John Tsimikas

991 total citations
28 papers, 679 citations indexed

About

John Tsimikas is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, John Tsimikas has authored 28 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in John Tsimikas's work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers). John Tsimikas is often cited by papers focused on Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (5 papers) and Statistical Methods and Bayesian Inference (4 papers). John Tsimikas collaborates with scholars based in United States, Greece and Australia. John Tsimikas's co-authors include George E. Tsekouras, Barbara J. McNeil, Leonidas E. Bantis, S. Georgiou, William J. Frable, Laurie L. Fajardo, W. Phil Evans, Constantine Gatsonis, Etta D. Pisano and Irena Tocino and has published in prestigious journals such as Cancer, Radiology and Biometrics.

In The Last Decade

John Tsimikas

28 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Tsimikas United States 13 154 116 114 108 98 28 679
Lizhi Xie China 19 102 0.7× 109 0.9× 50 0.4× 31 0.3× 54 0.6× 87 1.1k
Lu Li China 18 40 0.3× 32 0.3× 128 1.1× 22 0.2× 96 1.0× 74 834
James W. Bacus United States 19 35 0.2× 149 1.3× 135 1.2× 122 1.1× 226 2.3× 42 1.4k
Pan Lu China 17 61 0.4× 34 0.3× 84 0.7× 34 0.3× 105 1.1× 69 813
Yaeji Lim South Korea 17 16 0.1× 183 1.6× 141 1.2× 41 0.4× 85 0.9× 72 1.0k
Chunping Ning China 14 34 0.2× 59 0.5× 165 1.4× 47 0.4× 48 0.5× 41 501
Carlos López Spain 16 21 0.1× 90 0.8× 179 1.6× 235 2.2× 60 0.6× 67 1.2k
Candice W. Bolan United States 14 106 0.7× 167 1.4× 151 1.3× 12 0.1× 52 0.5× 48 747
Yu‐Hsuan Chen Taiwan 15 22 0.1× 135 1.2× 23 0.2× 61 0.6× 98 1.0× 42 840
Jian Hu China 17 18 0.1× 33 0.3× 64 0.6× 18 0.2× 141 1.4× 45 1.2k

Countries citing papers authored by John Tsimikas

Since Specialization
Citations

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

Fields of papers citing papers by John Tsimikas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Tsimikas

