Eugene Ackerman
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 11
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- Diabetes Management and Research 6
- Diabetes Treatment and Management 4
- Genetics top 5%
- Health top 10%
- Epidemiology top 10%
- Influenza Virus Research Studies 6
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- Microfluidic and Bio-sensing Technologies 11
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- Electrochemical sensors and biosensors 4
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- Health Systems, Economic Evaluations, Quality of Life 4
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- Microbial Inactivation Methods 4
- Co-authors
- John W. RosevearLaël C. GatewoodGeorge D. MolnarWilliam F. TaylorF. John ServiceLila R. ElvebackJohn P. FoxIra M. Longini
- Journals
- The Journal of the Acoustical Society of America (15 papers)Computers in Biology and Medicine (8 papers)Bulletin of Mathematical Biology (7 papers)
- Partner nations
- United StatesCanadaNepal
In The Last Decade
Eugene Ackerman
96 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Modeling and Simulation 401
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 468
- Health 103
- Epidemiology 399
Countries citing papers authored by Eugene Ackerman
This map shows the geographic impact of Eugene Ackerman'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 Eugene Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Ackerman more than expected).
Fields of papers citing papers by Eugene Ackerman
This network shows the impact of papers produced by Eugene Ackerman. 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 Eugene Ackerman. The network helps show where Eugene Ackerman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eugene Ackerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 2 | |
| 2 | 1994 | 5 | |
| 3 | 1994 | 1 | |
| 4 | 1994 | 0 | |
| 5 | 1993 | 12 | |
| 6 | 1993 | 20 | |
| 7 | 1993 | 2 | |
| 8 | 1993 | 17 | |
| 9 | 1991 | 6 | |
| 10 | 1990 | 25 | |
| 11 | A Monte Carlo Simulation Program for Coronary Heart Disease. | 1990 | 3 |
| 12 | 1990 | 4 | |
| 13 | 1988 | 13 | |
| 14 | 1988 | 61 | |
| 15 | 1977 | 6 | |
| 16 | Mean Amplitude of Glycemic Excursions, a Measure of Diabetic Instabilitybreakdown → | 1970 | 850 |
| 17 | 1963 | 1 | |
| 18 | 1957 | 6 | |
| 19 | 1955 | 14 | |
| 20 | 1954 | 1 |
About Eugene Ackerman
Eugene Ackerman is a scholar working on Modeling and Simulation, Biophysics, Statistics and Probability, Endocrinology, Diabetes and Metabolism and Medical Laboratory Technology, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (11 papers), COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (6 papers), Diabetes Management and Research (6 papers), Electrochemical sensors and biosensors (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Diabetes Treatment and Management (4 papers) and Microbial Inactivation Methods (4 papers). The work is most often cited by research in Modeling and Simulation (401 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (468 citations), Health (103 citations) and Epidemiology (399 citations). Eugene Ackerman has collaborated with scholars based in United States, Canada and Nepal. Frequent co-authors include John W. Rosevear, Laël C. Gatewood, George D. Molnar, William F. Taylor, F. John Service, Lila R. Elveback, John P. Fox, Ira M. Longini, Warren F. McGuckin and Adam Anthony. Their work appears in journals such as The Journal of the Acoustical Society of America, Computers in Biology and Medicine, Bulletin of Mathematical Biology, American Journal of Epidemiology and American Journal of Physiology-Legacy Content.
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.