Kai‐Uwe Loser

51 total papers · 634 total citations
23 papers, 306 citations indexed

About

Kai‐Uwe Loser is a scholar working on Sociology and Political Science, Management Information Systems and Information Systems. According to data from OpenAlex, Kai‐Uwe Loser has authored 23 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 10 papers in Management Information Systems and 7 papers in Information Systems. Recurrent topics in Kai‐Uwe Loser's work include Information Systems Theories and Implementation (11 papers), Business Process Modeling and Analysis (10 papers) and Usability and User Interface Design (5 papers). Kai‐Uwe Loser is often cited by papers focused on Information Systems Theories and Implementation (11 papers), Business Process Modeling and Analysis (10 papers) and Usability and User Interface Design (5 papers). Kai‐Uwe Loser collaborates with scholars based in Germany and United States. Kai‐Uwe Loser's co-authors include Thomas Herrmann, Marcel Hoffmann, Isa Jahnke, Natalja Menold, Thomas Walter, Andrea Kienle, Alexander Nolte, Martin Degeling, Tilo Böhmann and Thorsten Berger and has published in prestigious journals such as IEEE Access, Behaviour and Information Technology and The Learning Organization.

In The Last Decade

Kai‐Uwe Loser

21 papers receiving 252 citations

Author Peers

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

Author Last Decade Papers Cites
Kai‐Uwe Loser 120 102 90 65 50 23 306
Peter H. Carstensen 59 0.5× 72 0.7× 109 1.2× 67 1.0× 33 0.7× 24 279
Anja Mursu 83 0.7× 118 1.2× 104 1.2× 33 0.5× 32 0.6× 16 330
H. Abimbola Soriyan 55 0.5× 138 1.4× 91 1.0× 45 0.7× 23 0.5× 22 301
Emmanuel Monod 73 0.6× 163 1.6× 38 0.4× 36 0.6× 35 0.7× 28 357
Imed Boughzala 68 0.6× 79 0.8× 35 0.4× 52 0.8× 76 1.5× 40 360
M. den Hengst 126 1.1× 52 0.5× 84 0.9× 26 0.4× 52 1.0× 26 323
Knut H. Rolland 76 0.6× 107 1.0× 138 1.5× 17 0.3× 32 0.6× 18 333
Suparna Goswami 49 0.4× 129 1.3× 26 0.3× 49 0.8× 57 1.1× 36 357
Briony J. Oates 67 0.6× 94 0.9× 101 1.1× 20 0.3× 40 0.8× 28 337
Olga Levina 94 0.8× 103 1.0× 81 0.9× 18 0.3× 21 0.4× 39 317

Countries citing papers authored by Kai‐Uwe Loser

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Uwe Loser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Uwe Loser. 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 Kai‐Uwe Loser. The network helps show where Kai‐Uwe Loser may publish in the future.

Co-authorship network of co-authors of Kai‐Uwe Loser

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