Daniel R. Kramer

5.1k total citations · 1 hit paper
61 papers, 3.2k citations indexed

About

Daniel R. Kramer is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Daniel R. Kramer has authored 61 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Neurology, 26 papers in Cellular and Molecular Neuroscience and 22 papers in Cognitive Neuroscience. Recurrent topics in Daniel R. Kramer's work include Neurological disorders and treatments (24 papers), Neuroscience and Neural Engineering (18 papers) and EEG and Brain-Computer Interfaces (18 papers). Daniel R. Kramer is often cited by papers focused on Neurological disorders and treatments (24 papers), Neuroscience and Neural Engineering (18 papers) and EEG and Brain-Computer Interfaces (18 papers). Daniel R. Kramer collaborates with scholars based in United States, Ireland and Canada. Daniel R. Kramer's co-authors include Ifije E. Ohiorhenuan, Tatsuhiro Fujii, Charles Y. Liu, Spencer Kellis, Brian Lee, Richard A. Andersen, M Salas, Luke Bashford, William J. Mack and Kelsie Pejsa and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel R. Kramer

58 papers receiving 3.2k citations

Hit Papers

Interplay between Cortical Spreading Depolarization and S... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel R. Kramer United States 16 1.5k 996 745 400 386 61 3.2k
Ifije E. Ohiorhenuan United States 10 1.2k 0.8× 855 0.9× 683 0.9× 372 0.9× 413 1.1× 25 2.9k
Tatsuhiro Fujii United States 7 1.3k 0.9× 709 0.7× 428 0.6× 375 0.9× 373 1.0× 9 2.6k
Sebastian Major Germany 28 1.5k 1.0× 1.0k 1.0× 614 0.8× 687 1.7× 418 1.1× 54 3.0k
Jonathan P. Miller United States 32 1.1k 0.8× 1.1k 1.1× 1.0k 1.4× 456 1.1× 302 0.8× 102 3.2k
Jan Vesper Germany 35 2.1k 1.4× 1.2k 1.3× 640 0.9× 177 0.4× 276 0.7× 133 4.0k
Freimut D. Juengling Germany 29 830 0.6× 578 0.6× 597 0.8× 433 1.1× 380 1.0× 76 2.6k
Kurtis I. Auguste United States 34 910 0.6× 1.1k 1.2× 695 0.9× 670 1.7× 882 2.3× 68 4.3k
David Song United States 27 1.4k 0.9× 799 0.8× 523 0.7× 286 0.7× 498 1.3× 101 2.7k
Peiyu Huang China 32 1.3k 0.9× 645 0.6× 1.1k 1.5× 422 1.1× 276 0.7× 209 3.5k
Jing Yang China 28 1.6k 1.1× 478 0.5× 806 1.1× 315 0.8× 329 0.9× 171 2.8k

Countries citing papers authored by Daniel R. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Kramer. 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 Daniel R. Kramer. The network helps show where Daniel R. Kramer may publish in the future.

