Jan Váňa

440 total citations
13 papers, 90 citations indexed

About

Jan Váňa is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jan Váňa has authored 13 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Jan Váňa's work include Social and Cultural Dynamics (5 papers), Face and Expression Recognition (5 papers) and Contemporary Sociological Theory and Practice (4 papers). Jan Váňa is often cited by papers focused on Social and Cultural Dynamics (5 papers), Face and Expression Recognition (5 papers) and Contemporary Sociological Theory and Practice (4 papers). Jan Váňa collaborates with scholars based in Czechia, Canada and South Korea. Jan Váňa's co-authors include Martin Drahanský, Svetlana Yanushkevich, Jaegeol Yim, Eva Březinová, Ahmad Poursaberi, Vlad P. Shmerko, Marina L. Gavrilova, Ivo Provazník and Tomáš Novotný and has published in prestigious journals such as BioMed Research International, Sociology Compass and Cultural Sociology.

In The Last Decade

Jan Váňa

11 papers receiving 87 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Váňa Czechia	6	31	22	18	15	6	13	90
John Covach United States	6	13 0.4×	28 1.3×	13 0.7×	7 0.5×	2 0.3×	21	135
José A. Bowen United States	7	18 0.6×	33 1.5×	23 1.3×	4 0.3×	8 1.3×	22	156
Joanna Demers United States	5	25 0.8×	54 2.5×	14 0.8×	4 0.3×	13 2.2×	8	148
Rafael Pérez-Torres Mexico	7	18 0.6×	20 0.9×	6 0.3×	5 0.3×	2 0.3×	18	121
Hye-Won Choi South Korea	6	51 1.6×	5 0.2×	13 0.7×	43 2.9×		11	213
A. Eduardo Dias Portugal	7	38 1.2×	50 2.3×	6 0.3×	11 0.7×		16	101
Sane Yagi United Arab Emirates	8	9 0.3×	12 0.5×	5 0.3×	16 1.1×		35	215
Johannes Bjerva Denmark	12	8 0.3×	43 2.0×	5 0.3×	24 1.6×		46	364
Emily I. Dolan United States	6	11 0.4×	39 1.8×	13 0.7×		13 2.2×	12	127
Vishakh Padmakumar United States	7	14 0.5×	24 1.1×	6 0.3×	14 0.9×		13	180

Countries citing papers authored by Jan Váňa

Since Specialization

Citations

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

Fields of papers citing papers by Jan Váňa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Váňa

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Váňa. A scholar is included among the top collaborators of Jan Váňa 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 Jan Váňa. Jan Váňa 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:

13 of 13 papers shown

1.

Váňa, Jan. (2025). Towards cultural sociology of literature: The case of science fiction. Thesis Eleven. 188(1). 135–140.

2.

Váňa, Jan. (2025). Sally Rooney and Cultural Sociology of Literature: Towards Epistemological Symmetry within Literature-and-Society Research. Journal of Literary Theory. 19(1). 28–55.

3.

Váňa, Jan. (2021). Knowing through feeling: the aesthetic structure of a novel and the iconic experience of reading. American Journal of Cultural Sociology. 9(2). 211–241. 7 indexed citations

4.

Váňa, Jan. (2020). Fiction and Social Knowledge: Towards a Strong Program in the Sociology of Literature. Sotsiologicheskoe Obozrenie / Russian Sociological Review. 19(4). 14–35. 1 indexed citations

5.

Váňa, Jan. (2020). Theorizing the Social Through Literary Fiction: For a New Sociology of Literature. Cultural Sociology. 14(2). 180–200. 26 indexed citations

6.

Váňa, Jan. (2020). More than just a product: Strengthening literature in sociological analysis. Sociology Compass. 14(6). 11 indexed citations

7.

Váňa, Jan, et al.. (2015). 3D face recognition utilizing a low-cost depth sensor. 1–1. 1 indexed citations

8.

Drahanský, Martin, et al.. (2014). 3D face recognition on low-cost depth sensors. 1–4. 5 indexed citations

9.

Váňa, Jan, et al.. (2014). 3D face recognition based on the hierarchical score-level fusion classifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9075. 907507–907507. 2 indexed citations

10.

Drahanský, Martin, et al.. (2013). New Optical Methods for Liveness Detection on Fingers. BioMed Research International. 2013. 1–11. 16 indexed citations

11.

Poursaberi, Ahmad, Jan Váňa, Svetlana Yanushkevich, et al.. (2013). Facial biometrics for situational awareness systems. IET Biometrics. 2(2). 35–47. 11 indexed citations

12.

Váňa, Jan, et al.. (2012). Applying fusion in thermal face recognition. 1–7. 5 indexed citations

13.

Váňa, Jan, et al.. (2012). Thermal Face Recognition: A Fusion Approach. 39–42. 5 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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