Isaac Dialsingh

25 papers receiving 317 citations

Peers

Isaac Dialsingh
Comparison fields: 5 of 107
  • Statistics and Probability 98
  • Management Science and Operations Research 29
  • Statistics, Probability and Uncertainty 14
  • Finance 19
  • Economics and Econometrics 42
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Weiren Wang United States
Marco Di Zio Italy
Mark J. van der Laan United States
Heather Battey United Kingdom
Khairil Anwar Notodiputro Indonesia
Sören R. Künzel United States
Lan Liu United States
Biao Zhang United States
T. V. Ramanathan India
Jörg Drechsler Germany
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Citations per year

Countries citing papers authored by Isaac Dialsingh

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Dialsingh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Isaac Dialsingh, 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 Isaac Dialsingh Line = papers co-authored together Isaac Dialsingh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 200557
3 201726
4 201318
5 201813
6 201112
7 201511
8 20186
9 20196
10 20076
11 20176
12 20134
13 20223
14 20163
15 20172
16
False Discovery Rates when the Statistics are Discrete
20112
17
Procyclical Tendencies in a Small Oil Exporter
20171
18 20131
19 20141
20 20211

About Isaac Dialsingh

Isaac Dialsingh is a scholar working on Statistics and Probability, Sociology and Political Science, Artificial Intelligence, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 28 papers that have together received 326 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (2 papers), Statistical Methods in Clinical Trials (2 papers), Agricultural risk and resilience (1 paper), Obesity, Physical Activity, Diet (1 paper), Aquatic life and conservation (1 paper), Urban and Rural Development Challenges (1 paper), Survey Sampling and Estimation Techniques (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Statistics and Probability (98 citations), Management Science and Operations Research (29 citations), Statistics, Probability and Uncertainty (14 citations), Finance (19 citations) and Economics and Econometrics (42 citations). Isaac Dialsingh has collaborated with scholars based in Trinidad and Tobago, United States and Malaysia. Frequent co-authors include Virendra Singh, Naomi Altman, Ashok Sahai, Dale Maharaj, Surujpal Teelucksingh, Chris Maharaj, Patrick Hosein, Sateesh Sakhamuri, Andrew Chadwick and Lexley M Pinto Pereira. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Proceedings of the Institution of Civil Engineers - Maritime Engineering, Crime Prevention and Community Safety, Bioinformatics and Soccer and Society.

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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