Robert Wilt

770 total citations · 1 hit paper
8 papers, 372 citations indexed

About

Robert Wilt is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Robert Wilt has authored 8 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Robert Wilt's work include Neurological disorders and treatments (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neural Engineering (4 papers). Robert Wilt is often cited by papers focused on Neurological disorders and treatments (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Neural Engineering (4 papers). Robert Wilt collaborates with scholars based in United States, United Kingdom and Netherlands. Robert Wilt's co-authors include Philip A. Starr, Ro’ee Gilron, Simon Little, David A. Borton, Jill L. Ostrem, Ian O. Bledsoe, Timothy Denison, Juan Ansó, Václav Křemen and Maria S. Yaroshinsky and has published in prestigious journals such as Nature Biotechnology, Sensors and Experimental Neurology.

In The Last Decade

Robert Wilt

7 papers receiving 369 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease

2021 192 citations Ro’ee Gilron, Simon Little et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Wilt United States	7	273	212	139	38	36	8	372
Greydon Gilmore Canada	11	200 0.7×	74 0.3×	75 0.5×	35 0.9×	18 0.5×	32	296
Chiara Palmisano Germany	11	337 1.2×	175 0.8×	125 0.9×	66 1.7×	55 1.5×	35	459
Christopher L. Pulliam United States	8	238 0.9×	135 0.6×	136 1.0×	197 5.2×	12 0.3×	15	423
Valeria Dibilio Italy	13	260 1.0×	71 0.3×	84 0.6×	73 1.9×	30 0.8×	34	410
A. Boose Germany	10	172 0.6×	120 0.6×	109 0.8×	70 1.8×	68 1.9×	10	299
Ilana Erikh Israel	8	337 1.2×	51 0.2×	131 0.9×	46 1.2×	28 0.8×	10	469
Rens Verhagen Netherlands	11	400 1.5×	304 1.4×	144 1.0×	42 1.1×	62 1.7×	14	503
Maria Letizia Caminiti Italy	10	179 0.7×	64 0.3×	47 0.3×	99 2.6×	27 0.8×	11	341
Amol P. Yadav United States	8	119 0.4×	125 0.6×	110 0.8×	45 1.2×	75 2.1×	13	276
Vibhash D. Sharma United States	11	248 0.9×	96 0.5×	54 0.4×	32 0.8×	36 1.0×	33	370

Countries citing papers authored by Robert Wilt

Since Specialization

Citations

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

Fields of papers citing papers by Robert Wilt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Wilt

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

1.

Ansó, Juan, Carina R. Oehrn, Matthew N. Petrucci, et al.. (2022). Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience. Journal of Neural Engineering. 19(2). 26025–26025. 32 indexed citations

2.

Wilt, Robert, Ro’ee Gilron, Juan Ansó, et al.. (2021). Embedded adaptive deep brain stimulation for cervical dystonia controlled by motor cortex theta oscillations. Experimental Neurology. 345. 113825–113825. 27 indexed citations

3.

Provenza, Nicole R., Jonathan S. Calvert, Ro’ee Gilron, et al.. (2021). Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method. Cell Reports Methods. 1(2). 100010–100010. 17 indexed citations

4.

Little, Simon, et al.. (2021). Using cortico-basal ganglia network physiology for chronic embedded adaptive DBS in movement disorders. Brain stimulation. 14(6). 1726–1726.

5.

Gilron, Ro’ee, Simon Little, Robert Wilt, et al.. (2021). Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease. Nature Biotechnology. 39(9). 1078–1085. 192 indexed citations breakdown →

6.

Gilron, Ro’ee, et al.. (2021). Sleep-Aware Adaptive Deep Brain Stimulation Control: Chronic Use at Home With Dual Independent Linear Discriminate Detectors. Frontiers in Neuroscience. 15. 732499–732499. 40 indexed citations

7.

Peng, Yuwei, Rimona S. Weil, Louise‐Ann Leyland, et al.. (2021). Computer-vision based method for quantifying rising from chair in Parkinson's disease patients. Intelligence-Based Medicine. 6. 100046–100046. 20 indexed citations

8.

Peng, Yuwei, Thomas Foltynie, Rimona S. Weil, et al.. (2021). A Clinically Interpretable Computer-Vision Based Method for Quantifying Gait in Parkinson’s Disease. Sensors. 21(16). 5437–5437. 44 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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