Mark Von Tress
- Biochemistry top 2%
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 2
- Statistical Methods and Applications 2
- Statistical Methods and Bayesian Inference 1
- Hematology top 5%
- Ophthalmology top 5%
- Intraocular Surgery and Lenses 3
- Glaucoma and retinal disorders 3
- Health Informatics top 10%
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- Pesticide Residue Analysis and Safety 2
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- Corneal surgery and disorders 2
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- Sympathectomy and Hyperhidrosis Treatments 1
- Co-authors
- Marija J. NorušisClifford C. CloggEdward S. ShihadehLawrence T. GoodnoughSamir K. BallasJay E. MenitoveCharles H. WallasKenneth J. Smith
- Journals
- New England Journal of Medicine (1 paper)Technometrics (10 papers)Statistics in Medicine (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Mark Von Tress
19 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Biochemistry 242
- Statistics and Probability 186
- Hematology 235
- Ophthalmology 151
- Health Informatics 21
Countries citing papers authored by Mark Von Tress
This map shows the geographic impact of Mark Von Tress'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 Von Tress with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Von Tress more than expected).
Fields of papers citing papers by Mark Von Tress
This network shows the impact of papers produced by Mark Von Tress. 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 Von Tress. The network helps show where Mark Von Tress may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Von Tress, 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 | 2020 | 6 | |
| 2 | 2019 | 83 | |
| 3 | 2018 | 17 | |
| 4 | Evaluation of the ScanRDI(R) as a Rapid Alternative to the Pharmacopoeial Sterility Test Method: Comparison of the Limits of Detection. | 2016 | 6 |
| 5 | 2015 | 0 | |
| 6 | 2006 | 9 | |
| 7 | 2003 | 406 | |
| 8 | 2001 | 46 | |
| 9 | 2000 | 2 | |
| 10 | 2000 | 1 | |
| 11 | 1995 | 56 | |
| 12 | 1995 | 142 | |
| 13 | 1991 | 3 | |
| 14 | 1991 | 2 | |
| 15 | 1989 | 335 | |
| 16 | Analysis of Messy Data, Volume II: Nonreplicated Experiments | 1989 | 34 |
| 17 | SPSS-X Advanced Statistics Guidebreakdown → | 1988 | 503 |
| 18 | 1988 | 422 | |
| 19 | 1986 | 6 | |
| 20 | 1986 | 11 |
About Mark Von Tress
Mark Von Tress is a scholar working on Health Informatics, Ophthalmology and Statistics and Probability, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Intraocular Surgery and Lenses (3 papers), Glaucoma and retinal disorders (3 papers), Pesticide Residue Analysis and Safety (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Applications (2 papers), Corneal surgery and disorders (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Sympathectomy and Hyperhidrosis Treatments (1 paper). The work is most often cited by research in Biochemistry (242 citations), Statistics and Probability (186 citations) and Hematology (235 citations). Mark Von Tress has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Marija J. Norušis, Clifford C. Clogg, Edward S. Shihadeh, Lawrence T. Goodnough, Samir K. Ballas, Jay E. Menitove, Charles H. Wallas, Kenneth J. Smith, Bruce A. Lenes and Robert Abels. Their work appears in journals such as New England Journal of Medicine, Technometrics and Statistics in Medicine.
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.