Martha L. Abell
- Electrical and Electronic Engineering
- Statistics and Probability top 10%
- Genetics
- Materials Chemistry
- Biomedical Engineering
- Topics
- Evolution and Genetic Dynamics (5 papers)Mathematical and Theoretical Epidemiology and Ecology Models (3 papers)HIV Research and Treatment (2 papers)
- Partner nations
- United States
In The Last Decade
Martha L. Abell
25 papers receiving 371 citations
Peers
Comparison fields: 5 of 155
- Electrical and Electronic Engineering 44
- Statistics and Probability 36
- Genetics 33
- Materials Chemistry 33
- Biomedical Engineering 32
Countries citing papers authored by Martha L. Abell
This map shows the geographic impact of Martha L. Abell'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 Martha L. Abell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha L. Abell more than expected).
Fields of papers citing papers by Martha L. Abell
This network shows the impact of papers produced by Martha L. Abell. 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 Martha L. Abell. The network helps show where Martha L. Abell may publish in the future.
Co-authorship network of co-authors of Martha L. Abell
This figure shows the co-authorship network connecting the top 25 collaborators of Martha L. Abell. A scholar is included among the top collaborators of Martha L. Abell 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 Martha L. Abell. Martha L. Abell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | Maple by example | 18 |
| 6 | 1 | |
| 7 | Statistics with Maple | 17 |
| 8 | 25 | |
| 9 | The Identification of Calcium Oscillators in Immature Rat Cranial Sutures | 1 |
| 10 | 0 | |
| 11 | 25 | |
| 12 | Statistics with Mathematica with Cdrom | 2 |
| 13 | Differential equations with Mathematica (2nd ed.) | 3 |
| 14 | Modern Differential Equations: Theory, Applications, Technology | 4 |
| 15 | The Maple V handbook | 41 |
| 16 | Maple V by example | 16 |
| 17 | Modern Differential Equations | 7 |
| 18 | Mathematica by Example | 21 |
| 19 | The Mathematica Handbook | 19 |
| 20 | Giving Meaning to the Circular Membrane Problem with Mathematica | 2 |
About Martha L. Abell
Martha L. Abell is a scholar working on Architecture, Virology and Statistics and Probability, having authored 26 papers that have together received 411 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Statistics and Probability (36 citations), Numerical Analysis (20 citations) and Modeling and Simulation (17 citations). Martha L. Abell has collaborated with scholars based in United States. Frequent co-authors include James P. Braselton, Robert A. Stine, Jack C. Yu, Matthew A. Williamson and James L. Borke. Their work appears in journals such as Journal of Mathematical Analysis and Applications, SIAM Review and The American Statistician.
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.