Michael Spitzer

951 citations
48 papers · 385 · h-index 11

Impact in

Papers in

Michael Spitzer

42 papers receiving 334 citations

Peers

Michael Spitzer
Comparison fields: 5 of 120
  • Music 63
  • Human-Computer Interaction 54
  • Health Informatics 5
  • Cognitive Neuroscience 65
  • Computer Vision and Pattern Recognition 57
Replace Satinder P. Gill with:
Satinder P. Gill United Kingdom
Rocco Zaccagnino Italy
K. Meenakshi India
Anna Jordanous United Kingdom
Gareth Dylan Smith United Kingdom
Ricardo Ribeiro Portugal
Jacob Nielsen Denmark
Amalia de Götzen Denmark
太一 湯淺
Marek Miłosz Poland
Michael Spitzer relative to Satinder P. Gill United Kingdom Satinder P. Gill's profile →
Citations per field
00.5×5.7×
Satinder P. Gill · 1×
Citations per year

Countries citing papers authored by Michael Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200741
2 198635
3 200530
4 202025
5
Music as Philosophy: Adorno and Beethoven's Late Style
200621
6 202321
7 201719
8 200616
9 201815
10 201815
11 200313
12 200410
13 201710
14 201610
15
BLASTing proteomes, yielding phylogenies.
20039
16 19969
17 20147
18 20187
19 20206
20 20105

About Michael Spitzer

Michael Spitzer is a scholar working on Music, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Molecular Biology and Social Psychology, having authored 48 papers that have together received 385 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (9 papers), Neuroscience and Music Perception (7 papers), Diverse Music Education Insights (6 papers), Augmented Reality Applications (6 papers), Virtual Reality Applications and Impacts (4 papers), Mobile Learning in Education (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Music (63 citations), Human-Computer Interaction (54 citations), Health Informatics (5 citations), Cognitive Neuroscience (65 citations) and Computer Vision and Pattern Recognition (57 citations). Michael Spitzer has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Paul Cullen, Stefan Lorkowski, Georg Fuellen, Martin Ebner, Michael Schnoor, K. Stolle, Sigal Zilcha‐Mano, Itai Dattner, Alexander Stocker and Ceenu George. Their work appears in journals such as Music Analysis, Journal of the Royal Musical Association, Frontiers in Psychiatry, Bioinformatics and IEEE Transactions on Professional Communication.

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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