Thomas Hoch

537 citations
33 papers · 400 · h-index 9

Impact in

Papers in

Thomas Hoch

26 papers receiving 386 citations

Peers

Thomas Hoch
Comparison fields: 5 of 79
  • Nuclear and High Energy Physics 178
  • Statistical and Nonlinear Physics 80
  • Oral Surgery 21
  • Cognitive Neuroscience 62
  • Orthopedics and Sports Medicine 23
Replace Alexander C. Kalloniatis with:
Alexander C. Kalloniatis Australia
Miguel Martı́n-Landrove Venezuela
R. Anglani Italy
Bruno Loureiro Switzerland
A. Himmel United States
A. Aurisano United States
Elena Floriani France
Federico Carminati Switzerland
Jesús Casado‐Pascual Spain
Milan Rajković Serbia
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Citations per field
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Alexander C. Kalloniatis · 1×
Citations per year

Countries citing papers authored by Thomas Hoch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992169
2 200342
3 200239
4 201519
5 199417
6
An ensemble learning approach for the Kaggle taxi travel time prediction challenge
201515
7 200513
8 201513
9 200312
10 20248
11 20197
12
Optimal control of a spin system acting on a single quantum bit
20085
13 20225
14 20065
15 20044
16 20113
17 20233
18 20233
19 20173
20 20232

About Thomas Hoch

Thomas Hoch is a scholar working on Strategy and Management, Cognitive Neuroscience, Industrial and Manufacturing Engineering, Management Information Systems and Statistical and Nonlinear Physics, having authored 33 papers that have together received 400 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Corporate Governance and Management (6 papers), Business Process Modeling and Analysis (5 papers), Sports Analytics and Performance (5 papers), Sports Performance and Training (5 papers), stochastic dynamics and bifurcation (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (178 citations), Statistical and Nonlinear Physics (80 citations), Oral Surgery (21 citations), Cognitive Neuroscience (62 citations) and Orthopedics and Sports Medicine (23 citations). Thomas Hoch has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include D.G. Madland, Gregor K. Wenning, Klaus Obermayer, Ady Palti, Arnold Baca, Christoph Herwig, Roland Leser, Klaus Obermayer, Bernhard Moser and Thomas Mannel. Their work appears in journals such as Neurocomputing, International Journal of Performance Analysis in Sport, Physics Reports, European Journal of Neuroscience and PLoS ONE.

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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