Karen Blackmon

2.6k citations
57 papers · 1.2k indexed · h-index 21
Topics
Epilepsy research and treatment (19 papers)Functional Brain Connectivity Studies (13 papers)Mosquito-borne diseases and control (7 papers)

In The Last Decade

Karen Blackmon

54 papers receiving 1.2k citations

Peers

Karen Blackmon
Comparison fields: 5 of 108
  • Cognitive Neuroscience 754
  • Psychiatry and Mental health 414
  • Radiology, Nuclear Medicine and Imaging 186
  • Pediatrics, Perinatology and Child Health 176
  • Cellular and Molecular Neuroscience 152
Replace Takuji Hayashi with:
Takuji Hayashi Japan
Martine Hoogman Netherlands
Martin D. Vestergaard United Kingdom
Michal Mikl Czechia
Christine Vidal United States
Samuel D. Carpenter United States
Júlia Miró Spain
Mai-Anh Vu United States
Anita D. Barber United States
Binyam Nardos United States
Karen Blackmon relative to Takuji Hayashi Japan Takuji Hayashi's profile →
Citations per field
00.5×3.6×
Takuji Hayashi · 1×
Citations per year

Countries citing papers authored by Karen Blackmon

Since Specialization
Citations

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

Fields of papers citing papers by Karen Blackmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Blackmon

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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7 18
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14 24
15
Decrypting cryptogenic epilepsy: semi-supervised hierarchical conditional random fields for detecting cortical lesions in MRI-negative patients
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16 20
17 34
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Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
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20 222

About Karen Blackmon

Karen Blackmon is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (19 papers), Functional Brain Connectivity Studies (13 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Cognitive Neuroscience (754 citations), Psychiatry and Mental health (414 citations) and General Decision Sciences (21 citations). Karen Blackmon has collaborated with scholars based in United States, Grenada and United Kingdom. Frequent co-authors include Orrin Devinsky, Thomas Thesen, Ruben Kuzniecky, Jihye Ryu, John G. Golfinos, Stephen M. Fleming, Heath Pardoe, William Barr, Eric Halgren and Chad Carlson. Their work appears in journals such as Nature Medicine, Neuron and Journal of Neuroscience.

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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