Jack DiGiovanna

2.8k total citations · 1 hit paper
38 papers, 1.5k citations indexed

About

Jack DiGiovanna is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jack DiGiovanna has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 15 papers in Neurology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jack DiGiovanna's work include Neuroscience and Neural Engineering (13 papers), EEG and Brain-Computer Interfaces (13 papers) and Muscle activation and electromyography studies (10 papers). Jack DiGiovanna is often cited by papers focused on Neuroscience and Neural Engineering (13 papers), EEG and Brain-Computer Interfaces (13 papers) and Muscle activation and electromyography studies (10 papers). Jack DiGiovanna collaborates with scholars based in Switzerland, United States and Italy. Jack DiGiovanna's co-authors include Silvestro Micera, Grégoire Courtine, Eduardo Martin Moraud, Pavel Musienko, Lucia Friedli, Nadia Dominici, Rubia van den Brand, Simone Duis, Quentin Barraud and José C. Prı́ncipe and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Jack DiGiovanna

36 papers receiving 1.5k 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.

Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury

2012 554 citations Rubia van den Brand, Quentin Barraud et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack DiGiovanna Switzerland	16	612	580	520	430	306	38	1.5k
Yukio Nishimura Japan	26	507 0.8×	629 1.1×	867 1.7×	502 1.2×	633 2.1×	83	2.0k
Eduardo Martin Moraud Switzerland	17	573 0.9×	504 0.9×	285 0.5×	385 0.9×	251 0.8×	23	1.3k
Quentin Barraud Switzerland	15	703 1.1×	679 1.2×	305 0.6×	392 0.9×	324 1.1×	21	2.0k
Marco Capogrosso Switzerland	21	682 1.1×	813 1.4×	505 1.0×	812 1.9×	566 1.8×	51	1.9k
Michel Lemay United States	22	899 1.5×	826 1.4×	406 0.8×	661 1.5×	166 0.5×	63	1.9k
Nikolaus Wenger Germany	13	386 0.6×	272 0.5×	191 0.4×	323 0.8×	229 0.7×	26	920
Lucia Friedli Switzerland	7	661 1.1×	366 0.6×	198 0.4×	285 0.7×	222 0.7×	7	1.1k
Steve I. Perlmutter United States	22	418 0.7×	1000 1.7×	1.4k 2.6×	720 1.7×	533 1.7×	54	2.2k
Ranu Jung United States	18	199 0.3×	381 0.7×	404 0.8×	384 0.9×	106 0.3×	80	1.1k
David Guiraud France	22	151 0.2×	865 1.5×	837 1.6×	1.2k 2.9×	238 0.8×	147	1.9k

Countries citing papers authored by Jack DiGiovanna

Since Specialization

Citations

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

Fields of papers citing papers by Jack DiGiovanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack DiGiovanna

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Seepo, Sara, Divya Sain, Jack DiGiovanna, et al.. (2024). Pancreatic Cancer Action Network's SPARK: A Cloud-Based Patient Health Data and Analytics Platform for Pancreatic Cancer. JCO Clinical Cancer Informatics. 8(8). e2300119–e2300119. 4 indexed citations

Hughes, Laura D., Ginger Tsueng, Jack DiGiovanna, et al.. (2023). Addressing barriers in FAIR data practices for biomedical data. Scientific Data. 10(1). 98–98. 22 indexed citations

Bonizzato, Marco, Nicholas D. James, Natalia Pavlova, et al.. (2021). Multi-pronged neuromodulation intervention engages the residual motor circuitry to facilitate walking in a rat model of spinal cord injury. Nature Communications. 12(1). 1925–1925. 46 indexed citations

Bonizzato, Marco, Jack DiGiovanna, Polina Shkorbatova, et al.. (2018). Brain-controlled modulation of spinal circuits improves recovery from spinal cord injury. Nature Communications. 9(1). 3015–3015. 93 indexed citations

