M. Tavakoli

21 papers receiving 921 citations

Hit Papers

When can odds ratios mislead?19982026200720161998200400600

Peers

M. Tavakoli
Comparison fields: 5 of 144
  • Economics and Econometrics 204
  • General Health Professions 185
  • Public Health, Environmental and Occupational Health 123
  • Epidemiology 119
  • Surgery 86
Replace Pierre‐Yves Crémieux with:
Pierre‐Yves Crémieux Canada
Wanrudee Isaranuwatchai Canada
Z Philips United Kingdom
Matthias Hünger Germany
Laura Ginnelly United Kingdom
Yongyong Xu China
Joy H. Lewis United States
Chris McCabe United Kingdom
Thomas W. Concannon United States
Bengt Liljas Sweden
M. Tavakoli relative to Pierre‐Yves Crémieux Canada Pierre‐Yves Crémieux's profile →
Citations per field
00.5×1.7×
Pierre‐Yves Crémieux · 1×
Citations per year

Countries citing papers authored by M. Tavakoli

Since Specialization
Citations

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

Fields of papers citing papers by M. Tavakoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tavakoli

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tavakoli. A scholar is included among the top collaborators of M. Tavakoli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Tavakoli. M. Tavakoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 6
3
THE EFFECT OF USING INTERNET OF THINGS ON ORGANIZATIONAL PERFORMANCE IN HEALTH RELATED ISSUES (CASE STUDY: SHAHID RAJAEE HOSPITAL IN TEHRAN)
1
4 11
5 1
6 29
7 3
8 6
9 10
10 28
11
Investigating Turnaround in NHS Organisations
0
12 0
13 6
14
Unwanted Pregnacy and Related Factors in 1995 in Rafsanjan
3
15 9
16 1
17
When can odds ratios mislead?breakdown →
727
18 15
19 35
20 49

About M. Tavakoli

M. Tavakoli is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 24 papers that have together received 977 indexed citations. Recurring topics across this work include Corporate Finance and Governance (6 papers), Financial Markets and Investment Strategies (6 papers) and Healthcare Policy and Management (5 papers). The work is most often cited by research in Statistics and Probability (69 citations), Economics and Econometrics (204 citations) and General Health Professions (185 citations). M. Tavakoli has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Huw Davies, Iain K. Crombie, John Goddard, M. Malek, David G. McMillan, Phillip J. McKnight, Michael D. Rosko, Mona Al‐Amin, Gareth J. Treharne and George D. Kitas. Their work appears in journals such as Alimentary Pharmacology & Therapeutics, Journal of Medical Genetics and Lara D. Veeken.

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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