Miķelis Bickis

573 total citations
19 papers, 440 citations indexed

About

Miķelis Bickis is a scholar working on Management Science and Operations Research, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Miķelis Bickis has authored 19 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 5 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Miķelis Bickis's work include Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Miķelis Bickis is often cited by papers focused on Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Miķelis Bickis collaborates with scholars based in Canada, United States and Italy. Miķelis Bickis's co-authors include Emina Torlakovic, Ali H. Rajput, B. Rozdilsky, Nael Shoman, Andrew W. McFadden, Rajni Chibbar, Ryan J. Uitti, K. Karpinski, Douglas L. Arnold and Z. Zawidzka and has published in prestigious journals such as Food and Chemical Toxicology, Modern Pathology and The American Statistician.

In The Last Decade

Miķelis Bickis

17 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miķelis Bickis Canada 8 155 68 64 64 64 19 440
Christopher Houle United States 13 297 1.9× 110 1.6× 32 0.5× 98 1.5× 33 0.5× 34 744
Eui-Ju Choi South Korea 7 487 3.1× 60 0.9× 18 0.3× 98 1.5× 23 0.4× 8 694
Demis A. Kia United Kingdom 7 377 2.4× 102 1.5× 26 0.4× 33 0.5× 38 0.6× 10 695
Edgar Weber Germany 16 211 1.4× 18 0.3× 45 0.7× 69 1.1× 54 0.8× 28 689
Michaël E.T.I. Boerrigter United States 15 617 4.0× 17 0.3× 48 0.8× 82 1.3× 159 2.5× 30 871
Marina Bessarabova United States 11 491 3.2× 106 1.6× 13 0.2× 75 1.2× 17 0.3× 13 697
Xian‐Yang Qin Japan 14 250 1.6× 15 0.2× 62 1.0× 36 0.6× 12 0.2× 38 475
Ekaterina Kotelnikova United States 12 325 2.1× 21 0.3× 10 0.2× 41 0.6× 21 0.3× 24 503
Vijay Chauthaiwale India 15 225 1.5× 9 0.1× 13 0.2× 43 0.7× 26 0.4× 25 482

Countries citing papers authored by Miķelis Bickis

Since Specialization
Citations

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

Fields of papers citing papers by Miķelis Bickis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miķelis Bickis

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

All Works

19 of 19 papers shown
1.
Bremner, Murray R., et al.. (2012). Cayley’s hyperdeterminant: A combinatorial approach via representation theory. Linear Algebra and its Applications. 437(1). 94–112. 5 indexed citations
2.
Wang, Xikui, et al.. (2011). Clinical Trials with Exponential Survival Times. Communication in Statistics- Theory and Methods. 40(8). 1510–1524.
3.
Bickis, Miķelis. (2009). The Imprecise Logit-Normal Model and its Application to Estimating Hazard Functions. Journal of Statistical Theory and Practice. 3(1). 183–195. 2 indexed citations
4.
Soteros, C E, et al.. (2008). A clarifying comparison of methods for controlling the false discovery rate. Journal of Statistical Planning and Inference. 139(7). 2126–2137. 3 indexed citations
5.
Hossain, Alomgir, Helen H. McDuffie, Miķelis Bickis, & Punam Pahwa. (2007). Case-Control Study on Occupational Risk Factors for Soft-Tissue Sarcoma. Journal of Occupational and Environmental Medicine. 49(12). 1386–1393. 5 indexed citations
6.
Kusalik, Anthony, Miķelis Bickis, Christopher T. Lewis, et al.. (2007). Widespread and ample peptide overlapping between HCV and Homo sapiens proteomes. Peptides. 28(6). 1260–1267. 30 indexed citations
7.
Zhang, Chenhong, Miķelis Bickis, Fang‐Xiang Wu, & Anthony Kusalik. (2006). OPTIMALLY-CONNECTED HIDDEN MARKOV MODELS FOR PREDICTING MHC-BINDING PEPTIDES. Journal of Bioinformatics and Computational Biology. 4(5). 959–980. 19 indexed citations
8.
Shoman, Nael, et al.. (2004). Reduced PTEN expression predicts relapse in patients with breast carcinoma treated by tamoxifen. Modern Pathology. 18(2). 250–259. 115 indexed citations
9.
Wang, Xikui & Miķelis Bickis. (2003). One-armed bandit models with continuous and delayed responses. Mathematical Methods of Operations Research. 58(2). 209–219. 4 indexed citations
10.
Bickis, Miķelis, et al.. (1996). On the estimation of the proportion of positives in a sequence of screening experiments. Canadian Journal of Statistics. 24(1). 1–15. 7 indexed citations
11.
Bickis, Miķelis, et al.. (1995). Crisis Calls and Temporal and Lunar Variables: A Comprehensive Examination. The Journal of Psychology. 129(6). 701–711. 12 indexed citations
12.
Kobrinsky, Nathan L., Esther D. Israels, & Miķelis Bickis. (1991). Synergistic Shortening of the Bleeding Time by Desmopressin and Ethamsylate in Patients with Various Constitutional Bleeding Disorders. Journal of Pediatric Hematology/Oncology. 13(4). 437–441. 3 indexed citations
13.
Arnold, Douglas L., J. Mes, F. Bryce, et al.. (1990). A pilot study on the effects of Aroclor 1254 ingestion by rhesus and cynomolgus monkeys as a model for human ingestion of PCBs. Food and Chemical Toxicology. 28(12). 847–857. 39 indexed citations
14.
Uitti, Ryan J., et al.. (1989). Regional Metal Concentrations in Parkinson's Disease, Other Chronic Neurological Diseases, and Control Brains. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 16(3). 310–314. 112 indexed citations
15.
Bickis, Miķelis. (1989). Statistical issues in the analysis of the long-term carcinogenicity bioassay in small rodents: An empirical evaluation of statistical decision rules. Fundamental and Applied Toxicology. 12(2). 202–221. 22 indexed citations
16.
Arnold, Douglas L., P.F. McGuire, E.A. Nera, et al.. (1986). The toxicity of orally administered deoxynivalenol (vomitoxin) in rats and mice. Food and Chemical Toxicology. 24(9). 935–941. 54 indexed citations
17.
Krewski, Daniel & Miķelis Bickis. (1984). A Note on Independent and Exhaustive Events. The American Statistician. 38(4). 290–291. 2 indexed citations
18.
Krewski, Daniel, et al.. (1984). The power of the fisher permutation test in 2 × k tables. Communications in Statistics - Simulation and Computation. 13(4). 433–448. 4 indexed citations
19.
Sen, Nrisinha P., Stephen W. Seaman, Miķelis Bickis, et al.. (1982). Gas-Liquid Chromatographic-Thermal Energy Analyzer Determination of N-Nitrosodimethylamine in Beer: Collaborative Study. Journal of AOAC INTERNATIONAL. 65(3). 720–729. 2 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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