Recai Yucel

3.4k citations
93 papers · 2.4k · h-index 26

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 19
    • Statistical Methods and Inference 12
    • Advanced Statistical Methods and Models 4
    • Advanced Causal Inference Techniques 4
    • Sarcoidosis and Beryllium Toxicity Research 9

Recai Yucel

90 papers receiving 2.3k citations

Peers

Recai Yucel
Comparison fields: 5 of 163
  • Statistics and Probability 419
  • Health, Toxicology and Mutagenesis 180
  • Statistics, Probability and Uncertainty 86
  • Physiology 279
  • Information Systems and Management 77
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Citations per field
00.5×10×15.4×
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Citations per year

Countries citing papers authored by Recai Yucel

Since Specialization
Citations

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

Fields of papers citing papers by Recai Yucel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Recai Yucel, 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 Recai Yucel Line = papers co-authored together Recai Yucel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002256
2 2005179
3 2011141
4 2006141
5 2008114
6 201595
7 200680
8 201466
9 201864
10 201855
11 200852
12 200952
13 201151
14 201948
15 201543
16 200842
17 200840
18 201139
19 200335
20 201135

About Recai Yucel

Recai Yucel is a scholar working on Statistics and Probability, Physiology, Health, Toxicology and Mutagenesis, General Health Professions and Sociology and Political Science, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (19 papers), Statistical Methods and Inference (12 papers), Sarcoidosis and Beryllium Toxicity Research (9 papers), Advanced Statistical Methods and Models (4 papers), Healthcare Policy and Management (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Bayesian Methods and Mixture Models (4 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Statistics and Probability (419 citations), Health, Toxicology and Mutagenesis (180 citations), Statistics, Probability and Uncertainty (86 citations), Physiology (279 citations) and Information Systems and Management (77 citations). Recai Yucel has collaborated with scholars based in United States, Türkiye and United Kingdom. Frequent co-authors include Joseph L. Schafer, Karen Kuhlthau, Kristen S. Hill, Alan M. Zaslavsky, James M. Perrin, Marc A. Judson, Hakan Demirtaş, Eric G. Campbell, Sally Freels and Yulei He. Their work appears in journals such as Respiratory Medicine, Academic Medicine, Maternal and Child Health Journal, Lung and CHEST Journal.

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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