Roman Liška

1.8k total citations
11 papers, 1.2k citations indexed

About

Roman Liška is a scholar working on Economics and Econometrics, Health, Toxicology and Mutagenesis and Management Science and Operations Research. According to data from OpenAlex, Roman Liška has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Management Science and Operations Research. Recurrent topics in Roman Liška's work include Effects and risks of endocrine disrupting chemicals (3 papers), Economic Growth and Productivity (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Roman Liška is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (3 papers), Economic Growth and Productivity (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). Roman Liška collaborates with scholars based in Italy, Belgium and United States. Roman Liška's co-authors include Marc Hallin, Andrea Saltelli, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Nicky Rogge, Laurens Cherchye, Tom Van Puyenbroeck, Stefano Tarantola and Willem Moesen and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and International Journal of Environmental Research and Public Health.

In The Last Decade

Roman Liška

11 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roman Liška Italy	9	438	256	202	190	158	11	1.2k
Paolo Paruolo Italy	13	483 1.1×	311 1.2×	186 0.9×	142 0.7×	315 2.0×	60	1.4k
David Ardia Canada	22	1.2k 2.8×	285 1.1×	955 4.7×	288 1.5×	185 1.2×	90	2.3k
Jiahui Wang China	9	316 0.7×	220 0.9×	217 1.1×	84 0.4×	58 0.4×	14	767
Arne Henningsen Denmark	16	402 0.9×	57 0.2×	42 0.2×	152 0.8×	144 0.9×	55	1.4k
Yue Qi China	22	201 0.5×	44 0.2×	222 1.1×	379 2.0×	310 2.0×	91	1.3k
Geraldo da Silva e Souza Brazil	16	462 1.1×	170 0.7×	227 1.1×	493 2.6×	35 0.2×	103	1.2k
Mark C. Otto United States	11	186 0.4×	163 0.6×	102 0.5×	146 0.8×	112 0.7×	18	897
Carter D. Hill United States	3	385 0.9×	150 0.6×	125 0.6×	72 0.4×	50 0.3×	3	960
José Olmo United Kingdom	17	553 1.3×	186 0.7×	460 2.3×	124 0.7×	36 0.2×	103	1.1k
Thomas J. Fisher United States	14	326 0.7×	79 0.3×	116 0.6×	63 0.3×	38 0.2×	48	943

Countries citing papers authored by Roman Liška

Since Specialization

Citations

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

Fields of papers citing papers by Roman Liška

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Liška

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

All Works

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11 of 11 papers shown

Carpi, Donatella, et al.. (2023). Investigating the dependency of in vitro benchmark concentrations on exposure time in transcriptomics experiments. Toxicology in Vitro. 95. 105761–105761. 2 indexed citations

Milcamps, Anne, et al.. (2021). Reliability of the AR-CALUX®In Vitro Method Used to Detect Chemicals with (Anti)Androgen Activity: Results of an International Ring Trial. Toxicological Sciences. 184(1). 170–182. 8 indexed citations

Bernasconi, Camilla, Olavi Pelkonen, Tommy B. Andersson, et al.. (2019). Validation of in vitro methods for human cytochrome P450 enzyme induction: Outcome of a multi-laboratory study. Toxicology in Vitro. 60. 212–228. 39 indexed citations

Jeddi, Maryam Zare, Mohamad Eshaghi Gorji, Ivonne M.C.M. Rietjens, et al.. (2018). Biomonitoring and Subsequent Risk Assessment of Combined Exposure to Phthalates in Iranian Children and Adolescents. International Journal of Environmental Research and Public Health. 15(11). 2336–2336. 18 indexed citations

Alépée, Nathalie, Thomas Cole, Chantra Eskes, et al.. (2014). The EURL ECVAM - Cosmetics Europe prospective validation study of Reconstructed human Cornea-like Epithelium (RhCE)-based test methods for identifying chemicals not requiring classification and labelling for serious eye damage/eye irritation: Validation Study Report. Joint Research Centre (European Commission). 30 indexed citations

Mennecozzi, Milena, et al.. (2012). High content hepatotoxicity screening based on mode-of-action approach. Toxicology Letters. 211. S191–S191. 3 indexed citations

Cherchye, Laurens, Willem Moesen, Nicky Rogge, et al.. (2010). Creating Composite Indicators with DEA and Robustness Analysis: the Case of the Technology Achievement Index. Joint Research Centre (European Commission). 220 indexed citations

Hallin, Marc & Roman Liška. (2010). Dynamic factors in the presence of blocks. Journal of Econometrics. 163(1). 29–41. 61 indexed citations

Cariboni, Jessica, Debora Gatelli, Roman Liška, & Andrea Saltelli. (2007). The role of sensitivity analysis in ecological modelling. Ecological Modelling. 203(1-2). 167–182. 414 indexed citations

10.

Hallin, Marc & Roman Liška. (2007). Determining the Number of Factors in the General Dynamic Factor Model. Journal of the American Statistical Association. 102(478). 603–617. 378 indexed citations

11.

Cherchye, Laurens, Wim Moesen, Nicky Rogge, et al.. (2006). Creating Composite Indicators with DEA and Robustness Analysis: The Case of the Technology Achievement Index. SSRN Electronic Journal. 71 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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