Barbara Kump

47 papers receiving 824 citations

Peers

Barbara Kump
Comparison fields: 5 of 109
  • Computer Science Applications 106
  • Human Factors and Ergonomics 38
  • Business and International Management 32
  • Strategy and Management 177
  • Communication 81
Replace Paul Lefrère with:
Paul Lefrère United Kingdom
Dirk Basten Germany
Luke Houghton Australia
Angeliki Poulymenakou Greece
Mathews Nkhoma Vietnam
René Jorna Netherlands
Judy McKay Australia
M. Gordon Hunter Canada
Stefano Za Italy
Claire R. McInerney United States
Barbara Kump relative to Paul Lefrère United Kingdom Paul Lefrère's profile →
Citations per field
00.5×10×14.7×
Paul Lefrère · 1×
Citations per year

Countries citing papers authored by Barbara Kump

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Kump

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara Kump, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara Kump Line = papers co-authored together Barbara Kump links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018144
2 200890
3 201263
4 200854
5 200951
6 202134
7 201530
8 200930
9 201028
10 201225
11 202224
12 201023
13 202321
14 200920
15 202119
16 202019
17 201319
18 202018
19 201017
20 202115

About Barbara Kump

Barbara Kump is a scholar working on Artificial Intelligence, Organizational Behavior and Human Resource Management, Strategy and Management, Management Information Systems and Information Systems and Management, having authored 51 papers that have together received 887 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (10 papers), Business Process Modeling and Analysis (8 papers), Management and Organizational Studies (7 papers), Innovative Teaching and Learning Methods (6 papers), Knowledge Management and Sharing (5 papers), Innovation and Knowledge Management (5 papers), Corporate Management and Leadership (4 papers) and Innovative Education and Learning Practices (4 papers). The work is most often cited by research in Computer Science Applications (106 citations), Human Factors and Ergonomics (38 citations), Business and International Management (32 citations), Strategy and Management (177 citations) and Communication (81 citations). Barbara Kump has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Tobias Ley, Stefanie Lindstaedt, Alexander Keßler, Kristin Knipfer, Ulrike Creß, Christin Seifert, Dietrich Albert, Michael Granitzer, Wolfgang Kienreich and Christian Fikar. Their work appears in journals such as Business Strategy and the Environment, Journal of Cleaner Production, Environmental Innovation and Societal Transitions, European Journal of Obstetrics & Gynecology and Reproductive Biology and Lecture notes in computer science.

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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