Christopher J. Cellucci

783 citations
24 papers · 546 · h-index 12

Impact in

Papers in

Christopher J. Cellucci

22 papers receiving 525 citations

Peers

Christopher J. Cellucci
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 135
  • Cognitive Neuroscience 176
  • Signal Processing 72
  • Economics and Econometrics 123
  • Artificial Intelligence 90
Replace Andriana S. L. O. Campanharo with:
Andriana S. L. O. Campanharo Brazil
Stefan Schinkel Germany
Alfonso Delgado-Bonal United States
Andreas Galka Germany
Shiou-Gwo Lin Taiwan
Robert G. Turcott United States
D. Y. Qianli China
Anna Krakovská Slovakia
Isabella Palamara Italy
Dmytro Iatsenko United Kingdom
Christopher J. Cellucci relative to Andriana S. L. O. Campanharo Brazil Andriana S. L. O. Campanharo's profile →
Citations per field
00.5×1.5×1.9×
Andriana S. L. O. Campanharo · 1×
Citations per year

Countries citing papers authored by Christopher J. Cellucci

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Cellucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Cellucci. 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 Christopher J. Cellucci. The network helps show where Christopher J. Cellucci may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher J. Cellucci, 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 Christopher J. Cellucci Line = papers co-authored together Christopher J. Cellucci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005133
2 200391
3 201368
4 200132
5 200329
6 200129
7 199723
8 200417
9 200116
10 201316
11 200212
12 200511
13 201311
14 201411
15 201710
16 20119
17 20188
18 20195
19 20005
20 20194

About Christopher J. Cellucci

Christopher J. Cellucci is a scholar working on Cognitive Neuroscience, Signal Processing, Economics and Econometrics, Statistical and Nonlinear Physics and Molecular Biology, having authored 24 papers that have together received 546 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (6 papers), Neural dynamics and brain function (6 papers), Complex Systems and Time Series Analysis (6 papers), EEG and Brain-Computer Interfaces (5 papers), Chaos control and synchronization (4 papers), Traumatic Brain Injury Research (4 papers), Neural Networks and Applications (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (135 citations), Cognitive Neuroscience (176 citations), Signal Processing (72 citations), Economics and Econometrics (123 citations) and Artificial Intelligence (90 citations). Christopher J. Cellucci has collaborated with scholars based in United States, Philippines and Mexico. Frequent co-authors include Paul E. Rapp, A. M. Albano, Tomas Watanabe, Barr Rosenberg, Richard C. Josiassen, Kathryn E. Korslund, Theodore R. Bashore, David O. Keyser, M.A. Jiménez-Montaño and Tanya Schmah. Their work appears in journals such as International Journal of Bifurcation and Chaos, Chaos An Interdisciplinary Journal of Nonlinear Science, Frontiers in Neurology, Journal of Experimental Biology and Frontiers in Human Neuroscience.

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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