Michael Beyerlein

2.5k total citations
62 papers, 1.7k citations indexed

About

Michael Beyerlein is a scholar working on Social Psychology, Communication and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Beyerlein has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 12 papers in Communication and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Beyerlein's work include Team Dynamics and Performance (17 papers), Knowledge Management and Sharing (12 papers) and Advanced MRI Techniques and Applications (10 papers). Michael Beyerlein is often cited by papers focused on Team Dynamics and Performance (17 papers), Knowledge Management and Sharing (12 papers) and Advanced MRI Techniques and Applications (10 papers). Michael Beyerlein collaborates with scholars based in United States, Germany and United Kingdom. Michael Beyerlein's co-authors include Nikos K. Logothetis, Kamalesh Kumar, Santiago Canals, Soo Jeoung Han, C. Michael Wittmann, Timothy G. Hawkins, Douglas A. Johnson, Yusuke Murayama, Hellmut Merkle and Frances A. Kennedy and has published in prestigious journals such as Journal of Applied Psychology, NeuroImage and Nature Methods.

In The Last Decade

Michael Beyerlein

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Beyerlein United States 23 436 348 335 255 253 62 1.7k
David Henderson Australia 16 1.9k 4.4× 680 2.0× 365 1.1× 125 0.5× 152 0.6× 34 3.1k
Sally L. Pimlott United Kingdom 22 119 0.3× 179 0.5× 136 0.4× 54 0.2× 360 1.4× 71 3.2k
Elizabeth D. Rouse United States 15 274 0.6× 204 0.6× 213 0.6× 63 0.2× 65 0.3× 30 1.1k
Robert McClelland United Kingdom 26 259 0.6× 116 0.3× 186 0.6× 51 0.2× 21 0.1× 107 1.9k
Hongseok Oh South Korea 20 364 0.8× 168 0.5× 468 1.4× 231 0.9× 4 0.0× 67 2.1k
Claudia Martínez Gómez Mexico 13 410 0.9× 95 0.3× 319 1.0× 66 0.3× 9 0.0× 16 1.5k
José Guimón Spain 26 51 0.1× 215 0.6× 400 1.2× 29 0.1× 44 0.2× 126 2.3k
Robert Birnbaum United States 26 603 1.4× 236 0.7× 383 1.1× 108 0.4× 31 0.1× 95 3.5k
Laura Huang United States 21 595 1.4× 295 0.8× 244 0.7× 140 0.5× 34 0.1× 36 3.4k
Edward S. Greenberg United States 23 382 0.9× 212 0.6× 112 0.3× 67 0.3× 11 0.0× 71 1.6k

Countries citing papers authored by Michael Beyerlein

Since Specialization
Citations

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

Fields of papers citing papers by Michael Beyerlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Beyerlein

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Beyerlein. A scholar is included among the top collaborators of Michael Beyerlein 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 Beyerlein. Michael Beyerlein 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
1.
Spielvogel, Clemens P., Michael Beyerlein, Erdem Yıldız, et al.. (2024). Systemic Metabolic and Volumetric Assessment via Whole-Body [18F]FDG-PET/CT: Pancreas Size Predicts Cachexia in Head and Neck Squamous Cell Carcinoma. Cancers. 16(19). 3352–3352. 2 indexed citations
2.
Xie, Lei, Michael Beyerlein, & Soo Jeoung Han. (2021). Revealing deep interaction patterns of team learning processes through video-based interactive analysis. International Journal of Human Resources Development and Management. 21(4). 267–267. 2 indexed citations
3.
Handwerker, Jonas, Michael Beyerlein, Franck Vincent, et al.. (2019). A CMOS NMR needle for probing brain physiology with high spatial and temporal resolution. Nature Methods. 17(1). 64–67. 30 indexed citations
4.
Beyerlein, Michael, et al.. (2015). Exploring Knowledge Management in Higher Education Institutions: Processes, Influences, and Outcomes. The Academy of Educational Leadership Journal. 19(3). 289. 13 indexed citations
5.
Forgács, Attila, Michael Beyerlein, Martin E. Maier, et al.. (2013). New Calcium‐Selective Smart Contrast Agents for Magnetic Resonance Imaging. Chemistry - A European Journal. 19(52). 18011–18026. 17 indexed citations
6.
Mamedov, Ilgar, Jörn Engelmann, Oxana Eschenko, Michael Beyerlein, & Nikos K. Logothetis. (2011). Dual-functional probes towards in vivo studies of brain connectivity and plasticity. Chemical Communications. 48(22). 2755–2757. 14 indexed citations
7.
Eschenko, Oxana, HC Evrard, Ricardo M. Neves, et al.. (2011). Tracing of noradrenergic projections using manganese-enhanced MRI. NeuroImage. 59(4). 3252–3265. 18 indexed citations
8.
Mishra, Anurag, Almut Schüz, Jörn Engelmann, et al.. (2011). Biocytin-Derived MRI Contrast Agent for Longitudinal Brain Connectivity Studies. ACS Chemical Neuroscience. 2(10). 578–587. 8 indexed citations
9.
Eschenko, Oxana, Santiago Canals, Irina Simanova, et al.. (2009). Mapping of functional brain activity in freely behaving rats during voluntary running using manganese-enhanced MRI: Implication for longitudinal studies. NeuroImage. 49(3). 2544–2555. 75 indexed citations
10.
Canals, Santiago, Michael Beyerlein, Hellmut Merkle, & Nikos K. Logothetis. (2009). Functional MRI Evidence for LTP-Induced Neural Network Reorganization. Current Biology. 19(5). 398–403. 82 indexed citations
11.
Maier, Martin E., et al.. (2008). Synthesis and characterization of a smart contrast agent sensitive to calcium. Chemical Communications. 3444–3444. 50 indexed citations
12.
Canals, Santiago, Michael Beyerlein, Yusuke Murayama, & Nikos K. Logothetis. (2008). Electric stimulation fMRI of the perforant pathway to the rat hippocampus. Magnetic Resonance Imaging. 26(7). 978–986. 52 indexed citations
13.
Canals, Santiago, et al.. (2007). Magnetic resonance imaging of cortical connectivity in vivo. NeuroImage. 40(2). 458–472. 60 indexed citations
14.
Beyerlein, Michael, et al.. (2006). Innovation through Collaboration. 12. 20 indexed citations
15.
Beyerlein, Michael. (2003). Beyond teams : building the collaborative organization. 60 indexed citations
16.
Beyerlein, Michael, et al.. (2001). How Tapping Informal Leaders Can Improve Organizational Performance.. 28(1). 1–11. 2 indexed citations
17.
Beyerlein, Michael, et al.. (2000). An investigation of factors affecting test equating in latent trait theory.. PubMed. 1(1). 25–43. 1 indexed citations
18.
Hayslip, Bert, Carolyn Miller, Michael Beyerlein, et al.. (1996). Employee Age and Perceptions of Work in Self-Managing and Traditional Work Groups. The International Journal of Aging and Human Development. 42(4). 291–312. 3 indexed citations
19.
Beyerlein, Michael & Douglas A. Johnson. (1994). Theories of self-managing work teams. JAI Press eBooks. 19 indexed citations
20.
Beyerlein, Michael. (1982). Community Development in Family Housing: Identifying Promoters and Inhibitors.. The Journal of College and University Student Housing. 12(2). 8–13.

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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