Stephen Carcieri

695 total citations
8 papers, 431 citations indexed

About

Stephen Carcieri is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Stephen Carcieri has authored 8 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Stephen Carcieri's work include Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Retinal Development and Disorders (3 papers). Stephen Carcieri is often cited by papers focused on Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Retinal Development and Disorders (3 papers). Stephen Carcieri collaborates with scholars based in United States, Italy and Canada. Stephen Carcieri's co-authors include Sheila Nirenberg, Peter E. Latham, Adam Jacobs, Jens Volkmann, Leo Verhagen, Brian Dalm, Srivatsan Pallavaram, Vibhor Krishna, Aristide Merola and Andrew P. Duker and has published in prestigious journals such as Nature, Journal of Neurophysiology and Neurosurgery.

In The Last Decade

Stephen Carcieri

8 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Carcieri United States	8	253	251	123	113	34	8	431
Tanya Sippy United States	5	398 1.6×	469 1.9×	169 1.4×	49 0.4×	35 1.0×	7	641
Murat Okatan Türkiye	6	459 1.8×	430 1.7×	70 0.6×	113 1.0×	33 1.0×	21	601
Samuel A. Ellias United States	6	171 0.7×	172 0.7×	73 0.6×	110 1.0×	37 1.1×	8	403
Julia Makarova Spain	17	504 2.0×	417 1.7×	75 0.6×	32 0.3×	31 0.9×	29	647
Christina M. Weaver United States	11	238 0.9×	316 1.3×	103 0.8×	33 0.3×	23 0.7×	23	519
Alexander O. Komendantov United States	11	304 1.2×	313 1.2×	93 0.8×	22 0.2×	32 0.9×	17	454
Uri Rokni Israel	7	438 1.7×	301 1.2×	43 0.3×	129 1.1×	43 1.3×	8	575
Jun Lian United States	7	252 1.0×	320 1.3×	37 0.3×	162 1.4×	20 0.6×	12	434
Katsunori Kitano Japan	14	364 1.4×	272 1.1×	77 0.6×	43 0.4×	123 3.6×	33	546
Javier G. Orlandi Spain	12	280 1.1×	242 1.0×	113 0.9×	20 0.2×	61 1.8×	28	500

Countries citing papers authored by Stephen Carcieri

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Carcieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Carcieri

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

Malekmohammadi, Mahsa, Sameer A. Sheth, Nader Pouratian, et al.. (2022). Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets. Journal of Neural Engineering. 19(4). 46014–46014. 13 indexed citations

2.

Merola, Aristide, Barbara Kelly Changizi, Lorenzo Rossi, et al.. (2021). New Frontiers for Deep Brain Stimulation: Directionality, Sensing Technologies, Remote Programming, Robotic Stereotactic Assistance, Asleep Procedures, and Connectomics. Frontiers in Neurology. 12. 694747–694747. 22 indexed citations

3.

Merola, Aristide, Alberto Romagnolo, Vibhor Krishna, et al.. (2020). Current Directions in Deep Brain Stimulation for Parkinson’s Disease—Directing Current to Maximize Clinical Benefit. Neurology and Therapy. 9(1). 25–41. 35 indexed citations

4.

Steigerwald, Frank, Lars Timmermann, Andrea A. Kühn, et al.. (2017). Pulse duration settings in subthalamic stimulation for Parkinson's disease. Movement Disorders. 33(1). 165–169. 40 indexed citations

5.

Volkmann, Jens, et al.. (2016). 375 DIRECT DBS. Neurosurgery. 63(Supplement 1). 211–212. 11 indexed citations

6.

Weiland, James D., Stephen Carcieri, Guanting Qiu, et al.. (2005). Nanobiolistic delivery of indicators to the living mouse retina. Journal of Neuroscience Methods. 153(1). 154–161. 17 indexed citations

7.

Carcieri, Stephen, Adam Jacobs, & Sheila Nirenberg. (2003). Classification of Retinal Ganglion Cells: A Statistical Approach. Journal of Neurophysiology. 90(3). 1704–1713. 70 indexed citations

8.

Nirenberg, Sheila, et al.. (2001). Retinal ganglion cells act largely as independent encoders. Nature. 411(6838). 698–701. 223 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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