Steve Drekic

1.0k citations
44 papers · 737 indexed · h-index 17

Impact in

Papers in

Steve Drekic

43 papers receiving 692 citations

Peers

Steve Drekic
Comparison fields: 5 of 50
  • Management Science and Operations Research 560
  • Demography 373
  • Statistics and Probability 213
  • Management Information Systems 195
  • Finance 193
Replace Soohan Ahn with:
Soohan Ahn South Korea
Susan M. Pitts United Kingdom
Andrei L. Badescu Canada
Esther Frostig Israel
Manfred Schäl Germany
Krzysztof Dȩbicki Poland
Bara Kim South Korea
Ryszard Szekli Poland
Ana da Silva Soares Belgium
Rolando Cavazos–Cadena Mexico
Steve Drekic relative to Soohan Ahn South Korea Soohan Ahn's profile →
Citations per field
00.5×4.0×
Soohan Ahn · 1×
Citations per year

Countries citing papers authored by Steve Drekic

Since Specialization
Citations

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

Fields of papers citing papers by Steve Drekic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Steve Drekic, 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 Steve Drekic Line = papers co-authored together Steve Drekic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20210
3 20192
4 20163
5 201412
6 20132
7 20102
8 20095
9 200826
10 200819
11 200816
12 20075
13 200725
14 200521
15 200521
16 200434
17 200310
18 2003167
19 200316
20 20006

About Steve Drekic

Steve Drekic is a scholar working on Management Science and Operations Research, Statistics and Probability, Management Information Systems, Demography and Safety, Risk, Reliability and Quality, having authored 44 papers that have together received 737 indexed citations. Recurring topics across this work include Probability and Risk Models (27 papers), Insurance, Mortality, Demography, Risk Management (19 papers), Advanced Queuing Theory Analysis (17 papers), Statistical Distribution Estimation and Applications (13 papers), Insurance and Financial Risk Management (6 papers), Reliability and Maintenance Optimization (5 papers), Advanced Wireless Network Optimization (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Management Science and Operations Research (560 citations), Demography (373 citations), Statistics and Probability (213 citations), Management Information Systems (195 citations) and Finance (193 citations). Steve Drekic has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Gordon E. Willmot, X. Sheldon Lin, David Dickson, David A. Stanford, Winfried K. Grassmann, Eric C.K. Cheung, Andrei L. Badescu, David Landriault, Douglas G. Woolford and Jun Cai. Their work appears in journals such as Scandinavian Actuarial Journal, Astin Bulletin, Queueing Systems, Insurance Mathematics and Economics and North American Actuarial 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026