Frank Puhlmann

29 total papers · 1.0k total citations
10 papers, 150 citations indexed

About

Frank Puhlmann is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Frank Puhlmann has authored 10 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 8 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Frank Puhlmann's work include Business Process Modeling and Analysis (8 papers), Service-Oriented Architecture and Web Services (8 papers) and Advanced Software Engineering Methodologies (4 papers). Frank Puhlmann is often cited by papers focused on Business Process Modeling and Analysis (8 papers), Service-Oriented Architecture and Web Services (8 papers) and Advanced Software Engineering Methodologies (4 papers). Frank Puhlmann collaborates with scholars based in Germany. Frank Puhlmann's co-authors include Mathias Weske, Andreas Meyer and Nico Herzberg and has published in prestigious journals such as The Lancet Planetary Health and EMISA FORUM.

In The Last Decade

Frank Puhlmann

8 papers receiving 125 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 Puhlmann 133 120 102 19 13 10 150
Birgit Korherr 173 1.3× 185 1.5× 71 0.7× 17 0.9× 15 1.2× 8 214
Barbara von Halle 109 0.8× 108 0.9× 90 0.9× 41 2.2× 16 1.2× 6 191
Mark H. Linehan 85 0.6× 99 0.8× 51 0.5× 24 1.3× 10 0.8× 7 126
Kevin Göser 114 0.9× 134 1.1× 51 0.5× 10 0.5× 9 0.7× 8 140
George Koliadis 125 0.9× 132 1.1× 78 0.8× 14 0.7× 12 0.9× 15 162
Peiwei Mi 190 1.4× 116 1.0× 87 0.9× 34 1.8× 30 2.3× 14 236
Alireza Pourshahid 108 0.8× 121 1.0× 49 0.5× 19 1.0× 12 0.9× 11 169
Gerd Gröner 106 0.8× 55 0.5× 100 1.0× 32 1.7× 11 0.8× 15 153
Peter Massuthe 193 1.5× 181 1.5× 87 0.9× 43 2.3× 7 0.5× 13 232
Kristian Bisgaard Lassen 164 1.2× 193 1.6× 87 0.9× 28 1.5× 26 2.0× 11 224

Countries citing papers authored by Frank Puhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Puhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Puhlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Puhlmann. A scholar is included among the top collaborators of Frank Puhlmann 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 Puhlmann. Frank Puhlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026