Tron Foss

1.3k total citations
9 papers, 994 citations indexed

About

Tron Foss is a scholar working on Statistics and Probability, Information Systems and Software. According to data from OpenAlex, Tron Foss has authored 9 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Information Systems and 3 papers in Software. Recurrent topics in Tron Foss's work include Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and Software Engineering Techniques and Practices (2 papers). Tron Foss is often cited by papers focused on Software Reliability and Analysis Research (3 papers), Software Engineering Research (3 papers) and Software Engineering Techniques and Practices (2 papers). Tron Foss collaborates with scholars based in Norway and United Kingdom. Tron Foss's co-authors include Ulf Olsson, Sigurd Villads Troye, Roy D. Howell, Ingunn Myrtveit, Barbara Kitchenham, E. Stensrud, Einar Breivik, Njål Foldnes and Karl G. Jöreskog and has published in prestigious journals such as IEEE Transactions on Software Engineering, Structural Equation Modeling A Multidisciplinary Journal and Computational Statistics & Data Analysis.

In The Last Decade

Tron Foss

9 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tron Foss Norway	8	410	332	112	110	103	9	994
Gordon Rugg United Kingdom	17	350 0.9×	47 0.1×	128 1.1×	35 0.3×	69 0.7×	41	1.3k
Matthias Rieger Netherlands	19	701 1.7×	521 1.6×	156 1.4×	107 1.0×	8 0.1×	54	1.5k
Lesley Pek Wee Land Australia	12	303 0.7×	77 0.2×	240 2.1×	24 0.2×	34 0.3×	63	790
Robert Baumgartner Austria	18	631 1.5×	19 0.1×	582 5.2×	305 2.8×	94 0.9×	76	2.2k
Harold Sackman United States	12	220 0.5×	71 0.2×	193 1.7×	57 0.5×	102 1.0×	37	875
Ross Gore United States	18	129 0.3×	77 0.2×	253 2.3×	49 0.4×	166 1.6×	71	877
Tarek K. Abdel‐Hamid United States	21	648 1.6×	211 0.6×	57 0.5×	79 0.7×	348 3.4×	39	1.1k
Julio Olea Spain	15	85 0.2×	13 0.0×	70 0.6×	97 0.9×	273 2.7×	45	874
Mark Taylor United Kingdom	16	403 1.0×	20 0.1×	194 1.7×	152 1.4×	72 0.7×	108	1.0k
Jason D. Baker United States	18	515 1.3×	54 0.2×	189 1.7×	536 4.9×	11 0.1×	36	1.8k

Countries citing papers authored by Tron Foss

Since Specialization

Citations

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

Fields of papers citing papers by Tron Foss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tron Foss

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

All Works

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9 of 9 papers shown

Foldnes, Njål, Ulf Olsson, & Tron Foss. (2011). The effect of kurtosis on the power of two test statistics in covariance structure analysis. British Journal of Mathematical and Statistical Psychology. 65(1). 1–18. 7 indexed citations

Foss, Tron, Karl G. Jöreskog, & Ulf Olsson. (2011). Testing structural equation models: The effect of kurtosis. Computational Statistics & Data Analysis. 55(7). 2263–2275. 7 indexed citations

Foldnes, Njål, Tron Foss, & Ulf Olsson. (2011). Residuals and the Residual-Based Statistic for Testing Goodness of Fit of Structural Equation Models. Journal of Educational and Behavioral Statistics. 37(3). 367–386. 2 indexed citations

Olsson, Ulf, Tron Foss, & Einar Breivik. (2004). Two Equivalent Discrepancy Functions for Maximum Likelihood Estimation: Do Their Test Statistics Follow a Non-Central Chi-Square Distribution under Model Misspecification?. Sociological Methods & Research. 32(4). 453–500. 30 indexed citations

Olsson, Ulf, Tron Foss, & Sigurd Villads Troye. (2003). Does the ADF fit function decrease when the kurtosis increases?. British Journal of Mathematical and Statistical Psychology. 56(2). 289–303. 13 indexed citations

Foss, Tron, et al.. (2003). A Further Empirical Investigation of the Relationship Between MRE and Project Size. Empirical Software Engineering. 8(2). 139–161. 39 indexed citations

Foss, Tron, E. Stensrud, Barbara Kitchenham, & Ingunn Myrtveit. (2003). A simulation study of the model evaluation criterion mmre. IEEE Transactions on Software Engineering. 29(11). 985–995. 360 indexed citations

Stensrud, E., Tron Foss, Barbara Kitchenham, & Ingunn Myrtveit. (2003). An empirical validation of the relationship between the magnitude of relative error and project size. 3–12. 47 indexed citations

Olsson, Ulf, Tron Foss, Sigurd Villads Troye, & Roy D. Howell. (2000). The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality. Structural Equation Modeling A Multidisciplinary Journal. 7(4). 557–595. 489 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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