Margaret Drouhard

14 total papers · 453 total citations
11 papers, 294 citations indexed

About

Margaret Drouhard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Margaret Drouhard has authored 11 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Margaret Drouhard's work include Data Visualization and Analytics (6 papers), Topic Modeling (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Margaret Drouhard is often cited by papers focused on Data Visualization and Analytics (6 papers), Topic Modeling (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Margaret Drouhard collaborates with scholars based in United States, Chile and Canada. Margaret Drouhard's co-authors include C. Aragon, Os Keyes, Nan‐Chen Chen, Rafał Kocielnik, Jina Suh, Jesse Vig, Anamaria Crisan, Nazneen Fatema Rajani, Himanshu Zade and Lu Gan and has published in prestigious journals such as ACM Transactions on Interactive Intelligent Systems and arXiv (Cornell University).

In The Last Decade

Margaret Drouhard

10 papers receiving 284 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Margaret Drouhard	101	69	56	55	53	11	294
Nan‐Chen Chen	138 1.4×	29 0.4×	34 0.6×	68 1.2×	49 0.9×	11	270
Hope Schroeder	108 1.1×	31 0.4×	55 1.0×	37 0.7×	54 1.0×	10	315
Anton Kunnari	91 0.9×	33 0.5×	54 1.0×	23 0.4×	48 0.9×	18	303
Rahul Bhargava	48 0.5×	33 0.5×	83 1.5×	43 0.8×	32 0.6×	19	274
Md. Iftekhar Tanveer	106 1.0×	71 1.0×	43 0.8×	49 0.9×	19 0.4×	11	329
Robert Mahari	103 1.0×	26 0.4×	49 0.9×	35 0.6×	54 1.0×	6	304
Valdemar Danry	98 1.0×	67 1.0×	36 0.6×	44 0.8×	39 0.7×	17	336
Brittany Fiore-Gartland	38 0.4×	41 0.6×	65 1.2×	46 0.8×	72 1.4×	10	275
Li Lucy	161 1.6×	9 0.1×	50 0.9×	15 0.3×	29 0.5×	13	294
Hao-Fei Cheng	179 1.8×	20 0.3×	65 1.2×	30 0.5×	153 2.9×	9	324

Countries citing papers authored by Margaret Drouhard

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Drouhard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Drouhard

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

All Works

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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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