Jochen Mau

940 total citations
25 papers, 682 citations indexed

About

Jochen Mau is a scholar working on Statistics and Probability, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jochen Mau has authored 25 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Jochen Mau's work include Statistical Methods and Inference (5 papers), Statistical Methods in Clinical Trials (5 papers) and Bayesian Methods and Mixture Models (4 papers). Jochen Mau is often cited by papers focused on Statistical Methods and Inference (5 papers), Statistical Methods in Clinical Trials (5 papers) and Bayesian Methods and Mixture Models (4 papers). Jochen Mau collaborates with scholars based in Germany, Netherlands and Switzerland. Jochen Mau's co-authors include Daniel Mandallaz, Albrecht Molsberger, János Winkler, Markku Kaste, Yong Mei, Hans‐Christoph Diener, Rüdiger J. Seitz, T Hackländer, Ferdinand Binkofski and H.-J. Freund and has published in prestigious journals such as Stroke, Biometrics and Pain.

In The Last Decade

Jochen Mau

21 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Mau Germany 12 177 138 102 99 82 25 682
Pascal Minini France 16 28 0.2× 162 1.2× 66 0.6× 57 0.6× 18 0.2× 39 1.1k
Chul Kim South Korea 16 79 0.4× 201 1.5× 55 0.5× 12 0.1× 32 0.4× 83 987
Xikui Wang Canada 11 58 0.3× 5 0.0× 28 0.3× 44 0.4× 4 0.0× 39 429
Stefan Englert Germany 16 85 0.5× 3 0.0× 97 1.0× 9 0.1× 11 0.1× 34 721
Sima Ahadieh United States 7 23 0.1× 12 0.1× 28 0.3× 36 0.4× 32 0.4× 9 381
Sebastian Ueckert Sweden 11 134 0.8× 5 0.0× 14 0.1× 23 0.2× 35 0.4× 34 461
Yushun Lin United States 13 15 0.1× 5 0.0× 38 0.4× 18 0.2× 21 0.3× 15 835
Jenny Häggström Sweden 14 78 0.4× 3 0.0× 28 0.3× 27 0.3× 45 0.5× 44 461
Jill L. King United States 15 19 0.1× 9 0.1× 42 0.4× 20 0.2× 9 0.1× 54 646
Frank Weber Germany 13 21 0.1× 14 0.1× 114 1.1× 9 0.1× 31 0.4× 34 953

Countries citing papers authored by Jochen Mau

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Mau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Mau

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Mau. A scholar is included among the top collaborators of Jochen Mau 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 Jochen Mau. Jochen Mau 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.
Mau, Jochen. (2020). Functional biodynamics of human-body system: A mathematical axiomatics with functional learning and aging in life cycle. Cognitive Neurodynamics. 14(5). 579–590. 1 indexed citations
2.
Mau, Jochen. (2016). ON REVERSE ENGINEERING OF HUMAN BODY SYSTEM. 622–635.
3.
Kronenwett, Ralf, Ingmar Bruns, Jochen Mau, et al.. (2011). The Level of Minimal Residual Disease in the Bone Marrow of Patients with Multiple Myeloma before High-Dose Therapy and Autologous Blood Stem Cell Transplantation Is an Independent Predictive Parameter. Biology of Blood and Marrow Transplantation. 18(3). 423–431.e3. 36 indexed citations
4.
Mau, Jochen, et al.. (2008). Biometrische Aspekte der Planung und Durchführung nicht-randomisierter vergleichender klinischer Prüfungen. DMW - Deutsche Medizinische Wochenschrift. 111(41). 1569–1573.
5.
Mei, Yong, Hans‐Christoph Diener, Markku Kaste, & Jochen Mau. (2007). Long-Term Outcome as Function of Blood Pressure in Acute Ischemic Stroke and Effects of Thrombolysis. Cerebrovascular Diseases. 24(4). 349–354. 7 indexed citations
6.
Mei, Yong, Hans‐Christoph Diener, Markku Kaste, & Jochen Mau. (2005). Characteristics of Blood Pressure Profiles as Predictors of Long-Term Outcome After Acute Ischemic Stroke. Stroke. 36(12). 2619–2625. 95 indexed citations
7.
Molsberger, Albrecht, et al.. (2004). Designing an acupuncture study to meet evidence-based medical criteria: methodological considerations for logistic design and development of treatment interventions arising from the German randomized controlled acupuncture trial on chronic shoulder pain (GRASP).. PubMed. 9(8). 405–11. 9 indexed citations
8.
Mau, Jochen, Alexandra Behneke, N Behneke, et al.. (2004). Randomized multicenter comparison of 2 IMZ and 4 TPS screw implants supporting bar-retained overdentures in 425 edentulous mandibles. Journal of Prosthetic Dentistry. 92(1). 71–71. 14 indexed citations
9.
Mau, Jochen, Alexandra Behneke, N Behneke, et al.. (2002). Randomized multicenter comparison of two coatings of intramobile cylinder implants in 313 partially edentulous mandibles followed up for 5 years. Clinical Oral Implants Research. 13(5). 477–487. 27 indexed citations
10.
11.
Binkofski, Ferdinand, et al.. (2001). Recovery of Motor Functions following Hemiparetic Stroke: A Clinical and Magnetic Resonance-Morphometric Study. Cerebrovascular Diseases. 11(3). 273–281. 81 indexed citations
12.
Mandallaz, Daniel & Jochen Mau. (1996). COMPARISON OF DIFFERENT METHODS OF DECISION MAKING IN BIOEQUIVALENCE ASSESSMENTS. 42. 213–222. 5 indexed citations
13.
Mau, Jochen. (1988). A statistical assessment of clinical equivalence. Statistics in Medicine. 7(12). 1267–1277. 26 indexed citations
14.
Mau, Jochen. (1988). A Generalization of a Nonparametric Test for Stochastically Ordered Distributions to Censored Survival Data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 50(3). 403–412. 9 indexed citations
15.
Mau, Jochen. (1986). On a Graphical Method for the Detection of Time-Dependent Effects of Covariates in Survival Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 35(3). 245–245. 26 indexed citations
16.
Mau, Jochen. (1986). Nonparametric estimation of the integrated intensity of an unobservable transition in a Markov illness-death process. Stochastic Processes and their Applications. 21(2). 275–289. 1 indexed citations
17.
Mau, Jochen & B. Steinke. (1986). A counting process approach to the analysis of the course of non‐Hodgkin's lymphoma. Statistics in Medicine. 5(5). 491–495. 5 indexed citations
18.
Mau, Jochen. (1985). Statistical modelling via partitioned counting processes. Journal of Statistical Planning and Inference. 12. 171–176. 3 indexed citations
19.
Grieve, Andrew P., et al.. (1983). Bayesian Approach to Bioequivalence Assessment: An Example. Journal of Pharmaceutical Sciences. 72(10). 1178–1181. 37 indexed citations
20.
Mandallaz, Daniel & Jochen Mau. (1981). Comparison of Different Methods for Decision-Making in Bioequivalence Assessment. Biometrics. 37(2). 213–213. 110 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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