Hope Schroeder

638 total citations · 1 hit paper
10 papers, 347 citations indexed

About

Hope Schroeder is a scholar working on Artificial Intelligence, Sociology and Political Science and Safety Research. According to data from OpenAlex, Hope Schroeder has authored 10 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 2 papers in Safety Research. Recurrent topics in Hope Schroeder's work include Topic Modeling (3 papers), Ethics and Social Impacts of AI (2 papers) and Qualitative Research Methods and Ethics (1 paper). Hope Schroeder is often cited by papers focused on Topic Modeling (3 papers), Ethics and Social Impacts of AI (2 papers) and Qualitative Research Methods and Ethics (1 paper). Hope Schroeder collaborates with scholars based in United States, Singapore and Netherlands. Hope Schroeder's co-authors include Ziv Epstein, Laura Herman, Neil Leach, Aaron Hertzmann, Amy Smith, Memo Akten, Alex Pentland, Olga Russakovsky, Hany Farid and Morgan R. Frank and has published in prestigious journals such as Science, interactions and ArXiv.org.

In The Last Decade

Hope Schroeder

5 papers receiving 330 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Art and the science of generative AI

2023 314 citations Ziv Epstein, Aaron Hertzmann et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hope Schroeder United States	4	114	58	55	52	40	10	347
Robert Mahari United States	3	108 0.9×	58 1.0×	49 0.9×	51 1.0×	38 0.9×	6	328
Amy Smith United Kingdom	2	104 0.9×	55 0.9×	49 0.9×	49 0.9×	38 0.9×	3	317
Memo Akten United Kingdom	3	125 1.1×	62 1.1×	55 1.0×	50 1.0×	55 1.4×	4	370
Katy Ilonka Gero United States	11	225 2.0×	54 0.9×	43 0.8×	42 0.8×	38 0.9×	22	438
Harmanpreet Kaur United States	10	230 2.0×	110 1.9×	74 1.3×	45 0.9×	52 1.3×	35	547
Rudy Boonekamp Netherlands	4	95 0.8×	31 0.5×	32 0.6×	83 1.6×	14 0.3×	8	308
Zana Buçinca United States	6	279 2.4×	185 3.2×	47 0.9×	106 2.0×	19 0.5×	12	471
Martin Schuessler Germany	6	164 1.4×	117 2.0×	47 0.9×	43 0.8×	75 1.9×	10	330
Qian Pan United States	8	152 1.3×	98 1.7×	30 0.5×	22 0.4×	21 0.5×	22	274
Dan Conway United States	7	91 0.8×	41 0.7×	33 0.6×	10 0.2×	27 0.7×	15	318

Countries citing papers authored by Hope Schroeder

Since Specialization

Citations

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

Fields of papers citing papers by Hope Schroeder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hope Schroeder

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Schroeder, Hope, et al.. (2025). Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review. 1–20. 3 indexed citations

2.

Schroeder, Hope, et al.. (2025). Disclosure without Engagement: An Empirical Review of Positionality Statements at FAccT. 1195–1210.

3.

Schroeder, Hope, et al.. (2025). Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks. ArXiv.org.

4.

Schroeder, Hope, et al.. (2025). The State of Large Language Models in HCI Research: Workshop Report. interactions. 32(1). 8–9.

5.

Hwang, Angel Hsing‐Chi, et al.. (2025). Scale, Engage, or Both?: Potential and Perils of Applying Large Language Models in Interview and Conversation-Based Research. VTechWorks (Virginia Tech). 95–98.

6.

Schroeder, Hope, et al.. (2025). Large Language Models in Qualitative Research: Uses, Tensions, and Intentions. 1–17. 10 indexed citations

7.

Schroeder, Hope, Ziv Epstein, Simon T. Perrault, et al.. (2024). LLMs as Research Tools: Applications and Evaluations in HCI Data Work. IT University Of Copenhagen (IT University of Copenhagen). 1–7. 17 indexed citations

8.

Schroeder, Hope, et al.. (2024). Fora: A corpus and framework for the study of facilitated dialogue. 13985–14001.

9.

Schroeder, Hope, et al.. (2023). Location-based AR for Social Justice: Case Studies, Lessons, and Open Challenges. 1–10. 3 indexed citations

10.

Epstein, Ziv, Aaron Hertzmann, Memo Akten, et al.. (2023). Art and the science of generative AI. Science. 380(6650). 1110–1111. 314 indexed citations breakdown →

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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