Eva Maxfield Brown

423 total citations
10 papers, 71 citations indexed

About

Eva Maxfield Brown is a scholar working on Artificial Intelligence, Political Science and International Relations and Communication. According to data from OpenAlex, Eva Maxfield Brown has authored 10 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Political Science and International Relations and 1 paper in Communication. Recurrent topics in Eva Maxfield Brown's work include Natural Language Processing Techniques (2 papers), Social Media and Politics (1 paper) and Electoral Systems and Political Participation (1 paper). Eva Maxfield Brown is often cited by papers focused on Natural Language Processing Techniques (2 papers), Social Media and Politics (1 paper) and Electoral Systems and Political Participation (1 paper). Eva Maxfield Brown collaborates with scholars based in United States, Switzerland and Russia. Eva Maxfield Brown's co-authors include Rory Donovan-Maiye, Caleb K. Chan, Calysta Yan, Julie A. Theriot, Nathalie Gaudreault, Mary M. Maleckar, Theo Knijnenburg, Liya Ding, Rick Fright and R P Ford and has published in prestigious journals such as Journal of Applied Psychology, PLoS Computational Biology and Value in Health.

In The Last Decade

Eva Maxfield Brown

8 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Maxfield Brown United States	4	14	10	9	8	8	10	71
Manda Wilson United States	3	8 0.6×		8 0.9×		4 0.5×	4	36
Omid Ghasemi Australia	6	1 0.1×	5 0.5×	20 2.2×	8 1.0×	5 0.6×	16	93
T. James Switzerland	4		14 1.4×		3 0.4×	4 0.5×	12	74
Frederic A. Mosher	2		6 0.6×	6 0.7×	11 1.4×	55 6.9×	3	142
Christina K. Pikas United States	4		4 0.4×		3 0.4×	4 0.5×	9	51
Serafeim A. Triantafyllou Greece	7		8 0.8×	2 0.2×	2 0.3×	71 8.9×	24	133
Margaret Chmiel United States	3		3 0.3×		6 0.8×	10 1.3×	3	43
Mário Rui Gomes Portugal	2		5 0.5×		4 0.5×	19 2.4×	4	44
Z. Y. Zhang China	4		4 0.4×	16 1.8×	1 0.1×	7 0.9×	11	85
Mustafa Murat İnceoğlu Türkiye	5		2 0.2×	1 0.1×	2 0.3×	13 1.6×	18	54

Countries citing papers authored by Eva Maxfield Brown

Since Specialization

Citations

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

Fields of papers citing papers by Eva Maxfield Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Maxfield Brown. 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 Eva Maxfield Brown. The network helps show where Eva Maxfield Brown may publish in the future.

Co-authorship network of co-authors of Eva Maxfield Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maxfield Brown. A scholar is included among the top collaborators of Eva Maxfield Brown 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 Eva Maxfield Brown. Eva Maxfield Brown 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.

Brown, Eva Maxfield, et al.. (2025). Collecting Qualitative Data at Scale with Large Language Models: A Case Study. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–27. 2 indexed citations

2.

Brown, Eva Maxfield, et al.. (2023). Speakerbox: Few-Shot Learning for SpeakerIdentification with Transformers. The Journal of Open Source Software. 8(83). 5132–5132. 1 indexed citations

3.

Donovan-Maiye, Rory, Eva Maxfield Brown, Caleb K. Chan, et al.. (2022). A deep generative model of 3D single-cell organization. PLoS Computational Biology. 18(1). e1009155–e1009155. 20 indexed citations

4.

Brown, Eva Maxfield & Nicholas Weber. (2022). Councils in Action: Automating the Curation of Municipal Governance Data for Research. Proceedings of the Association for Information Science and Technology. 59(1). 23–31. 1 indexed citations

5.

Brown, Eva Maxfield, et al.. (2021). Council Data Project: Software for Municipal DataCollection, Analysis, and Publication. The Journal of Open Source Software. 6(68). 3904–3904. 3 indexed citations

6.

Re, Vincent Lo, et al.. (2019). IN1 THE INCREASED RISKS OF NON-HEPATIC CANCERS AMONG HEPATITIS C VIRUS (HCV) INFECTED PATIENTS: A POPULATION-BASED COHORT STUDY IN THE U.S.. Value in Health. 22. S40–S40. 3 indexed citations

7.

Brown, Eva Maxfield. (2019). Managing Manifests and Distributing Datasets. Zenodo (CERN European Organization for Nuclear Research).

8.

Brown, Eva Maxfield. (2015). Introduction. Callaloo. 38(2). 378–378.

9.

Brown, Eva Maxfield, et al.. (1990). Computer polygraphic system for infants at risk for sudden infant death syndrome (SIDS).. PubMed. 13(4). 188–91. 6 indexed citations

10.

Brown, Eva Maxfield. (1968). Influence of training, method, and relationship of the halo effect.. Journal of Applied Psychology. 52(3). 195–199. 35 indexed citations

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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