Michael Liedlgruber

78 total papers · 1.6k total citations
48 papers, 1.1k citations indexed

About

Michael Liedlgruber is a scholar working on Computer Vision and Pattern Recognition, Oncology and Gastroenterology. According to data from OpenAlex, Michael Liedlgruber has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Oncology and 10 papers in Gastroenterology. Recurrent topics in Michael Liedlgruber's work include Image Retrieval and Classification Techniques (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Michael Liedlgruber is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (8 papers). Michael Liedlgruber collaborates with scholars based in Austria, Germany and United States. Michael Liedlgruber's co-authors include Andreas Uhl, Frank H. Wilhelm, Andreas Vécsei, Jens Blechert, Michael Häfner, Friedrich Wrba, Julia Reichenberger, Peter Peyk, Peter Kuppens and Bernd Resch and has published in prestigious journals such as Pain, Behaviour Research and Therapy and Sensors.

In The Last Decade

Michael Liedlgruber

48 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael Liedlgruber	238	224	224	215	203	48	1.1k
Enrique Garcia-Ceja	280 1.2×	23 0.1×	49 0.2×	134 0.6×	253 1.2×	27	976
Li-Yu Hu	36 0.2×	69 0.3×	114 0.5×	62 0.3×	47 0.2×	32	1.2k
C. J. Martin	130 0.5×	55 0.2×	75 0.3×	18 0.1×	47 0.2×	65	1.2k
Momoko Kitazawa	18 0.1×	66 0.3×	163 0.7×	27 0.1×	230 1.1×	28	1.0k
Guillaume Sacco	59 0.2×	94 0.4×	34 0.2×	58 0.3×	35 0.2×	55	992
Carl D. Marci	74 0.3×	310 1.4×	19 0.1×	16 0.1×	350 1.7×	35	1.4k
Bernadette Murphy	26 0.1×	120 0.5×	48 0.2×	40 0.2×	49 0.2×	36	1.5k
Hiroyoshi Adachi	19 0.1×	174 0.8×	29 0.1×	17 0.1×	170 0.8×	59	1.2k
Hyun Ju Kim	61 0.3×	26 0.1×	47 0.2×	63 0.3×	17 0.1×	66	1.3k
Tetyana Rocks	81 0.3×	242 1.1×	26 0.1×	55 0.3×	18 0.1×	41	1.3k

Countries citing papers authored by Michael Liedlgruber

Since Specialization

Citations

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

Fields of papers citing papers by Michael Liedlgruber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Liedlgruber

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Liedlgruber. A scholar is included among the top collaborators of Michael Liedlgruber 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 Michael Liedlgruber. Michael Liedlgruber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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