Mark J. Panaggio

2.1k total citations · 2 hit papers
21 papers, 1.4k citations indexed

About

Mark J. Panaggio is a scholar working on Computer Networks and Communications, Biomedical Engineering and Modeling and Simulation. According to data from OpenAlex, Mark J. Panaggio has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Biomedical Engineering and 5 papers in Modeling and Simulation. Recurrent topics in Mark J. Panaggio's work include Nonlinear Dynamics and Pattern Formation (6 papers), Slime Mold and Myxomycetes Research (6 papers) and COVID-19 epidemiological studies (5 papers). Mark J. Panaggio is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (6 papers), Slime Mold and Myxomycetes Research (6 papers) and COVID-19 epidemiological studies (5 papers). Mark J. Panaggio collaborates with scholars based in United States, Denmark and Singapore. Mark J. Panaggio's co-authors include Daniel M. Abrams, Erik A. Martens, Carlo R. Laing, Peter Ashwin, Alison M. Binder, A. Danielle Iuliano, Stacey Adjei, Karl Soetebier, Tegan K. Boehmer and Joan Brunkard and has published in prestigious journals such as Physical Review Letters, PLoS ONE and PLoS Computational Biology.

In The Last Decade

Mark J. Panaggio

18 papers receiving 1.3k 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.

Chimera states: coexistence of coherence and incoherence in networks of coupled oscillators

2015 566 citations Mark J. Panaggio, Daniel M. Abrams Nonlinearity profile →
Trends in Disease Severity and Health Care Utilization During the Early Omicron Variant Period Compared with Previous SARS-CoV-2 High Transmission Periods — United States, December 2020–January 2022

2022 301 citations A. Danielle Iuliano, Joan Brunkard et al. MMWR Morbidity and Mortality Weekly Report profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Panaggio United States	12	851	439	356	347	260	21	1.4k
Sergio Alonso Spain	24	741 0.9×	200 0.5×	159 0.4×	479 1.4×	98 0.4×	89	1.6k
Enrique Álvarez-Lacalle Spain	20	161 0.2×	115 0.3×	137 0.4×	88 0.3×	84 0.3×	55	1.0k
L.H.A. Monteiro Brazil	19	267 0.3×	56 0.1×	76 0.2×	350 1.0×	57 0.2×	116	1.1k
J.-F. Vibert France	18	184 0.2×	36 0.1×	371 1.0×	200 0.6×	27 0.1×	44	920
Chris G. Antonopoulos United Kingdom	17	296 0.3×	23 0.1×	161 0.5×	430 1.2×	126 0.5×	57	1.2k
Mitja Slavinec Slovenia	13	264 0.3×	34 0.1×	168 0.5×	297 0.9×	32 0.1×	26	674
Murray E. Alexander Canada	20	61 0.1×	51 0.1×	123 0.3×	161 0.5×	193 0.7×	50	1.6k
Fernando S. Borges Brazil	16	220 0.3×	34 0.1×	322 0.9×	232 0.7×	88 0.3×	56	719
Satoru Morita Japan	19	60 0.1×	71 0.2×	36 0.1×	106 0.3×	99 0.4×	91	1.2k
Khashayar Pakdaman France	24	707 0.8×	37 0.1×	907 2.5×	1.2k 3.3×	73 0.3×	87	1.8k

Countries citing papers authored by Mark J. Panaggio

Since Specialization

Citations

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

Fields of papers citing papers by Mark J. Panaggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Panaggio

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

All Works

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20 of 20 papers shown

Panaggio, Mark J., et al.. (2024). Enhancing the Management of Deployment-Limiting Medical Conditions in the U.S. Department of Navy Leveraging Electronic Health Records and Predictive Analytics Methods. Military Medicine. 189(Supplement_3). 399–406.

