Barbara D. Klein

89 papers receiving 1.7k citations

Peers

Barbara D. Klein
Comparison fields: 5 of 138
  • Instrumentation 154
  • Information Systems and Management 247
  • Management Information Systems 210
  • Astronomy and Astrophysics 303
  • Social Psychology 354
Replace Rachel Kennedy with:
Rachel Kennedy Australia
John A. Hughes United Kingdom
Will Sutherland United States
Thomas Peters Germany
Scott D. Johnson United States
Ronald K. Maier Austria
Carsten S. Østerlund United States
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Philip Michael Sadler United States
Michelle A. Borkin United States
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Citations per year

Countries citing papers authored by Barbara D. Klein

Since Specialization
Citations

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

Fields of papers citing papers by Barbara D. Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Barbara D. Klein, 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 D. Klein Line = papers co-authored together Barbara D. Klein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013259
2 2000224
3 2008109
4 199794
5 201782
6
The Effects of Flow on Learning Outcomes in an Online Information Management Course.
200977
7 202369
8 201459
9 200157
10 199946
11 201244
12 200937
13 201736
14 201734
15 201333
16 198331
17 198731
18
WHEN DO USERS DETECT INFORMATION QUALITY PROBLEMS ON THE WORLD WIDE WEB
200231
19 201031
20 201928

About Barbara D. Klein

Barbara D. Klein is a scholar working on Management Science and Operations Research, Instrumentation, Management Information Systems, Astronomy and Astrophysics and Demography, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Quality and Management (21 papers), Adaptive optics and wavefront sensing (13 papers), Astronomy and Astrophysical Research (13 papers), Big Data and Business Intelligence (12 papers), Stellar, planetary, and galactic studies (9 papers), Social Robot Interaction and HRI (8 papers), Technology Use by Older Adults (7 papers) and Flow Experience in Various Fields (6 papers). The work is most often cited by research in Instrumentation (154 citations), Information Systems and Management (247 citations), Management Information Systems (210 citations), Astronomy and Astrophysics (303 citations) and Social Psychology (354 citations). Barbara D. Klein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dale L. Goodhue, Glenda Anne Cook, Salvatore T. March, Yi Maggie Guo, Donald F. Rossin, Wendy Moyle, Young Kyun Ro, Cindy Jones, Marie Louise Cooke and Elizabeth Beattie. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, Information Resources Management Journal, Astronomy and Astrophysics and Omega.

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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