Daniel Suma

594 citations
9 papers · 446 · 1 hit paper · h-index 7

Impact in

Papers in

Daniel Suma

9 papers receiving 441 citations

Daniel Suma's Hit Papers

Noninvasive neuroimaging enhances continuous neural tracking for robotic device control 2019 · 280 citations
2800+2+4Years since publication50100150200250

Peers

Daniel Suma
Comparison fields: 5 of 58
  • Cognitive Neuroscience 358
  • Human-Computer Interaction 83
  • Cellular and Molecular Neuroscience 199
  • Electrical and Electronic Engineering 112
  • Signal Processing 19
Replace Claire A. Zurn with:
Claire A. Zurn United States
Simona Bufalari Italy
Sacha Leinders Netherlands
Helene G. Moorman United States
Jad Saab United States
Max van den Boom Netherlands
Léa Pillette France
Amin Hekmatmanesh Finland
J. Hill Germany
Abdullah Akce United States
Daniel Suma relative to Claire A. Zurn United States Claire A. Zurn's profile →
Citations per field
00.5×
Claire A. Zurn · 1×
Citations per year

Countries citing papers authored by Daniel Suma

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Suma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Suma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Suma Line = papers co-authored together Daniel Suma links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Hit paper breakdown →
2019280
2 201846
3 202144
4 201925
5 201424
6 202013
7 20229
8 20183
9 20222

About Daniel Suma

Daniel Suma is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 9 papers that have together received 446 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers), Synthesis and Characterization of Heterocyclic Compounds (1 paper), Cognitive Functions and Memory (1 paper), Heart Rate Variability and Autonomic Control (1 paper) and Advancements in Battery Materials (1 paper). The work is most often cited by research in Cognitive Neuroscience (358 citations), Human-Computer Interaction (83 citations), Cellular and Molecular Neuroscience (199 citations), Electrical and Electronic Engineering (112 citations) and Signal Processing (19 citations). Daniel Suma has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bin He, Jianjun Meng, Bradley J. Edelman, Claire A. Zurn, Bryan Baxter, Christopher C. Cline, Da Deng, Stephen A. Engel, James Stieger and Haiteng Jiang. Their work appears in journals such as Journal of Neural Engineering, Frontiers in Human Neuroscience, IEEE Transactions on Biomedical Engineering, Royal Society Open Science and Cerebral Cortex.

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.

Explore authors with similar magnitude of impact