Robert Mittman
Impact in
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- Glioma Diagnosis and Treatment
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Labor Law and Work Dynamics 1
- Genetics 1
- Glioma Diagnosis and Treatment 1
- Co-authors
- Robert Johansen (2 shared papers)George Poste (1 shared paper)Webster K. Cavenee (1 shared paper)Timothy F. Cloughesy (1 shared paper)Patrick Y. Wen (1 shared paper)Tao Jiang (1 shared paper)Anna D. Barker (1 shared paper)Susan M. Chang (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Addison-Wesley Longman Publishing Co., Inc. eBooks (1 paper)PubMed (1 paper)Healthcare Quarterly (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Robert Mittman
8 papers receiving 232 citations
Peers
Comparison fields: 5 of 77
- Genetics 74
- Statistics and Probability 36
- Medical Terminology 1
- Cancer Research 53
- Communication 23
Countries citing papers authored by Robert Mittman
This map shows the geographic impact of Robert Mittman'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 Robert Mittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Mittman more than expected).
Fields of papers citing papers by Robert Mittman
This network shows the impact of papers produced by Robert Mittman. 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 Robert Mittman. The network helps show where Robert Mittman may publish in the future.
Co-authors
The 15 scholars most cited alongside Robert Mittman, 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 | 2017 | 131 | |
| 2 | Leading Business Teams: How Teams Can Use Technology and Group Process Tools to Enhance Performance | 1991 | 59 |
| 3 | Health e-People: The Online Consumer Experience | 2000 | 39 |
| 4 | 2000 | 19 | |
| 5 | Twenty-first century health care consumers. | 2000 | 3 |
| 6 | Using Clinical Information Technology in Chronic Disease Care: Expert Workshop Summary | 2004 | 3 |
| 7 | Unprecedented Opportunity: Using Federal Stimulus Funds to Advance Health IT in California | 2009 | 1 |
| 8 | El impacto de la tecnología en los equipos de trabajo | 1993 | 1 |
About Robert Mittman
Robert Mittman is a scholar working on Political Science and International Relations, Genetics, Social Psychology, Neurology and Health Information Management, having authored 8 papers that have together received 256 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Labor Law and Work Dynamics (1 paper), Employment, Labor, and Gender Studies (1 paper), Team Dynamics and Performance (1 paper), Glioma Diagnosis and Treatment (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Genetics (74 citations), Statistics and Probability (36 citations), Medical Terminology (1 citation), Cancer Research (53 citations) and Communication (23 citations). Robert Mittman has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Robert Johansen, George Poste, Webster K. Cavenee, Timothy F. Cloughesy, Patrick Y. Wen, Tao Jiang, Anna D. Barker, Susan M. Chang, Mitchel S. Berger and Donald A. Berry. Their work appears in journals such as Clinical Cancer Research, Addison-Wesley Longman Publishing Co., Inc. eBooks, PubMed and Healthcare Quarterly.
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.