Skyler Speakman

52 total papers · 507 total citations
23 papers, 181 citations indexed

About

Skyler Speakman is a scholar working on Artificial Intelligence, Epidemiology and Biophysics. According to data from OpenAlex, Skyler Speakman has authored 23 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Epidemiology and 4 papers in Biophysics. Recurrent topics in Skyler Speakman's work include Anomaly Detection Techniques and Applications (10 papers), Cell Image Analysis Techniques (3 papers) and Data-Driven Disease Surveillance (3 papers). Skyler Speakman is often cited by papers focused on Anomaly Detection Techniques and Applications (10 papers), Cell Image Analysis Techniques (3 papers) and Data-Driven Disease Surveillance (3 papers). Skyler Speakman collaborates with scholars based in United States, South Africa and Sweden. Skyler Speakman's co-authors include Daniel B. Neill, Edward McFowland, Kush R. Varshney, Celia Cintas, Dennis Wei, Supriyo Chakraborty, Karthikeyan Natesan Ramamurthy, Girmaw Abebe Tadesse, William Ogallo and Komminist Weldemariam and has published in prestigious journals such as Computer, Pattern Recognition Letters and Journal of Computational and Graphical Statistics.

In The Last Decade

Skyler Speakman

19 papers receiving 161 citations

Author Peers

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

Author						Papers	Cites
Skyler Speakman	103	36	34	18	15	23	181
Gregg Willcox	78 0.8×	14 0.4×	19 0.6×	14 0.8×	19 1.3×	22	246
Malaikannan Sankarasubbu	182 1.8×	7 0.2×	7 0.2×	14 0.8×	14 0.9×	11	273
Nidhi Parikh	64 0.6×	33 0.9×	3 0.1×	37 2.1×	13 0.9×	25	227
K. S. M. Tozammel Hossain	105 1.0×	68 1.9×	3 0.1×	7 0.4×	8 0.5×	15	231
Daniel Malinsky	76 0.7×	20 0.6×	17 0.5×	4 0.2×	2 0.1×	22	276
Xiaolei Huang	134 1.3×	22 0.6×	3 0.1×	13 0.7×	8 0.5×	24	269
Marco Postiglione	111 1.1×	24 0.7×	2 0.1×	8 0.4×	15 1.0×	31	270
Bing He	105 1.0×	16 0.4×	5 0.1×	7 0.4×	17 1.1×	28	250
Gal Yona	67 0.7×	20 0.6×	14 0.4×	2 0.1×	5 0.3×	11	168
Braden Soper	161 1.6×	23 0.6×	2 0.1×	3 0.2×	31 2.1×	16	279

Countries citing papers authored by Skyler Speakman

Since Specialization

Citations

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

Fields of papers citing papers by Skyler Speakman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skyler Speakman

This figure shows the co-authorship network connecting the top 25 collaborators of Skyler Speakman. A scholar is included among the top collaborators of Skyler Speakman 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 Skyler Speakman. Skyler Speakman 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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