Alexandra Schofield

566 citations
13 papers · 344 · h-index 8

Impact in

Papers in

Alexandra Schofield

12 papers receiving 323 citations

Peers

Alexandra Schofield
Comparison fields: 5 of 73
  • General Social Sciences 93
  • Communication 45
  • Health Informatics 7
  • Artificial Intelligence 166
  • Computer Science Applications 12
Replace Pooja Kherwa with:
Pooja Kherwa India
Drew Conway United States
Christopher Rytting United States
Matthew J. Denny United States
Felix Hamborg Germany
Jonathan Stray United States
Keith Stevens United States
Bastian Haarmann Germany
Christopher Kotfila United States
Esin Durmus United States
Alexandra Schofield relative to Pooja Kherwa India Pooja Kherwa's profile →
Citations per field
00.5×6.4×
Pooja Kherwa · 1×
Citations per year

Countries citing papers authored by Alexandra Schofield

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Schofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Alexandra Schofield, 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 Alexandra Schofield Line = papers co-authored together Alexandra Schofield links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016125
2 2017116
3 201721
4 202119
5 201613
6 202012
7 202011
8 20179
9 20137
10
Locally private bayesian inference for count models
20195
11
A Creative Improvisational Companion Based on Idiomatic Harmonic Bricks.
20124
12 20222
13 20250

About Alexandra Schofield

Alexandra Schofield is a scholar working on Artificial Intelligence, General Social Sciences, Computer Vision and Pattern Recognition, Information Systems and Management and Cognitive Neuroscience, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Computational and Text Analysis Methods (4 papers), Natural Language Processing Techniques (4 papers), Music and Audio Processing (2 papers), Music Technology and Sound Studies (2 papers), Privacy-Preserving Technologies in Data (2 papers), Neuroscience and Music Perception (2 papers) and Academic integrity and plagiarism (1 paper). The work is most often cited by research in General Social Sciences (93 citations), Communication (45 citations), Health Informatics (7 citations), Artificial Intelligence (166 citations) and Computer Science Applications (12 citations). Alexandra Schofield has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include David Mimno, Måns Magnusson, Jack Hessel, Laure Thompson, Thomas Davidson, Dirk Hovy, Emily M. Bender, Robert Keller, John R. Elliott and Attapol Rutherford. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computer Music Journal, Poetics, Proceedings of the ACM on Human-Computer Interaction and Findings of the Association for Computational Linguistics: ACL 2022.

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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