This figure shows the co-authorship network connecting the top 25 collaborators of John Tsimikas. A scholar is included among the top collaborators of John Tsimikas 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 John Tsimikas. John Tsimikas 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.
Bantis, Leonidas E., John Tsimikas, Byron J. Gajewski, et al.. (2022). Statistical assessment of the prognostic and the predictive value of biomarkers-A biomarker assessment framework with applications to traumatic brain injury biomarker studies. PubMed. 4(1). 34–48. 3 indexed citations
2.
3.
Tsekouras, George E., et al.. (2021). A Novel Approach to Image Recoloring for Color Vision Deficiency. Sensors. 21(8). 2740–2740. 13 indexed citations
4.
Bantis, Leonidas E., John Tsimikas, & S. Georgiou. (2020). Survival estimation through the cumulative hazard with monotone natural cubic splines using convex optimization-the HCNS approach. Computer Methods and Programs in Biomedicine. 190. 105357–105357. 5 indexed citations
5.
Tsekouras, George E., Vasilis Trygonis, Adonis F. Velegrakis, et al.. (2018). Modeling beach realignment using a neuro-fuzzy network optimized by a novel backtracking search algorithm. Neural Computing and Applications. 31(6). 1747–1763. 25 indexed citations
6.
Bantis, Leonidas E., Qingxiang Yan, John Tsimikas, & Ziding Feng. (2017). Estimation of smooth ROC curves for biomarkers with limits of detection. Statistics in Medicine. 36(24). 3830–3843. 5 indexed citations
7.
Bantis, Leonidas E., John Tsimikas, & S. Georgiou. (2013). Smooth ROC curves and surfaces for markers subject to a limit of detection using monotone natural cubic splines. Biometrical Journal. 55(5). 719–740. 4 indexed citations
8.
Lurie, Alan G., et al.. (2012). Recursive hierarchic segmentation analysis of bone mineral density changes on digital panoramic images. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 113(4). 549–558.e1. 18 indexed citations
9.
Bantis, Leonidas E., John Tsimikas, & S. Georgiou. (2012). Survival estimation through the cumulative hazard function with monotone natural cubic splines. Lifetime Data Analysis. 18(3). 364–396. 12 indexed citations
10.
Tsekouras, George E. & John Tsimikas. (2012). On training RBF neural networks using input–output fuzzy clustering and particle swarm optimization. Fuzzy Sets and Systems. 221. 65–89. 67 indexed citations
11.
Tsekouras, George E., et al.. (2011). Fuzzy vector quantization for image compression based on competitive agglomeration and a novel codeword migration strategy. Engineering Applications of Artificial Intelligence. 25(6). 1212–1225. 12 indexed citations
12.
Cloutier, Michelle M., Dorothy Wakefield, John Tsimikas, et al.. (2008). Organizational Attributes of Practices Successful at a Disease Management Program. The Journal of Pediatrics. 154(2). 290–295. 4 indexed citations
13.
Taylor, John A., George A. Kuchel, Poornima Hegde, et al.. (2007). Null mutation for Macrophage Migration Inhibitory Factor (MIF) is associated with less aggressive bladder cancer in mice. BMC Cancer. 7(1). 135–135. 40 indexed citations
14.
Wagner, Julie, John Tsimikas, Gina Abbott, Mary de Groot, & Alicia A. Heapy. (2006). Racial and ethnic differences in diabetic patient-reported depression symptoms, diagnosis, and treatment. Diabetes Research and Clinical Practice. 75(1). 119–122. 35 indexed citations
15.
Taylor, John A., Qing Zhu, Brian H. Irwin, et al.. (2006). Null mutation in macrophage migration inhibitory factor prevents muscle cell loss and fibrosis in partial bladder outlet obstruction. American Journal of Physiology-Renal Physiology. 291(6). F1343–F1353. 33 indexed citations
16.
Barmi, Hammou El, Subhash C. Kochar, & John Tsimikas. (2005). Likelihood ratio tests for and against ordering of the cumulative incidence functions in multiple competing risks and discrete mark variable models. Journal of Statistical Planning and Inference. 136(5). 1588–1607. 7 indexed citations
17.
Tsimikas, John, Ronald J. Bosch, Brent A. Coull, & Hammou El Barmi. (2002). Profile-Likelihood Inference for Highly Accurate Diagnostic Tests. Biometrics. 58(4). 946–956. 7 indexed citations
18.
19.
Pisano, Etta D., Laurie L. Fajardo, John Tsimikas, et al.. (1998). Rate of insufficient samples for fine-needle aspiration for nonpalpable breast lesions in a multicenter clinical trial. Cancer. 82(4). 679–688. 115 indexed citations
20.
Tsimikas, John & Johannes Ledolter. (1997). MIXED MODEL REPRESENTATION OF STATE SPACE MODELS: NEW SMOOTHING RESULTS AND THEIR APPLICATION TO REML ESTIMATION. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lizhi Xie Breakdown of academic impact, for papers by Lu Li Breakdown of academic impact, for papers by James W. Bacus Breakdown of academic impact, for papers by Pan Lu Breakdown of academic impact, for papers by Yaeji Lim Breakdown of academic impact, for papers by Chunping Ning Breakdown of academic impact, for papers by Carlos López Breakdown of academic impact, for papers by Candice W. Bolan Breakdown of academic impact, for papers by Yu‐Hsuan Chen Breakdown of academic impact, for papers by Jian Hu
Rankless by CCL
2026