Mara Tableman

685 citations
15 papers · 537 · h-index 8

Impact in

Papers in

Mara Tableman

15 papers receiving 498 citations

Peers

Mara Tableman
Comparison fields: 5 of 99
  • Psychiatry and Mental health 204
  • Statistics and Probability 120
  • Developmental Neuroscience 41
  • Statistics, Probability and Uncertainty 62
  • Genetics 50
Replace Carrie Greene Wager with:
Carrie Greene Wager United States
Giulia Marcon Italy
Matthew J. Schroeder United States
Jennifer E. Mollon United States
Lai Jiang Canada
Lina Malcienė Lithuania
Sheila M. Gaynor United States
Luís Castelo-Branco United States
Carl Shen Canada
Andrew Riddehough Canada
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Citations per field
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Carrie Greene Wager · 1×
Citations per year

Countries citing papers authored by Mara Tableman

Since Specialization
Citations

This map shows the geographic impact of Mara Tableman'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 Mara Tableman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Tableman more than expected).

Fields of papers citing papers by Mara Tableman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mara Tableman. 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 Mara Tableman. The network helps show where Mara Tableman may publish in the future.

Co-authors

The 15 scholars most cited alongside Mara Tableman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mara Tableman Line = papers co-authored together Mara Tableman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008226
2 200395
3 199593
4 199036
5 199423
6 199419
7 199014
8 200710
9 19906
10 20094
11 19873
12 19883
13 19952
14 19872
15 19871

About Mara Tableman

Mara Tableman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Genetics, Psychiatry and Mental health and Oncology, having authored 15 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (5 papers), Advanced Statistical Process Monitoring (2 papers), Lung Cancer Research Studies (2 papers), Brain Metastases and Treatment (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Psychiatry and Mental health (204 citations), Statistics and Probability (120 citations), Developmental Neuroscience (41 citations), Statistics, Probability and Uncertainty (62 citations) and Genetics (50 citations). Mara Tableman has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Jong Sung Kim, Kenneth E. James, Rose Christopherson, Frank E. Johnson, William David Henner, Suellen A. Dahlborg, Bruce W. Dana, Hannu Oja, Edward A. Neuwelt and Robert E. Brummett. Their work appears in journals such as Neurosurgery, Biometrika, Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of the American College of Surgeons.

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.

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