Scobie, Heather M., Mark J. Panaggio, Alison M. Binder, et al.. (2023). Correlations and Timeliness of COVID-19 Surveillance Data Sources and Indicators ― United States, October 1, 2020–March 22, 2023. MMWR Morbidity and Mortality Weekly Report. 72(19). 529–535. 12 indexed citations

Panaggio, Mark J., Paige A. Armstrong, Alison M. Binder, et al.. (2023). Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. PLoS ONE. 18(10). e0292354–e0292354. 2 indexed citations

Panaggio, Mark J., et al.. (2022). Gecko: A time-series model for COVID-19 hospital admission forecasting. Epidemics. 39. 100580–100580. 8 indexed citations

Iuliano, A. Danielle, Joan Brunkard, Tegan K. Boehmer, et al.. (2022). Trends in Disease Severity and Health Care Utilization During the Early Omicron Variant Period Compared with Previous SARS-CoV-2 High Transmission Periods — United States, December 2020–January 2022. MMWR Morbidity and Mortality Weekly Report. 71(4). 146–152. 301 indexed citations breakdown →

Rainwater‐Lovett, Kaitlin, John T. Redd, Mark J. Panaggio, et al.. (2021). Real-world Effect of Monoclonal Antibody Treatment in COVID-19 Patients in a Diverse Population in the United States. Open Forum Infectious Diseases. 8(8). ofab398–ofab398. 18 indexed citations

Panaggio, Mark J., et al.. (2021). Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease. PLoS Computational Biology. 17(3). e1008542–e1008542. 4 indexed citations

Parks, Sharyn E., Nicole Zviedrite, Mark J. Panaggio, et al.. (2021). COVID-19–Related School Closures and Learning Modality Changes — United States, August 1–September 17, 2021. MMWR Morbidity and Mortality Weekly Report. 70(39). 1374–1376. 24 indexed citations

Panaggio, Mark J., et al.. (2021). Pediatric COVID-19 Cases in Counties With and Without School Mask Requirements — United States, July 1–September 4, 2021. MMWR Morbidity and Mortality Weekly Report. 70(39). 1377–1378. 46 indexed citations

10.

Banerjee, Tanvi, et al.. (2019). Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. PubMed. 2019. 569–576. 10 indexed citations

11.

Bick, Christian, Mark J. Panaggio, & Erik A. Martens. (2018). Chaos in Kuramoto oscillator networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(7). 71102–71102. 32 indexed citations

12.

Panaggio, Mark J., Daniel M. Abrams, Peter Ashwin, & Carlo R. Laing. (2016). Chimera states in networks of phase oscillators: The case of two small populations. Physical review. E. 93(1). 12218–12218. 75 indexed citations

13.

Martens, Erik A., Mark J. Panaggio, & Daniel M. Abrams. (2016). Basins of attraction for chimera states. New Journal of Physics. 18(2). 22002–22002. 61 indexed citations

14.

Panaggio, Mark J. & Daniel M. Abrams. (2015). Chimera states on the surface of a sphere. Physical Review E. 91(2). 22909–22909. 77 indexed citations

15.

Panaggio, Mark J., et al.. (2015). Elvis Lives: Mathematical Surprises Inspired by Elvis, the Welsh Corgi. College Mathematics Journal. 46(2). 82–91. 2 indexed citations

16.

Panaggio, Mark J. & Daniel M. Abrams. (2015). Chimera states: coexistence of coherence and incoherence in networks of coupled oscillators. Nonlinearity. 28(3). R67–R87. 566 indexed citations breakdown →

17.

Edwards, David A., et al.. (2014). Improving a Fuel Cell Assembly Process.

18.

Panaggio, Mark J. & Daniel M. Abrams. (2013). Chimera States on a Flat Torus. Physical Review Letters. 110(9). 94102–94102. 87 indexed citations

19.

Panaggio, Mark J., et al.. (2013). Symmetry breaking in optimal timing of traffic signals on an idealized two-way street. Physical Review E. 88(3). 32801–32801. 2 indexed citations

20.

Abrams, Daniel M. & Mark J. Panaggio. (2012). A model balancing cooperation and competition can explain our right-handed world and the dominance of left-handed athletes. Journal of The Royal Society Interface. 9(75). 2718–2722. 22 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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