@article {849,
	title = {A Survey on Visualizations for Musical Data},
	journal = {Computer Graphics Forum},
	year = {2020},
	abstract = {Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non-expert users in data analysis and in gaining new knowledge.
This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the
visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill
specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute
novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing
with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our
overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in
the future.},
	doi = {10.1111/cgf.13905},
	author = {Khulusi, Richard and Kusnick, Jakob and Meinecke, Christofer and Christina Gillmann and Focht, Josef and J{\"a}nicke, Stefan}
}
@conference {837,
	title = {Visual Exploration of Musicians and Institutions},
	booktitle = {EADH 2018: Data in Digital Humanities 2018},
	year = {2018},
	month = {12/2018},
	publisher = {EADH},
	organization = {EADH},
	address = {Galway Ireland},
	abstract = {Prosopography is a tool for humanities scholars to analyze common characteristics of a historical group, and prosopographical databases have been a particular focus of recent works. The latter example has been the basis for developing various visualizations to investigate various research questions facilitating a closer look at musician{\textquoteright}s biographies and their commonalities. J{\"a}nicke et al. presented MusikerProfiling, a visual analytics system to extract musicians with similar careers and biographical characteristics. Khulusi and J{\"a}nicke outlined a system giving a distant reading view on the biographies of around 30.000 musicians. Albeit these works give an appropriate view on the musicians biographies, they only support investigating certain research questions. One reason is that some meta-data remains unused, e.g., the affiliations of musicians to (118) musical institutions, which became a subject of interest to our collaborating musicologists. In this paper, we present a visualization that helps analyzing the relationships between musicians belonging to musical institutions, and furthermore, our system allows for observing the evolution of 114 different musical professions. Our approach diverges from J{\"a}nicke et al.{\textquoteright}s social network visualization  as we foster a multifaceted analysis of musicians by arranging related musicians in a temporal context depending on their professions, relationships and institutions.}
}
@conference {dh2017-1,
	title = {Untangling the Social Network of Musicians},
	booktitle = {Conference Abstracts of the Digital Humanities 2017},
	year = {2017},
	author = {J{\"a}nicke, Stefan and Focht, Josef}
}
@article {TVCG-24,
	title = {Interactive Visual Profiling of Musicians},
	journal = {Visualization and Computer Graphics, IEEE Transactions on},
	volume = {22},
	number = {1},
	year = {2016},
	month = {Jan},
	pages = {200-209},
	keywords = {journal},
	issn = {1077-2626},
	author = {J{\"a}nicke, Stefan and Focht, Josef and Gerik Scheuermann}
}
