Nicholas Skomrock

406 total citations
8 papers, 280 citations indexed

About

Nicholas Skomrock is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Nicholas Skomrock has authored 8 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Nicholas Skomrock's work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (3 papers). Nicholas Skomrock is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (3 papers). Nicholas Skomrock collaborates with scholars based in United States. Nicholas Skomrock's co-authors include Michael A. Schwemmer, David A. Friedenberg, Gaurav Sharma, Marcia Bockbrader, Jordyn E. Ting, Per B. Sederberg, Ali R. Rezai, W. Jerry Mysiw, Nicholas V. Annetta and Samuel C. Colachis and has published in prestigious journals such as Nature Medicine, PLoS ONE and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Nicholas Skomrock

8 papers receiving 280 citations

Peers

Countries citing papers authored by Nicholas Skomrock

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Skomrock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Skomrock

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Creation of an ustekinumab external control arm for Crohn’s disease using electronic health records data: A pilot study 2023 ·PLoS ONE ·Vivek A. Rudrapatna, Yao‐Wen Cheng, (unknown), (unknown), Jonathan Shih, Yongmei Shi, (unknown), B. A. Rubin, Atul J. Butte, Uma Mahadevan, Nicholas Skomrock, Ngozi Erondu, Christel Chehoud, (unknown), (unknown), Mark Curran, Najat Khan, Christopher O’Brien, Natalie A. Terry, (unknown)	7
2	Sequence-based autosomal STR characterization in four US populations using PowerSeq™ Auto/Y system 2020 ·Forensic Science International Genetics ·(unknown), Melissa Scheible, (unknown), Christopher Williams, (unknown), Rebecca S. Just, Jared Schuetter, Nicholas Skomrock, Angela Minard-Smith, (unknown), Christopher Eichman, Kelly A. Meiklejohn, Seth A. Faith	13
3	Method feasibility for cross-species testing, qualification, and validation of the Filovirus Animal Nonclinical Group anti-Ebola virus glycoprotein immunoglobulin G enzyme-linked immunosorbent assay for non-human primate serum samples 2020 ·PLoS ONE ·Nancy A. Niemuth, Thomas L. Rudge, (unknown), Michael S. Anderson, Nicholas Skomrock, (unknown), Carol L. Sabourin	9
4	Clinically Significant Gains in Skillful Grasp Coordination by an Individual With Tetraplegia Using an Implanted Brain-Computer Interface With Forearm Transcutaneous Muscle Stimulation 2019 ·Archives of Physical Medicine and Rehabilitation ·Marcia Bockbrader, Nicholas V. Annetta, David A. Friedenberg, Michael A. Schwemmer, Nicholas Skomrock, Samuel C. Colachis, Mingming Zhang, Chad Bouton, Ali R. Rezai, Gaurav Sharma, W. Jerry Mysiw	42
5	A Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent 2018 ·Frontiers in Neuroscience ·Nicholas Skomrock, Michael A. Schwemmer, Jordyn E. Ting, (unknown), Gaurav Sharma, Marcia Bockbrader, David A. Friedenberg	30
6	Dexterous Control of Seven Functional Hand Movements Using Cortically-Controlled Transcutaneous Muscle Stimulation in a Person With Tetraplegia 2018 ·Frontiers in Neuroscience ·Samuel C. Colachis, Marcia Bockbrader, Mingming Zhang, David A. Friedenberg, Nicholas V. Annetta, Michael A. Schwemmer, Nicholas Skomrock, W. Jerry Mysiw, Ali R. Rezai, Herbert S. Bresler, Gaurav Sharma	50
7	Meeting brain–computer interface user performance expectations using a deep neural network decoding framework 2018 ·Nature Medicine ·Michael A. Schwemmer, Nicholas Skomrock, Per B. Sederberg, Jordyn E. Ting, Gaurav Sharma, Marcia Bockbrader, David A. Friedenberg	113
8	Big data challenges in decoding cortical activity in a human with quadriplegia to inform a brain computer interface 2016 ·PubMed ·David A. Friedenberg, Chad Bouton, Nicholas V. Annetta, Nicholas Skomrock, Mingming Zhang, Michael A. Schwemmer, Marcia Bockbrader, W. Jerry Mysiw, Ali R. Rezai, Herbert S. Bresler, Gaurav Sharma	16

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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