Peter Tischer

541 citations
29 papers · 310 · h-index 10

Impact in

Papers in

    • Image and Signal Denoising Methods 8
    • Medical Image Segmentation Techniques 5
    • Advanced Data Compression Techniques 5
    • Image Retrieval and Classification Techniques 4
    • Image Enhancement Techniques 3
    • Blind Source Separation Techniques 4

Peter Tischer

28 papers receiving 272 citations

Peers

Peter Tischer
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 230
  • Signal Processing 61
  • Applied Psychology 21
  • Artificial Intelligence 86
  • General Psychology 3
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Citations per field
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Citations per year

Countries citing papers authored by Peter Tischer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Tischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Peter Tischer, 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 Peter Tischer Line = papers co-authored together Peter Tischer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TMW - a new method for lossless image compression
199782
2 199334
3 199726
4
History-based blending of image sub-predictors
199721
5
TMWLego----An Object Oriented Image Modelling Framework
200117
6 200217
7 198517
8 198715
9 200712
10 20059
11 20089
12 19858
13 19837
14
Determining the Trustworthiness of a Case-Based Reasoning Solution
20045
15 19865
16 20164
17 20023
18 19853
19 20222
20
A similarity measure based on causal neighbours and mutual information
20032

About Peter Tischer

Peter Tischer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Clinical Psychology, Applied Psychology and Artificial Intelligence, having authored 29 papers that have together received 310 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (5 papers), Personality Disorders and Psychopathology (5 papers), Psychological Testing and Assessment (5 papers), Advanced Data Compression Techniques (5 papers), Blind Source Separation Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Signal Processing (61 citations), Applied Psychology (21 citations), Artificial Intelligence (86 citations) and General Psychology (3 citations). Peter Tischer has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Bernd T. Meyer, Torsten Seemann, Catherine Green, Theodore Millon, John Levine, Michael H. Antoni, Benjamin Meyer, Hong Ren Wu, Bernd Meyer and Ron Sacks‐Davis. Their work appears in journals such as Journal of Personality Assessment, ACM Transactions on Mathematical Software, The Computer Journal, RMIT Research Repository (RMIT University Library) and SIAM Journal on Scientific and Statistical Computing.

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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