Co-authorship network of co-authors of Daniel R. Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Kramer. A scholar is included among the top collaborators of Daniel R. Kramer 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 Daniel R. Kramer. Daniel R. Kramer 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
1.
Satzer, David, et al.. (2025). Aperiodic activity as a biomarker of seizures and neuromodulation. Brain stimulation. 18(3). 738–744. 2 indexed citations
2.
Kramer, Daniel R., et al.. (2024). Comparison of beta peak detection algorithms for data-driven deep brain stimulation programming strategies in Parkinson’s disease. npj Parkinson s Disease. 10(1). 150–150. 1 indexed citations
3.
Satzer, David, et al.. (2024). Neurophysiologic Characteristics of the Anterior Nucleus of the Thalamus during Deep Brain Stimulation Surgery for Epilepsy. Stereotactic and Functional Neurosurgery. 102(5). 293–307.
4.
Ojemann, Steven, et al.. (2023). Pilot Study to Investigate the Use of In-Clinic Sensing to Identify Optimal Stimulation Parameters for Deep Brain Stimulation Therapy in Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 27(3). 509–519. 10 indexed citations
6.
Nune, George, Daniel R. Kramer, Morgan B. Lee, et al.. (2020). Gamma-band modulation in the human amygdala during reaching movements. Neurosurgical FOCUS. 49(1). E4–E4. 3 indexed citations
7.
Kramer, Daniel R., Morgan B. Lee, Ali Tafreshi, et al.. (2020). Beta-band power modulation in the human hippocampus during a reaching task. Journal of Neural Engineering. 17(3). 36022–36022. 10 indexed citations
8.
Lee, Morgan B., et al.. (2019). Clinical neuroprosthetics: Today and tomorrow. Journal of Clinical Neuroscience. 68. 13–19. 15 indexed citations
9.
Kramer, Daniel R., et al.. (2019). Functional Frequency Discrimination From Cortical Somatosensory Stimulation in Humans. Frontiers in Neuroscience. 13. 832–832. 5 indexed citations
10.
Kramer, Daniel R., George Nune, Morgan B. Lee, et al.. (2019). Directional tuning during reach planning in the supramarginal gyrus using local field potentials. Journal of Clinical Neuroscience. 64. 214–219. 7 indexed citations
11.
Rāviņa, Kristīne, Daniel R. Kramer, Ben A. Strickland, et al.. (2019). Complex Revascularization for Idiopathic Intracranial Occlusive Disease with Unruptured, Fusiform Anterior Cerebral Artery and Middle Cerebral Artery Aneurysms: 3-Dimensional Operative Video. World Neurosurgery. 126. 496–496. 2 indexed citations
12.
Kramer, Daniel R., Spencer Kellis, M Salas, et al.. (2019). Technical considerations for generating somatosensation via cortical stimulation in a closed-loop sensory/motor brain-computer interface system in humans. Journal of Clinical Neuroscience. 63. 116–121. 15 indexed citations
13.
Lee, Brian, Daniel R. Kramer, M Salas, et al.. (2018). Engineering Artificial Somatosensation Through Cortical Stimulation in Humans. Frontiers in Systems Neuroscience. 12. 24–24. 56 indexed citations
14.
Salas, M, Luke Bashford, Spencer Kellis, et al.. (2018). Proprioceptive and cutaneous sensations in humans elicited by intracortical microstimulation. eLife. 7. 161 indexed citations
15.
Wen, Timothy, Daniel R. Kramer, Steven Cen, et al.. (2017). The Weekend Effect on Morbidity and Mortality Among Pediatric Epilepsy Admissions. Pediatric Neurology. 74. 24–31.e1. 3 indexed citations
16.
James, Robert F., Daniel R. Kramer, Zaid Aljuboori, et al.. (2016). Novel Treatments in Neuroprotection for Aneurysmal Subarachnoid Hemorrhage. Current Treatment Options in Neurology. 18(8). 38–38. 16 indexed citations
17.
Russin, Jonathan J., Daniel R. Kramer, D C Thomas, et al.. (2015). The importance of preoperative diagnosis of blister aneurysms. Journal of Clinical Neuroscience. 22(9). 1408–1412. 7 indexed citations
18.
Kramer, Daniel R., Casey H. Halpern, Patrick J. Connolly, Jurg L. Jaggi, & Gordon H. Baltuch. (2012). Error Reduction with Routine Checklist Use during Deep Brain Stimulation Surgery. Stereotactic and Functional Neurosurgery. 90(4). 255–259. 17 indexed citations
19.
Halpern, Casey H., et al.. (2011). Self-administered preoperative antiseptic wash to prevent postoperative infection after deep brain stimulation. American Journal of Infection Control. 40(5). 431–433. 18 indexed citations
20.
Kramer, Daniel R., et al.. (2010). Best surgical practices: a stepwise approach to the University of Pennsylvania deep brain stimulation protocol. Neurosurgical FOCUS. 29(2). E3–E3. 29 indexed citations

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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