Andreas Hellmann

1.8k citations
66 papers · 1.3k · h-index 19

Impact in

  • Accounting top 5%
    • Auditing, Earnings Management, Governance
  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

Andreas Hellmann

59 papers receiving 1.2k citations

Peers

Andreas Hellmann
Comparison fields: 5 of 148
  • Accounting 201
  • Genetics 333
  • General Decision Sciences 15
  • Strategy and Management 121
  • Management Information Systems 69
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Hellmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Hellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010183
2 2001122
3 201998
4 202095
5 201478
6 200650
7 201545
8 201043
9 202039
10 202033
11 201332
12 201732
13 202129
14 201427
15 201624
16 201623
17 201521
18 202020
19 202019
20 201617

About Andreas Hellmann

Andreas Hellmann is a scholar working on Accounting, Management Information Systems, Information Systems and Management, Strategy and Management and Cognitive Neuroscience, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (15 papers), Accounting and Organizational Management (6 papers), Corporate Finance and Governance (5 papers), Identification and Quantification in Food (5 papers), Forensic and Genetic Research (5 papers), Plant Molecular Biology Research (4 papers), Experimental Behavioral Economics Studies (4 papers) and Plant Reproductive Biology (4 papers). The work is most often cited by research in Accounting (201 citations), Genetics (333 citations), General Decision Sciences (15 citations), Strategy and Management (121 citations) and Management Information Systems (69 citations). Andreas Hellmann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Chris Patel, Walther Parson, Michael Wittig, Hermann Schmitter, Héctor Perera, Julian Kleine‐Borgmann, W. Hecht, Ulrike Bingel, Katharina Schmidt and Adrian M. T. Linacre. Their work appears in journals such as Journal of Behavioral and Experimental Finance, Forensic Science International Genetics, Planta, Respiratory Research and Journal of Plant Physiology.

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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