Michael Nischt

13 total papers · 458 total citations
6 papers, 35 citations indexed

About

Michael Nischt is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Social Psychology. According to data from OpenAlex, Michael Nischt has authored 6 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Human-Computer Interaction and 1 paper in Social Psychology. Recurrent topics in Michael Nischt's work include Advanced Image and Video Retrieval Techniques (2 papers), Artificial Intelligence in Games (1 paper) and Music Technology and Sound Studies (1 paper). Michael Nischt is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Artificial Intelligence in Games (1 paper) and Music Technology and Sound Studies (1 paper). Michael Nischt collaborates with scholars based in Germany and United Kingdom. Michael Nischt's co-authors include Rahul Swaminathan, Christine Kühnel, Matthias Geier, Jens Ahrens, Sascha Spors, Gilles Bailly, Jörg Müller, Florian Alt, Robert Walter and Helmut Prendinger and has published in prestigious journals such as .

In The Last Decade

Michael Nischt

6 papers receiving 33 citations

Author Peers

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

Author						Papers	Cites
Michael Nischt	22	13	9	7	6	6	35
Emmanuel Fléty	23 1.0×	6 0.5×	12 1.3×	3 0.4×		5	30
E. Gutierrez Mlot	9 0.4×	23 1.8×	7 0.8×	3 0.4×		5	32
Sriharsha Koundinya	38 1.7×	8 0.6×	4 0.4×	3 0.4×	3 0.5×	6	76
H. M. Hu	10 0.5×	8 0.6×		14 2.0×	10 1.7×	5	40
H. Zhou	5 0.2×	7 0.5×	2 0.2×	4 0.6×	6 1.0×	6	22
Takuya Kobayashi	42 1.9×	12 0.9×	10 1.1×	3 0.4×	1 0.2×	8	67
Paria Mehrani	56 2.5×	8 0.6×	17 1.9×	3 0.4×		6	73
Olexa Bilaniuk	40 1.8×	5 0.4×	2 0.2×	15 2.1×	13 2.2×	9	60
Alex Tamkin	20 0.9×	18 1.4×	3 0.3×	1 0.1×	9 1.5×	7	57
Dennis Saluäär	11 0.5×	22 1.7×	13 1.4×	6 0.9×	1 0.2×	4	224

Countries citing papers authored by Michael Nischt

Since Specialization

Citations

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

Fields of papers citing papers by Michael Nischt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Nischt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nischt. A scholar is included among the top collaborators of Michael Nischt 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 Nischt. Michael Nischt 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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