Alexander Kaufmann

744 citations
9 papers · 483 indexed · h-index 6
Topics
University-Industry-Government Innovation Models (3 papers)Innovation and Knowledge Management (3 papers)Analytical Chemistry and Chromatography (2 papers)
Partner nations
AustriaUnited States

In The Last Decade

Alexander Kaufmann

8 papers receiving 444 citations

Peers

Alexander Kaufmann
Comparison fields: 5 of 70
  • Strategy and Management 314
  • Economics and Econometrics 190
  • Management of Technology and Innovation 134
  • Marketing 54
  • Management Science and Operations Research 49
Replace Aleksios Gotsopoulos with:
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Aurora Carneiro Zen Brazil
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Nicholas von Tunzelmann United Kingdom
Stéphane Girod United Kingdom
Eden B. Tekie South Africa
Idana Salazar Terreros Spain
Morten Fosaas Norway
Paul Knott New Zealand
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Alexander Kaufmann relative to Aleksios Gotsopoulos South Korea Aleksios Gotsopoulos's profile →
Citations per field
00.5×1.5×1.9×
Aleksios Gotsopoulos · 1×
Citations per year

Countries citing papers authored by Alexander Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kaufmann

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 6
3 8
4 12
5 392
6 1
7
Modelling Self-Organization Processes in Socio- Economic and Ecological Systems for Supporting the Adaptive Management of Forests
1
8 57
9 6

About Alexander Kaufmann

Alexander Kaufmann is a scholar working on Filtration and Separation, Management of Technology and Innovation and Strategy and Management, having authored 9 papers that have together received 483 indexed citations. Recurring topics across this work include University-Industry-Government Innovation Models (3 papers), Innovation and Knowledge Management (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Strategy and Management (314 citations), Management of Technology and Innovation (134 citations) and Business and International Management (25 citations). Alexander Kaufmann has collaborated with scholars based in Austria and United States. Frequent co-authors include Franz Tödtling, Patrick Lehner, Marlene Kienberger, Matthias Weber, Klaus Kubeczko, Thomas Pichler, Matthäus Siebenhofer, Edward J. Feser, L. MAIER and Edward M. Bergman. Their work appears in journals such as Molecules, Separation and Purification Technology and Technovation.

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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