Vikas Soekhai

1.2k citations
10 papers · 825 · 1 hit paper · h-index 7

Impact in

Papers in

Vikas Soekhai

10 papers receiving 814 citations

Vikas Soekhai's Hit Papers

Discrete Choice Experiments in Health Economics: Past, Present and Future 2018 · 590 citations
5900+2+5Years since publication100200300400500

Peers

Vikas Soekhai
Comparison fields: 5 of 102
  • General Decision Sciences 37
  • Economics and Econometrics 314
  • General Health Professions 86
  • Health 18
  • Marketing 21
Replace Nicolas Krucien with:
Nicolas Krucien United Kingdom
Harry Telser Switzerland
Jennifer A. Whitty Australia
Vikki O’Neill United Kingdom
Jason Somerville United States
John Buckell United Kingdom
Daniel Hill‐McManus United Kingdom
Alan Diener Canada
Susan Horrocks United Kingdom
Elizabeth T. Kinter United States
Vikas Soekhai relative to Nicolas Krucien United Kingdom Nicolas Krucien's profile →
Citations per field
00.5×1.5×1.9×
Nicolas Krucien · 1×
Citations per year

Countries citing papers authored by Vikas Soekhai

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Soekhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Discrete Choice Experiments in Health Economics: Past, Present and Future
Hit paper breakdown →
2018590
2 2019127
3 202132
4 202125
5 202021
6 20239
7 20217
8 20175
9 20205
10 20234

About Vikas Soekhai

Vikas Soekhai is a scholar working on Economics and Econometrics, General Health Professions, General Decision Sciences, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 825 indexed citations. Recurring topics across this work include Economic and Environmental Valuation (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Decision-Making and Behavioral Economics (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Patient Satisfaction in Healthcare (1 paper), Genomics and Rare Diseases (1 paper), Pharmaceutical industry and healthcare (1 paper) and Global Health Care Issues (1 paper). The work is most often cited by research in General Decision Sciences (37 citations), Economics and Econometrics (314 citations), General Health Professions (86 citations), Health (18 citations) and Marketing (21 citations). Vikas Soekhai has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Esther Wilhelmina de Bekker-Grob, Caroline Mary Vass, Alan R. Ellis, Bas Donkers, Bennett S. Levitan, Cathy Anne Pinto, Jorien Veldwijk, Juhaeri Juhaeri, Chiara L. Whichello and Eline van Overbeeke. Their work appears in journals such as Journal of Choice Modelling, Patient, Drug Discovery Today, Head & Neck and PharmacoEconomics.

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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