Michael Liebmann

524 total citations
11 papers, 345 citations indexed

About

Michael Liebmann is a scholar working on Finance, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Michael Liebmann has authored 11 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Finance, 5 papers in Management Science and Operations Research and 4 papers in Artificial Intelligence. Recurrent topics in Michael Liebmann's work include Financial Markets and Investment Strategies (7 papers), Stock Market Forecasting Methods (5 papers) and Auditing, Earnings Management, Governance (4 papers). Michael Liebmann is often cited by papers focused on Financial Markets and Investment Strategies (7 papers), Stock Market Forecasting Methods (5 papers) and Auditing, Earnings Management, Governance (4 papers). Michael Liebmann collaborates with scholars based in Germany and United States. Michael Liebmann's co-authors include Dirk Neumann, Michael Hagenau, Alexei G. Orlov, Matthias Hauser, Andreas Korwitz, Brigitte Voit, Hartmut Komber, Doris Pospiech, Liane Häußler and Dieter Jehnichen and has published in prestigious journals such as Decision Support Systems, International Review of Financial Analysis and Macromolecular Chemistry and Physics.

In The Last Decade

Michael Liebmann

10 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Liebmann Germany	8	214	117	112	108	38	11	345
Marc-André Mittermayer Switzerland	4	190 0.9×	98 0.8×	127 1.1×	97 0.9×	23 0.6×	7	307
Hiroki Sakaji Japan	10	172 0.8×	101 0.9×	143 1.3×	76 0.7×	25 0.7×	94	353
Evangelos Stavroulakis Greece	6	179 0.8×	138 1.2×	54 0.5×	112 1.0×	91 2.4×	8	348
Anna Pomeranets United States	4	121 0.6×	48 0.4×	134 1.2×	45 0.4×	30 0.8×	6	260
Christian González-Martel Spain	8	165 0.8×	137 1.2×	63 0.6×	108 1.0×	20 0.5×	14	388
Tamal Datta Chaudhuri India	10	128 0.6×	158 1.4×	25 0.2×	61 0.6×	18 0.5×	47	308
Alejandro Lopez-Lira United States	6	109 0.5×	71 0.6×	62 0.6×	101 0.9×	72 1.9×	14	263
Kamil Żbikowski Poland	3	102 0.5×	60 0.5×	35 0.3×	30 0.3×	37 1.0×	3	211
Irene Aldridge United States	7	124 0.6×	140 1.2×	29 0.3×	158 1.5×	25 0.7×	20	270

Countries citing papers authored by Michael Liebmann

Since Specialization

Citations

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

Fields of papers citing papers by Michael Liebmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Liebmann

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

All Works

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11 of 11 papers shown

Liebmann, Michael, Alexei G. Orlov, & Dirk Neumann. (2016). The tone of financial news and the perceptions of stock and CDS traders. International Review of Financial Analysis. 46. 159–175. 11 indexed citations

Pospiech, Doris, Andreas Korwitz, Hartmut Komber, et al.. (2015). Biobased Aliphatic Polyesters with DOPO Substituents for Enhanced Flame Retardancy. Macromolecular Chemistry and Physics. 216(13). 1447–1461. 21 indexed citations

Liebmann, Michael, Alexei G. Orlov, & Dirk Neumann. (2014). The Tone of Financial News and the Perceptions of Stock and CDS Traders. SSRN Electronic Journal.

Liebmann, Michael, et al.. (2013). Early Warning of Impending Oil Crises Using the Predictive Power of Online News Stories. 1512–1521. 13 indexed citations

Hagenau, Michael, Matthias Hauser, Michael Liebmann, & Dirk Neumann. (2013). Reading All the News at the Same Time: Predicting Mid-term Stock Price Developments Based on News Momentum. 1279–1288. 11 indexed citations

Hagenau, Michael, Michael Liebmann, & Dirk Neumann. (2013). Automated news reading: Stock price prediction based on financial news using context-capturing features. Decision Support Systems. 55(3). 685–697. 230 indexed citations

Liebmann, Michael, et al.. (2012). Towards an Oil Crisis Early Warning System based on Absolute News Volume. International Conference on Information Systems. 2 indexed citations

Liebmann, Michael, Michael Hagenau, & Dirk Neumann. (2012). Information Processing in Electronic Markets: Measuring Subjective Interpretation Using Sentiment Analysis. International Conference on Information Systems. 9 indexed citations

Hagenau, Michael, et al.. (2012). Automated News Reading: Stock Price Prediction Based on Financial News Using Context-Specific Features. 1040–1049. 36 indexed citations

10.

Liebmann, Michael, Michael Hagenau, Matthias Häußler, & Dirk Neumann. (2011). Effects Behind Words: Quantifying Qualitative Information in Corporate Announcements. SSRN Electronic Journal. 1 indexed citations

11.

Liebmann, Michael. (1986). Structural Organization in the Serine Proteases. Enzyme. 36(1-2). 115–140. 11 indexed citations

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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