Fabian Lang

870 total citations
44 papers, 362 citations indexed

About

Fabian Lang is a scholar working on Psychiatry and Mental health, Management Science and Operations Research and Clinical Psychology. According to data from OpenAlex, Fabian Lang has authored 44 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 13 papers in Management Science and Operations Research and 12 papers in Clinical Psychology. Recurrent topics in Fabian Lang's work include Schizophrenia research and treatment (14 papers), Auction Theory and Applications (13 papers) and Mental Health and Psychiatry (12 papers). Fabian Lang is often cited by papers focused on Schizophrenia research and treatment (14 papers), Auction Theory and Applications (13 papers) and Mental Health and Psychiatry (12 papers). Fabian Lang collaborates with scholars based in Germany, Switzerland and France. Fabian Lang's co-authors include Markus Jäger, Thomas Becker, Andréas Fink, Markus Kösters, Sebastian Walther, Katharina Stegmayer, Silke Lang, Jacques Pellet, Tobias Brandt and Thomas G. Schulze and has published in prestigious journals such as European Journal of Operational Research, Psychopharmacology and Psychiatry Research.

In The Last Decade

Fabian Lang

43 papers receiving 350 citations

Peers

Fabian Lang
Comparison fields: 5 of 86
  • Psychiatry and Mental health 181
  • Clinical Psychology 90
  • Philosophy 63
  • Experimental and Cognitive Psychology 53
  • Management Science and Operations Research 51
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Davide Morelli United Kingdom
Randall Billington United States
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Robert Zimmermann Austria View profile →
Citations per field, relative to Fabian Lang
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Citations per year, relative to Fabian Lang
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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-authorship network of co-authors of Fabian Lang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 12
4 4
5 7
6 5
7 3
8 21
9 11
10 1
11
Decision Support for Negotiation Protocol Selection: A Machine Learning Approach Based on Artificial Neural Networks
2
12 27
13 3
14 6
15 2
16 4
17 3
18
Kombinatorische Auktionen als Instrument zur Verhandlung von Verträgen mit interdependenten Eigenschaften
2
19 6
20
Serious Gaming for the Evaluation of Market Mechanisms.
4

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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