Steven C. Hillmer

2.8k total citations
39 papers, 1.7k citations indexed

About

Steven C. Hillmer is a scholar working on Management Science and Operations Research, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Steven C. Hillmer has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 9 papers in Statistics and Probability and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Steven C. Hillmer's work include Forecasting Techniques and Applications (14 papers), Advanced Statistical Methods and Models (7 papers) and Time Series Analysis and Forecasting (5 papers). Steven C. Hillmer is often cited by papers focused on Forecasting Techniques and Applications (14 papers), Advanced Statistical Methods and Models (7 papers) and Time Series Analysis and Forecasting (5 papers). Steven C. Hillmer collaborates with scholars based in United States, Tunisia and Netherlands. Steven C. Hillmer's co-authors include George C. Tiao, William R. Bell, William W. S. Wei, Abdelwahed Trabelsi, Douglas A. Schroeder, David F. Larcker, Canan Kocabasoglu‐Hillmer and Antonie Stam and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and Journal of Financial Economics.

In The Last Decade

Steven C. Hillmer

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven C. Hillmer United States 18 593 537 421 317 248 39 1.7k
Lon‐Mu Liu United States 17 426 0.7× 341 0.6× 266 0.6× 269 0.8× 308 1.2× 33 1.5k
Saeed Heravi United Kingdom 25 716 1.2× 486 0.9× 405 1.0× 192 0.6× 74 0.3× 70 1.9k
Robert F. Carbone United States 15 352 0.6× 1.2k 2.3× 251 0.6× 90 0.3× 207 0.8× 33 1.9k
Agustı́n Maravall Spain 21 679 1.1× 240 0.4× 552 1.3× 368 1.2× 177 0.7× 76 1.3k
Aloïs Kneip Germany 29 870 1.5× 793 1.5× 244 0.6× 213 0.7× 879 3.5× 60 2.8k
R. Ramanathan United States 16 789 1.3× 960 1.8× 484 1.1× 277 0.9× 136 0.5× 60 2.5k
P. J. Harrison United Kingdom 16 267 0.5× 580 1.1× 167 0.4× 184 0.6× 419 1.7× 35 1.5k
Maxwell L. King Australia 26 835 1.4× 361 0.7× 623 1.5× 673 2.1× 1.0k 4.1× 109 2.4k
Piet de Jong Australia 22 716 1.2× 614 1.1× 367 0.9× 499 1.6× 489 2.0× 79 2.3k
A. Andersen Australia 6 266 0.4× 975 1.8× 223 0.5× 88 0.3× 160 0.6× 7 1.3k

Countries citing papers authored by Steven C. Hillmer

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Hillmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. Hillmer. 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 Steven C. Hillmer. The network helps show where Steven C. Hillmer may publish in the future.

Co-authorship network of co-authors of Steven C. Hillmer

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. Hillmer. A scholar is included among the top collaborators of Steven C. Hillmer 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 Steven C. Hillmer. Steven C. Hillmer 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
1.
Hillmer, Steven C., et al.. (2003). Estimating the Effect of Parameter Uncertainty in Repeated Sample Surveys. Communications in Statistics - Simulation and Computation. 32(2). 367–388. 1 indexed citations
2.
Hillmer, Steven C., et al.. (1997). Towards understanding the foundations of Deming's theory of management. 2(2). 171–189. 8 indexed citations
3.
Hillmer, Steven C.. (1996). A Problem-Solving Approach to Teaching Business Statistics. The American Statistician. 50(3). 249–249. 11 indexed citations
4.
Trabelsi, Abdelwahed & Steven C. Hillmer. (1989). A Benchmarking Approach to Forecast Combination. Journal of Business and Economic Statistics. 7(3). 353–362. 15 indexed citations
5.
Hillmer, Steven C. & Abdelwahed Trabelsi. (1987). Benchmarking of Economic Time Series. Journal of the American Statistical Association. 82(400). 1064–1071. 45 indexed citations
6.
Hillmer, Steven C., et al.. (1987). Multicollinearity Problems in Modeling Time Series with Trading-Day Variation. Journal of Business and Economic Statistics. 5(3). 431–431. 1 indexed citations
7.
Hillmer, Steven C., et al.. (1987). MulticolIinearity Problems in Modeling Time Series With Trading-Day Variation. Journal of Business and Economic Statistics. 5(3). 431–436. 7 indexed citations
8.
Bell, William R. & Steven C. Hillmer. (1987). TIME SERIES METHODS FOR SURVEY ESTIMATION. 2 indexed citations
9.
Hillmer, Steven C.. (1985). Measures of Variability for Model-Based Seasonal Adjustment Procedures. Journal of Business and Economic Statistics. 3(1). 60–68. 12 indexed citations
10.
Bell, William R. & Steven C. Hillmer. (1985). [Comment on Ïssues Involved with the Seasonal Adjustment of Economic Time Series" by William R. Bell and Steven C. Hillmer]: Reply. Journal of Business and Economic Statistics. 3(1). 95–95. 6 indexed citations
11.
Bell, William R. & Steven C. Hillmer. (1984). Issues Involved with the Seasonal Adjustment of Time Series: Reply. Journal of Business and Economic Statistics. 2(4). 343–349. 4 indexed citations
12.
Bell, William R. & Steven C. Hillmer. (1984). [Issues Involved with the Seasonal Adjustment of Economic Time Series]: Reply. Journal of Business and Economic Statistics. 2(4). 343–343. 2 indexed citations
13.
Bell, William R. & Steven C. Hillmer. (1984). Issues Involved With the Seasonal Adjustment of Economic Time Series. Journal of Business and Economic Statistics. 2(4). 291–320. 70 indexed citations
14.
Bell, William R. & Steven C. Hillmer. (1983). Modeling Time Series With Calendar Variation. Journal of the American Statistical Association. 78(383). 526–526. 83 indexed citations
15.
Bell, William R. & Steven C. Hillmer. (1983). Modeling Time Series with Calendar Variation. Journal of the American Statistical Association. 78(383). 526–534. 77 indexed citations
16.
Hillmer, Steven C. & George C. Tiao. (1982). An ARIMA-Model-Based Approach to Seasonal Adjustment. Journal of the American Statistical Association. 77(377). 63–70. 293 indexed citations
17.
Hillmer, Steven C.. (1982). Forecasting Time Series with Trading Day Variation. Journal of Forecasting. 1(4). 385–395. 22 indexed citations
18.
Hillmer, Steven C. & George C. Tiao. (1979). Likelihood Function of Stationary Multiple Autoregressive Moving Average Models. Journal of the American Statistical Association. 74(367). 652–660. 149 indexed citations
19.
Hillmer, Steven C. & George C. Tiao. (1979). Likelihood Function of Stationary Multiple Autoregressive Moving Average Models. Journal of the American Statistical Association. 74(367). 652–652. 29 indexed citations
20.
Tiao, George C. & Steven C. Hillmer. (1978). Statistical models for ambient concentrations of carbon monoxide, lead, and sulfate based on the LACS data. Environmental Science & Technology. 12(7). 820–828. 7 indexed citations

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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