Sol Kaufman

897 citations
23 papers · 629 · h-index 14

Impact in

    • Advanced Causal Inference Techniques
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
  • Health top 10%
    • Health disparities and outcomes

Papers in

    • Advanced Causal Inference Techniques 8
    • Statistical Methods and Inference 5
    • Statistical Methods and Bayesian Inference 2
    • Head and Neck Surgical Oncology 4

Sol Kaufman

23 papers receiving 576 citations

Peers

Sol Kaufman
Comparison fields: 5 of 110
  • Statistics and Probability 164
  • Health 81
  • Otorhinolaryngology 35
  • Physiology 126
  • Anesthesiology and Pain Medicine 22
Replace Chonghua Wan with:
Chonghua Wan China
Jessica Roydhouse Australia
Isabel de Salis United Kingdom
Veronica Sciannameo Italy
Yemi Oluboyede United Kingdom
Anthony Roman United States
Anne-Lise Septans France
Costanza Pizzi Italy
Mary Shaw United States
A. Penna Italy
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Citations per field
00.5×10×12.6×
Chonghua Wan · 1×
Citations per year

Countries citing papers authored by Sol Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Sol Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Sol Kaufman, 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 Sol Kaufman Line = papers co-authored together Sol Kaufman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004191
2 198174
3 199848
4 200345
5 200541
6 200536
7 200133
8 200929
9 195322
10 197320
11 197917
12 198617
13 199515
14 200213
15 19896
16 19535
17 20034
18 19784
19 19783
20 20022

About Sol Kaufman

Sol Kaufman is a scholar working on Statistics and Probability, Surgery, Otorhinolaryngology, Oncology and Economics and Econometrics, having authored 23 papers that have together received 629 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (5 papers), Head and Neck Cancer Studies (5 papers), Head and Neck Surgical Oncology (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Ear and Head Tumors (3 papers), Statistical Methods and Bayesian Inference (2 papers) and High voltage insulation and dielectric phenomena (2 papers). The work is most often cited by research in Statistics and Probability (164 citations), Health (81 citations), Otorhinolaryngology (35 citations), Physiology (126 citations) and Anesthesiology and Pain Medicine (22 citations). Sol Kaufman has collaborated with scholars based in United States and Canada. Frequent co-authors include Jay S. Kaufman, Richard F. MacLehose, John M. Loré, Charles Poole, Charles Poole, Mohamed S. Razack, Peter Reese, Vahram Y. Bakamjian, Kumao Sako and Kenneth W. Terhune. Their work appears in journals such as The American Journal of Surgery, Journal of Surgical Oncology, International Journal of Epidemiology, Epidemiology and Demography.

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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