Fabian Lang

899 citations
44 papers · 369 · h-index 11

Impact in

Papers in

Fabian Lang

43 papers receiving 359 citations

Peers

Fabian Lang
Comparison fields: 5 of 82
  • Psychiatry and Mental health 160
  • Management Science and Operations Research 51
  • Clinical Psychology 67
  • Management Information Systems 28
  • Industrial and Manufacturing Engineering 31
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Robert Zimmermann Austria
Sanja Andrić Petrović Serbia
Michael Ball United Kingdom
James Welch United Kingdom
Anat Ben-Simon Israel
Gavin Ng United States
Michał Jarkiewicz Poland
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Sarah Fabi Germany
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Citations per field
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Citations per year

Countries citing papers authored by Fabian Lang

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 201428
3 201427
4 201523
5 201521
6
[Description of a sample of 300 MADRS scales on depressive patients].
198721
7 201712
8
[Study of the E. A. T., a self-evaluation case in anorexia in a control population and in a sample of anorectics].
198712
9 201511
10
[SCL 90 R in a sample of French-speaking subjects free of psychiatric disorders].
199410
11 201710
12 20128
13 20167
14 20157
15 20126
16 20116
17 20136
18 20176
19 20165
20 20105

About Fabian Lang

Fabian Lang is a scholar working on Psychiatry and Mental health, Management Science and Operations Research, Clinical Psychology, Artificial Intelligence and Philosophy, having authored 44 papers that have together received 369 indexed citations. Recurring topics across this work include Auction Theory and Applications (13 papers), Schizophrenia research and treatment (13 papers), Multi-Agent Systems and Negotiation (9 papers), Psychiatric care and mental health services (6 papers), Mental Health and Psychiatry (6 papers), Logic, Reasoning, and Knowledge (4 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Personality Disorders and Psychopathology (2 papers). The work is most often cited by research in Psychiatry and Mental health (160 citations), Management Science and Operations Research (51 citations), Clinical Psychology (67 citations), Management Information Systems (28 citations) and Industrial and Manufacturing Engineering (31 citations). Fabian Lang has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Markus Jäger, Thomas Becker, Andréas Fink, Markus Kösters, Sebastian Walther, Silke Lang, Katharina Stegmayer, Tobias Brandt, Jacques Pellet and Thomas G. Schulze. Their work appears in journals such as Journal of the Association for Information Systems, Psychopathology, Psychiatry Research, Group Decision and Negotiation and European Psychiatry.

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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