Karen Blackmon
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 13
- Memory and Neural Mechanisms 6
- Neurobiology of Language and Bilingualism 5
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment 19
- General Decision Sciences top 10%
-
- Mosquito-borne diseases and control 7
-
- Neuroscience and Neuropharmacology Research 6
-
- Advanced MRI Techniques and Applications 6
- Advanced Neuroimaging Techniques and Applications 6
- Co-authors
- Orrin DevinskyThomas ThesenRuben KuznieckyJihye RyuJohn G. GolfinosStephen M. FlemingHeath PardoeWilliam Barr
- Partner nations
- United StatesGrenadaUnited Kingdom
In The Last Decade
Karen Blackmon
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 754
- Psychiatry and Mental health 414
- General Decision Sciences 21
- Experimental and Cognitive Psychology 124
- Pediatrics, Perinatology and Child Health 176
Countries citing papers authored by Karen Blackmon
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
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
The 25 scholars most cited alongside Karen Blackmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 24 | |
| 15 | Decrypting cryptogenic epilepsy: semi-supervised hierarchical conditional random fields for detecting cortical lesions in MRI-negative patients | 2016 | 7 |
| 16 | 2015 | 20 | |
| 17 | 2014 | 34 | |
| 18 | 2014 | 1 | |
| 19 | Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations | 2014 | 9 |
| 20 | 2014 | 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), Mosquito-borne diseases and control (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Advanced MRI Techniques and Applications (6 papers), Memory and Neural Mechanisms (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Neurobiology of Language and Bilingualism (5 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.