Tom Neubert

1.3k citations
39 papers · 555 · h-index 13

Impact in

    • Biometric Identification and Security
    • Face recognition and analysis
    • Digital Media Forensic Detection
    • Face and Expression Recognition
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Steganography and Watermarking Techniques

Papers in

Tom Neubert

37 papers receiving 537 citations

Peers

Tom Neubert
Comparison fields: 5 of 58
  • Signal Processing 269
  • Computer Vision and Pattern Recognition 391
  • Atmospheric Science 51
  • Neurology 40
  • Artificial Intelligence 97
Replace Kuang-Yu Chang with:
Kuang-Yu Chang Taiwan
Alper Koz Türkiye
Ruoxi Xiang China
Yanli Zhang China
Chaorong Li China
A. Sophia Koepke Germany
R. Moddemeijer Netherlands
Bo Qiu China
John J. Lipor United States
Yang Mu United States
Tom Neubert relative to Kuang-Yu Chang Taiwan Kuang-Yu Chang's profile →
Citations per field
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Kuang-Yu Chang · 1×
Citations per year

Countries citing papers authored by Tom Neubert

Since Specialization
Citations

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

Fields of papers citing papers by Tom Neubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201873
3 201752
4 201747
5 201743
6 202132
7 201426
8 200722
9 201820
10 201918
11 202015
12 202114
13 201214
14 20198
15 20227
16 20196
17 20196
18 20226
19 20205
20 20195

About Tom Neubert

Tom Neubert is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Signal Processing, Aerospace Engineering and Spectroscopy, having authored 39 papers that have together received 555 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (12 papers), Atmospheric Ozone and Climate (11 papers), Calibration and Measurement Techniques (7 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Face recognition and analysis (7 papers), Biometric Identification and Security (6 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Spectroscopy and Laser Applications (5 papers). The work is most often cited by research in Signal Processing (269 citations), Computer Vision and Pattern Recognition (391 citations), Atmospheric Science (51 citations), Neurology (40 citations) and Artificial Intelligence (97 citations). Tom Neubert has collaborated with scholars based in Germany, Netherlands and Poland. Frequent co-authors include Jana Dittmann, Andrey Makrushin, Mario Hildebrandt, Christian Kraetzer, Claus Vielhauer, F. Olschewski, Jörn Ungermann, A. Heitzer, Markus E. Kasper and Jan Czerwiński. Their work appears in journals such as Atmospheric measurement techniques, IEEE Transactions on Nuclear Science, Atmospheric chemistry and physics, Research in Developmental Disabilities and Chemosphere.

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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