Moraud, Eduardo Martin, Joachim von Zitzewitz, Sophie Wurth, et al.. (2018). Closed-loop control of trunk posture improves locomotion through the regulation of leg proprioceptive feedback after spinal cord injury. Scientific Reports. 8(1). 76–76. 31 indexed citations

Lehnert, Erik, Anurag Sethi, Raunaq Malhotra, et al.. (2017). The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research. Cancer Research. 77(21). e3–e6. 78 indexed citations

DiGiovanna, Jack, Nadia Dominici, Lucia Friedli, et al.. (2016). Engagement of the Rat Hindlimb Motor Cortex across Natural Locomotor Behaviors. Journal of Neuroscience. 36(40). 10440–10455. 60 indexed citations

Nguyen, T. A. Khoa, Jack DiGiovanna, Samuel Cavuscens, et al.. (2016). Characterization of pulse amplitude and pulse rate modulation for a human vestibular implant during acute electrical stimulation. Journal of Neural Engineering. 13(4). 46023–46023. 23 indexed citations

DiGiovanna, Jack, T. A. Khoa Nguyen, Nils Guinand, Angélica Pérez Fornos, & Silvestro Micera. (2016). Neural Network Model of Vestibular Nuclei Reaction to Onset of Vestibular Prosthetic Stimulation. Frontiers in Bioengineering and Biotechnology. 4. 34–34. 12 indexed citations

10.

Poppendieck, Wigand, T. A. Khoa Nguyen, Wangsong Gong, et al.. (2014). Development, manufacturing and application of double-sided flexible implantable microelectrodes. Biomedical Microdevices. 16(6). 837–850. 18 indexed citations

11.

Borton, David A., Marco Bonizzato, Jack DiGiovanna, et al.. (2013). Corticospinal neuroprostheses to restore locomotion after spinal cord injury. Neuroscience Research. 78. 21–29. 37 indexed citations

12.

Brand, Rubia van den, Quentin Barraud, Jack DiGiovanna, et al.. (2012). Restoring Voluntary Control of Locomotion after Paralyzing Spinal Cord Injury. Science. 336(6085). 1182–1185. 554 indexed citations breakdown →

13.

DiGiovanna, Jack, Jacopo Carpaneto, Silvestro Micera, & Daniel M. Merfeld. (2012). Alignment of angular velocity sensors for a vestibular prosthesis. Journal of NeuroEngineering and Rehabilitation. 9(1). 14–14. 8 indexed citations

14.

Matsunaga, Atsushi, Ming Zhao, Babak Mahmoudi, et al.. (2010). Model development, testing and experimentation in a CyberWorkstation for Brain-Machine Interface research. PubMed. 2010. 4339–4342. 2 indexed citations

15.

Sanchez, Justin C., Babak Mahmoudi, Jack DiGiovanna, & José C. Prı́ncipe. (2009). Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants. Neural Networks. 22(3). 305–315. 34 indexed citations

16.

DiGiovanna, Jack, Babak Mahmoudi, J.A.B. Fortes, José C. Prı́ncipe, & Justin C. Sanchez. (2009). Coadaptive Brain–Machine Interface via Reinforcement Learning. IEEE Transactions on Biomedical Engineering. 56(1). 54–64. 130 indexed citations

17.

Zhao, Ming, Jack DiGiovanna, Babak Mahmoudi, et al.. (2008). BMI cyberworkstation: Enabling dynamic data-driven brain-machine interface research through cyberinfrastructure. PubMed. 2008. 646–649. 4 indexed citations

18.

Mahmoudi, Babak, Jack DiGiovanna, José C. Prı́ncipe, & Justin C. Sanchez. (2008). Neuronal tuning in a brain-machine interface during Reinforcement Learning. PubMed. 2008. 4491–4494. 2 indexed citations

19.

DiGiovanna, Jack, et al.. (2007). Brain-Machine Interface Control via Reinforcement Learning. 9 indexed citations

20.

DiGiovanna, Jack, Justin C. Sanchez, & José C. Prı́ncipe. (2006). Improved Linear BMI Systems via Population Averaging. PubMed. 79. 1608–1611. 5 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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