Matthew H. Higgs
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- William J. SpainAdrienne L. FairhallBrian N. LundstromSean J. SleePeter D. LukasiewiczCharles J. WilsonRobert C. FoehringDabo Guan
- Topics
- Neural dynamics and brain function (18 papers)Neuroscience and Neuropharmacology Research (15 papers)Neuroscience and Neural Engineering (10 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Matthew H. Higgs
29 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 718
- Cognitive Neuroscience 625
- Statistical and Nonlinear Physics 411
- Computer Networks and Communications 271
- Molecular Biology 266
Countries citing papers authored by Matthew H. Higgs
This map shows the geographic impact of Matthew H. Higgs'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 Matthew H. Higgs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew H. Higgs more than expected).
Fields of papers citing papers by Matthew H. Higgs
This network shows the impact of papers produced by Matthew H. Higgs. 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 Matthew H. Higgs. The network helps show where Matthew H. Higgs may publish in the future.
Co-authorship network of co-authors of Matthew H. Higgs
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew H. Higgs. A scholar is included among the top collaborators of Matthew H. Higgs 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 Matthew H. Higgs. Matthew H. Higgs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 36 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 54 | |
| 10 | 6 | |
| 11 | 76 | |
| 12 | 68 | |
| 13 | 24 | |
| 14 | Fractional differentiation by neocortical pyramidal neuronsbreakdown → | 528 |
| 15 | 68 | |
| 16 | 101 | |
| 17 | 67 | |
| 18 | 28 | |
| 19 | 22 | |
| 20 | 58 |
About Matthew H. Higgs
Matthew H. Higgs is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Neuroscience and Neuropharmacology Research (15 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (718 citations), Statistical and Nonlinear Physics (411 citations) and Cognitive Neuroscience (625 citations). Matthew H. Higgs has collaborated with scholars based in United States and Russia. Frequent co-authors include William J. Spain, Adrienne L. Fairhall, Brian N. Lundstrom, Sean J. Slee, Peter D. Lukasiewicz, Charles J. Wilson, Robert C. Foehring, Dabo Guan, Wucheng Tao and Christopher B. Ransom. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and The Journal of Physiology.
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.