Frank Lad

1.2k total citations
38 papers, 736 citations indexed

About

Frank Lad is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Frank Lad has authored 38 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Statistical and Nonlinear Physics and 7 papers in Management Science and Operations Research. Recurrent topics in Frank Lad's work include Statistical Mechanics and Entropy (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Forecasting Techniques and Applications (7 papers). Frank Lad is often cited by papers focused on Statistical Mechanics and Entropy (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Forecasting Techniques and Applications (7 papers). Frank Lad collaborates with scholars based in New Zealand, Italy and United States. Frank Lad's co-authors include Giuseppe Sanfilippo, Gianna Agrò, Elisabeth Slooten, Tom Leonard, Robert S. Ware, Gail Blattenberger, Jon R. Miller, Steve Dawson, William F. Taylor and James Dickey and has published in prestigious journals such as Technometrics, Biometrics and Journal of Environmental Economics and Management.

In The Last Decade

Frank Lad

32 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Lad New Zealand	12	232	198	133	114	92	38	736
Robin K. Milne Australia	18	166 0.7×	124 0.6×	77 0.6×	45 0.4×	72 0.8×	62	965
Arthur Pewsey Spain	22	684 2.9×	449 2.3×	70 0.5×	206 1.8×	60 0.7×	47	1.3k
Robert King Australia	17	484 2.1×	132 0.7×	72 0.5×	247 2.2×	18 0.2×	67	1.1k
Daniel Barry Ireland	10	301 1.3×	271 1.4×	27 0.2×	54 0.5×	123 1.3×	28	1.0k
Reza Modarres United States	16	418 1.8×	197 1.0×	23 0.2×	130 1.1×	53 0.6×	81	940
Tobias Rydén Sweden	14	268 1.2×	430 2.2×	35 0.3×	30 0.3×	221 2.4×	26	1.1k
Radu V. Craiu Canada	14	300 1.3×	145 0.7×	112 0.8×	55 0.5×	38 0.4×	50	711
Pushpa N. Rathie Brazil	14	172 0.7×	138 0.7×	49 0.4×	60 0.5×	112 1.2×	91	735
M. Bhaskara Rao United States	12	409 1.8×	194 1.0×	34 0.3×	34 0.3×	78 0.8×	39	1.1k
Chunsheng Ma United States	18	240 1.0×	158 0.8×	69 0.5×	90 0.8×	266 2.9×	90	1.2k

Countries citing papers authored by Frank Lad

Since Specialization

Citations

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

Fields of papers citing papers by Frank Lad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Lad

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Lad. A scholar is included among the top collaborators of Frank Lad 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 Frank Lad. Frank Lad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lad, Frank. (2025). Reassessing John Bell’s Response to EPR. Journal of Modern Physics. 16(7). 950–968.

Lad, Frank. (2023). Further Investigations of the Aspect/Bell Error: Maximum Entropy Assessment. Journal of Modern Physics. 14(8). 1272–1285. 1 indexed citations

Lad, Frank. (2022). Resurrecting the Prospect of Supplementary Variableswith the Principle of Local Realism. MDPI (MDPI AG). 2(1). 159–169. 2 indexed citations

Agrò, Gianna, Frank Lad, & Giuseppe Sanfilippo. (2021). Sequentially Forecasting Economic Indices Using Mixture Linear Combinations of EP Distributions. Journal of Data Science. 8(1). 101–126. 2 indexed citations

Lad, Frank. (2021). Quantum Mysteries for No One. Journal of Modern Physics. 12(9). 1366–1399. 3 indexed citations

Lad, Frank. (2020). The GHSZ Argument: A Gedankenexperiment Requiring More Denken. Entropy. 22(7). 759–759. 6 indexed citations

Lad, Frank, Giuseppe Sanfilippo, & Gianna Agrò. (2018). The Duality of Entropy/Extropy, and Completion of the Kullback Information Complex. Entropy. 20(8). 593–593. 14 indexed citations

Lad, Frank, James Dickey, & Mohammad A. Rahman. (2013). The fundamental theorem of prevision. Statistica. 50(1). 19–38. 1 indexed citations

Lad, Frank, Giuseppe Sanfilippo, & Gianna Agrò. (2012). Completing the logarithmic scoring rule for assessing probability distributions. AIP conference proceedings. 13–30. 11 indexed citations

10.

Lad, Frank, et al.. (2008). Two Moments of the Logitnormal Distribution. Communications in Statistics - Simulation and Computation. 37(7). 1263–1269. 35 indexed citations

11.

Sanfilippo, Giuseppe, Gianna Agrò, & Frank Lad. (2007). Assessing fat-tailed sequential forecast distributions for the Dow-Jones index with logarithmic scoring rules. Nova Science Publishers (Nova Science Publishers, Inc.). 1 indexed citations

12.

Lad, Frank. (2006). Objective Bayesian statistics{$\dots$}Do you buy it? Should we sell it? (comment on articles by Berger and by Goldstein). Bayesian Analysis. 1(3). 6 indexed citations

13.

Ware, Robert S. & Frank Lad. (2003). Approximating the Distribution for Sums of Products of Normal Variables. Queensland's institutional digital repository (The University of Queensland). 38. 477–477. 68 indexed citations

14.

Ware, Robert S. & Frank Lad. (2003). Approximation of Posterior Means and Variances of the Digitised Normal Distribution using Continuous Normal Approximation. Materials Today Bio. 20. 100629–100629. 1 indexed citations

15.

Lad, Frank. (1999). Assessing the foundation for Bayesian networks: a challenge to the principles and the practice. Soft Computing. 3(3). 174–180. 3 indexed citations

16.

Lad, Frank, et al.. (1996). Posterior distribution for the pulse width modulation of a square wave conditional on digital measurements of its on-off components. University of Canterbury Research Repository (University of Canterbury).

17.

Lad, Frank, James Dickey, & Mohammad A. Rahman. (1992). Numerical application of the fundamental theorem of prevision. Journal of Statistical Computation and Simulation. 40(3-4). 135–151. 4 indexed citations

18.

Blattenberger, Gail & Frank Lad. (1988). An Application of Operational-Subjective Statistical Methods to Rational Expectations. Journal of Business and Economic Statistics. 6(4). 453–464. 2 indexed citations

19.

Blattenberger, Gail & Frank Lad. (1985). Separating the Brier Score into Calibration and Refinement Components: A Graphical Exposition. The American Statistician. 39(1). 26–32. 41 indexed citations

20.

Lad, Frank. (1978). Embedding Bayes' theorem in general learning rules: Connections between idealized behaviour and empirical research on learning. British Journal of Mathematical and Statistical Psychology. 31(2). 113–125. 6 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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