Thomas Hofmann

736 papers receiving 41.0k citations

Thomas Hofmann's Hit Papers

Probabilistic Latent Semantic Indexing 2017 · 663 citations
6630+9+18Years since publication50010001.5k2.0k2.5k

Peers

Thomas Hofmann
Comparison fields: 5 of 232
  • Sensory Systems 5.6k
  • Biochemistry 3.1k
  • Nutrition and Dietetics 7.6k
  • Food Science 6.7k
  • Artificial Intelligence 9.4k
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Citations per field
00.5×10×15×21.0×
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Citations per year

Countries citing papers authored by Thomas Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 764 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probabilistic latent semantic indexing
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19992508
2
Unsupervised Learning by Probabilistic Latent Semantic Analysis
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20011627
3
Direct activation of human TRPC6 and TRPC3 channels by diacylglycerol
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19991264
4
Large Margin Methods for Structured and Interdependent Output Variables
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20051226
5
Latent semantic models for collaborative filtering
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2004961
6
Support Vector Machines for Multiple-Instance Learning
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2002939
7
Support vector machine learning for interdependent and structured output spaces
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2004831
8
Probabilistic Latent Semantic Analysis
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2013700
9
Probabilistic Latent Semantic Indexing
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2017663
10
Subunit composition of mammalian transient receptor potential channels in living cells
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2002621
11 2005489
12
Beyond sliding windows: Object localization by efficient subwindow search
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2008470
13 2011436
14
Nature’s Chemical Signatures in Human Olfaction: A Foodborne Perspective for Future Biotechnology
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2014428
15 2004407
16 2002353
17 2000351
18 2003322
19
Hidden Markov support vector machines
2003304
20 1997299

About Thomas Hofmann

Thomas Hofmann is a scholar working on Nutrition and Dietetics, Molecular Biology, Food Science, Artificial Intelligence and Biomedical Engineering, having authored 764 papers that have together received 42.7k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (141 papers), Advanced Chemical Sensor Technologies (75 papers), Fermentation and Sensory Analysis (69 papers), Phytochemicals and Antioxidant Activities (56 papers), Olfactory and Sensory Function Studies (54 papers), Coffee research and impacts (43 papers), Advanced Glycation End Products research (38 papers) and Tea Polyphenols and Effects (37 papers). The work is most often cited by research in Sensory Systems (5.6k citations), Biochemistry (3.1k citations), Nutrition and Dietetics (7.6k citations), Food Science (6.7k citations) and Artificial Intelligence (9.4k citations). Thomas Hofmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ioannis Tsochantaridis, Peter Schieberle, Thomas Gudermann, Yasemin Altün, Andreas Dunkel, Thorsten Joachims, Günter Schultz, Michael Schaefer, Timo D. Stark and Oliver Frank. Their work appears in journals such as Journal of Agricultural and Food Chemistry, European Food Research and Technology, Molecular Nutrition & Food Research, Food Chemistry and Annals of the New York Academy of Sciences.

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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