Bovas Abraham

4.1k total citations
68 papers, 2.8k citations indexed

About

Bovas Abraham is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Bovas Abraham has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 21 papers in Statistics and Probability and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bovas Abraham's work include Advanced Statistical Methods and Models (14 papers), Forecasting Techniques and Applications (13 papers) and Financial Risk and Volatility Modeling (11 papers). Bovas Abraham is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Forecasting Techniques and Applications (13 papers) and Financial Risk and Volatility Modeling (11 papers). Bovas Abraham collaborates with scholars based in Canada, United States and India. Bovas Abraham's co-authors include Johannes Ledolter, George E. P. Box, Alice Z. Chuang, Asokan Mulayath Variyath, Jiahua Chen, Jock MacKay, Raymond H. Myers, Anne C. Shoemaker, Vijayan N. Nair and Thomas J. Lorenzen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Bovas Abraham

67 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bovas Abraham Canada 24 1.0k 621 550 347 335 68 2.8k
Peter Winker Germany 24 903 0.9× 266 0.4× 354 0.6× 246 0.7× 662 2.0× 117 2.8k
Georg Ch. Pflug Austria 29 1.9k 1.9× 519 0.8× 260 0.5× 289 0.8× 798 2.4× 171 4.3k
Laurence A. Baxter United States 17 401 0.4× 401 0.6× 315 0.6× 703 2.0× 184 0.5× 61 3.2k
Tim Bedford United Kingdom 27 490 0.5× 562 0.9× 1.2k 2.1× 436 1.3× 675 2.0× 106 4.2k
Frederick S. Hillier United States 26 1.1k 1.1× 206 0.3× 380 0.7× 320 0.9× 332 1.0× 71 5.2k
Christopher J. Nachtsheim United States 29 1.3k 1.2× 723 1.2× 490 0.9× 193 0.6× 195 0.6× 70 3.6k
G. J. Lieberman United States 17 583 0.6× 295 0.5× 265 0.5× 286 0.8× 237 0.7× 36 3.4k
Dick den Hertog Netherlands 30 1.6k 1.5× 293 0.5× 606 1.1× 461 1.3× 149 0.4× 152 4.1k
Pandu R. Tadikamalla United States 25 490 0.5× 721 1.2× 438 0.8× 207 0.6× 170 0.5× 73 2.2k
Emanuele Borgonovo Italy 33 663 0.6× 290 0.5× 2.4k 4.4× 206 0.6× 391 1.2× 108 4.9k

Countries citing papers authored by Bovas Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Bovas Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bovas Abraham

This figure shows the co-authorship network connecting the top 25 collaborators of Bovas Abraham. A scholar is included among the top collaborators of Bovas Abraham 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 Bovas Abraham. Bovas Abraham 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.
Balakrishna, N., et al.. (2023). Zero-modified count time series with Markovian intensities. Journal of Statistical Planning and Inference. 229. 106092–106092. 2 indexed citations
2.
Balakrishna, N., et al.. (2019). Stochastic volatility generated by product autoregressive models. Stat. 8(1). 3 indexed citations
3.
Reisen, Valdério Anselmo, et al.. (2017). Robust estimation of fractional seasonal processes: Modeling and forecasting daily average SO2 concentrations. Mathematics and Computers in Simulation. 146. 27–43. 10 indexed citations
4.
5.
Abraham, Bovas, et al.. (2013). The fractional-diffusion equation and a new distribution to model positively skewed data with heavy tails. Statistics & Probability Letters. 83(7). 1759–1769. 1 indexed citations
6.
Chen, Bei, Yulia R. Gel, N. Balakrishna, & Bovas Abraham. (2010). Computationally efficient bootstrap prediction intervals for returns and volatilities in ARCH and GARCH processes. Journal of Forecasting. 30(1). 51–71. 28 indexed citations
7.
Chen, Jiahua, Asokan Mulayath Variyath, & Bovas Abraham. (2008). Adjusted Empirical Likelihood and its Properties. Journal of Computational and Graphical Statistics. 17(2). 426–443. 146 indexed citations
8.
Nair, Vijayan N., Bovas Abraham, Jock MacKay, et al.. (1992). Taguchi's Parameter Design: A Panel Discussion. Technometrics. 34(2). 127–161. 309 indexed citations
9.
Abraham, Bovas & K. Vijayan. (1992). Time series analysis for repeated surveys. Communications in Statistics - Simulation and Computation. 21(3). 893–908. 3 indexed citations
10.
Thavaneswaran, A. & Bovas Abraham. (1991). Estimation of multivariate non-linear time series models. Journal of Statistical Planning and Inference. 29(3). 351–363. 1 indexed citations
11.
Abraham, Bovas & A. Thavaneswaran. (1991). A nonlinear time series model and estimation of missing observations. Annals of the Institute of Statistical Mathematics. 43(3). 493–504. 21 indexed citations
12.
Abraham, Bovas, et al.. (1991). A kalman filter in the presence of outliers. Communication in Statistics- Theory and Methods. 20(5-6). 1803–1820. 8 indexed citations
13.
Abraham, Bovas & Johannes Ledolter. (1986). Forecast Functions Implied by Autoregressive Integrated Moving Average Models and Other Related Forecast Procedures. International Statistical Review. 54(1). 51–51. 43 indexed citations
14.
Abraham, Bovas. (1985). Seasonal Time Series and Transfer Function Modeling. Journal of Business and Economic Statistics. 3(4). 356–361. 1 indexed citations
15.
Gooijer, Jan G. De, et al.. (1985). Methods for Determining the Order of an Autoregressive-Moving Average Process: A Survey. International Statistical Review. 53(3). 301–301. 86 indexed citations
16.
Pack, David, et al.. (1984). Short Term Forecasting: An Introduction to the Box-Jenkins Approach.. Journal of the American Statistical Association. 79(388). 945–945. 2 indexed citations
17.
Abraham, Bovas & Johannes Ledolter. (1982). Forecast efficiency of systematically sampled time series. Communication in Statistics- Theory and Methods. 11(24). 2857–2868. 3 indexed citations
18.
Abraham, Bovas, et al.. (1981). Analysis of Economic Time Series: A Synthesis. Technometrics. 23(1). 114–114. 1 indexed citations
19.
Abraham, Bovas. (1980). Intervention analysis and multiple time series. Biometrika. 67(1). 73–78. 34 indexed citations
20.
Malik, Henrick J. & Bovas Abraham. (1973). Multivariate Logistic Distributions. The Annals of Statistics. 1(3). 42 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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