.8× 41 0.3× 97 0.8× 19 0.2× 17 1.5k
Ronald B. Morgan 792 0.8× 35 0.1× 172 1.1× 12 0.1× 36 0.4× 40 1.6k
P. Benassi 260 0.3× 81 0.3× 133 0.8× 41 0.3× 45 0.5× 57 1.1k

Countries citing papers authored by Uwe V. Riss

Since Specialization
Citations

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

Fields of papers citing papers by Uwe V. Riss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uwe V. Riss. 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 Uwe V. Riss. The network helps show where Uwe V. Riss may publish in the future.

Co-authorship network of co-authors of Uwe V. Riss

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe V. Riss. A scholar is included among the top collaborators of Uwe V. Riss 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 Uwe V. Riss. Uwe V. Riss 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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