Michael Gräf

716 total citations
10 papers, 507 citations indexed

About

Michael Gräf is a scholar working on Social Psychology, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Michael Gräf has authored 10 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Cognitive Neuroscience and 2 papers in Computer Networks and Communications. Recurrent topics in Michael Gräf's work include Child and Animal Learning Development (2 papers), Decision-Making and Behavioral Economics (2 papers) and Distributed and Parallel Computing Systems (2 papers). Michael Gräf is often cited by papers focused on Child and Animal Learning Development (2 papers), Decision-Making and Behavioral Economics (2 papers) and Distributed and Parallel Computing Systems (2 papers). Michael Gräf collaborates with scholars based in Germany and United States. Michael Gräf's co-authors include Peter M. Lewinsohn, Christian Unkelbach, Joseph Becker, Randy O. Frost, Arndt Bröder, Pascal J. Kieslich, David P. Bunde, Johannes Bauer, Andreas Rausch and Jens Mache and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Personality and Social Psychology Bulletin and European Journal of Social Psychology.

In The Last Decade

Michael Gräf

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Gräf Germany	6	226	187	134	107	74	10	507
Fabiano Koich Miguel Brazil	13	303 1.3×	140 0.7×	117 0.9×	88 0.8×	78 1.1×	62	575
Christopher Holmes United States	16	330 1.5×	132 0.7×	139 1.0×	81 0.8×	86 1.2×	23	657
Bogdan Zawadzki Poland	15	521 2.3×	226 1.2×	178 1.3×	68 0.6×	87 1.2×	58	816
Nic Hooper United Kingdom	13	426 1.9×	196 1.0×	172 1.3×	111 1.0×	80 1.1×	31	621
Geoffrey L. Thorpe United States	13	255 1.1×	167 0.9×	77 0.6×	55 0.5×	47 0.6×	35	437
Denise D. Davis United States	9	402 1.8×	147 0.8×	128 1.0×	53 0.5×	35 0.5×	13	549
Simona Ștefan Romania	10	353 1.6×	164 0.9×	78 0.6×	144 1.3×	54 0.7×	22	520
Tomasz P. Andrusyna United States	8	523 2.3×	182 1.0×	194 1.4×	87 0.8×	36 0.5×	12	668
Mario Antonio Reda Italy	11	332 1.5×	162 0.9×	174 1.3×	155 1.4×	49 0.7×	18	600
Arjan Berkeljon United States	6	500 2.2×	149 0.8×	146 1.1×	51 0.5×	88 1.2×	8	627

Countries citing papers authored by Michael Gräf

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gräf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gräf

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

All Works

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10 of 10 papers shown

Rausch, Andreas, Johannes Bauer, & Michael Gräf. (2022). Research on Individual Learning from Errors in the Workplace – A Literature Review and Citation Analysis. MADOC (University of Mannheim). 47–75.

Bröder, Arndt & Michael Gräf. (2018). Retrieval from memory and cue complexity both trigger exemplar-based processes in judgment. Journal of Cognitive Psychology. 30(4). 406–417. 2 indexed citations

Bröder, Arndt, Michael Gräf, & Pascal J. Kieslich. (2017). Measuring the relative contributions of rule-based and exemplar-based processes in judgment: Validation of a simple model. Judgment and Decision Making. 12(5). 491–506. 16 indexed citations

Gräf, Michael & Christian Unkelbach. (2017). Halo effects from agency behaviors and communion behaviors depend on social context: Why technicians benefit more from showing tidiness than nurses do. European Journal of Social Psychology. 48(5). 701–717. 6 indexed citations

Gräf, Michael & Christian Unkelbach. (2016). Halo Effects in Trait Assessment Depend on Information Valence. Personality and Social Psychology Bulletin. 42(3). 290–310. 38 indexed citations

Gräf, Michael & David P. Bunde. (2014). Using wrappers to simplify task parallel programming. Journal of computing sciences in colleges. 30(1). 73–79. 1 indexed citations

Bunde, David P., et al.. (2014). Parallel programming paradigms illustrated (abstract only). 722–722. 1 indexed citations

Frost, Randy O., Michael Gräf, & Joseph Becker. (1979). Self-devaluation and depressed mood.. Journal of Consulting and Clinical Psychology. 47(5). 958–962. 39 indexed citations

Lewinsohn, Peter M. & Michael Gräf. (1973). A follow-up study of persons referred for vocational rehabilitation who have suffered brain injury. Journal of Community Psychology. 1(1). 57–62. 10 indexed citations

10.

Lewinsohn, Peter M. & Michael Gräf. (1973). Pleasant activities and depression.. Journal of Consulting and Clinical Psychology. 41(2). 261–268. 394 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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