Martin Žnidaršič

1.1k total citations
35 papers, 637 citations indexed

About

Martin Žnidaršič is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Žnidaršič has authored 35 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martin Žnidaršič's work include Genetically Modified Organisms Research (5 papers), Data Mining Algorithms and Applications (4 papers) and Natural Language Processing Techniques (4 papers). Martin Žnidaršič is often cited by papers focused on Genetically Modified Organisms Research (5 papers), Data Mining Algorithms and Applications (4 papers) and Natural Language Processing Techniques (4 papers). Martin Žnidaršič collaborates with scholars based in Slovenia, United States and Portugal. Martin Žnidaršič's co-authors include Miha Grćar, Jasmina Smailović, Nada Lavrač, Marko Bohanec, Blaž Zupan, Paul Henning Krogh, Bryan S. Griffiths, Sašo Džeroski, Vladislav Rajkovič and Ivan Bratko and has published in prestigious journals such as Food Chemistry, European Journal of Operational Research and Information Sciences.

In The Last Decade

Martin Žnidaršič

34 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Žnidaršič Slovenia 12 261 104 93 77 70 35 637
Bin Peng China 16 225 0.9× 56 0.5× 73 0.8× 26 0.3× 13 0.2× 63 952
Xiaowei Wen China 13 157 0.6× 304 2.9× 25 0.3× 47 0.6× 12 0.2× 30 724
Haiyun Xu China 14 117 0.4× 97 0.9× 93 1.0× 17 0.2× 9 0.1× 35 666
Vladislav Rajkovič Slovenia 12 124 0.5× 206 2.0× 80 0.9× 15 0.2× 28 0.4× 37 487
Steffen Schulz Germany 14 366 1.4× 57 0.5× 171 1.8× 169 2.2× 25 0.4× 27 925
Daniel Jiménez Colombia 10 90 0.3× 20 0.2× 43 0.5× 135 1.8× 11 0.2× 25 567
Patrick Steyaert Belgium 12 192 0.7× 95 0.9× 181 1.9× 34 0.4× 20 0.3× 34 825
Arun Malik India 27 139 0.5× 54 0.5× 128 1.4× 91 1.2× 17 0.2× 140 1.9k
Christoph Schulze Germany 13 74 0.3× 29 0.3× 75 0.8× 23 0.3× 19 0.3× 51 451
Hang Xiong China 10 20 0.1× 50 0.5× 140 1.5× 56 0.7× 17 0.2× 33 632

Countries citing papers authored by Martin Žnidaršič

Since Specialization
Citations

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

Fields of papers citing papers by Martin Žnidaršič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Žnidaršič

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Žnidaršič. A scholar is included among the top collaborators of Martin Žnidaršič 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 Martin Žnidaršič. Martin Žnidaršič 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.
Ichev, Riste, et al.. (2024). Textual analysis of corporate sustainability reporting and corporate ESG scores. International Review of Financial Analysis. 96. 103669–103669. 15 indexed citations
2.
Ženko, Bernard, et al.. (2024). Multi-criteria assessment of sustainable mobility of employees. Journal of Decision System. 33(sup1). 270–283. 1 indexed citations
3.
Žnidaršič, Martin, et al.. (2021). Improving Effectiveness of a Coaching System Through Preference Learning. 459–465.
4.
Žnidaršič, Martin, Bernard Ženko, Marko Bohanec, et al.. (2019). Multi-criteria Modelling Approach for Ambient Assisted Coaching of Senior Adults. 87–93. 1 indexed citations
5.
Žnidaršič, Martin, et al.. (2018). BISLON: BISociative SLOgaN generation based on stylistic literary devices.. ICCC. 248–255. 2 indexed citations
6.
Smailović, Jasmina, Martin Žnidaršič, Aljoša Valentinčič, et al.. (2018). Automatic Analysis of Annual Financial Reports: A Case Study. Computación y Sistemas. 21(4). 1 indexed citations
7.
Strojnik, Lidija, M. Stopar, Emil Zlatić, et al.. (2018). Authentication of key aroma compounds in apple using stable isotope approach. Food Chemistry. 277. 766–773. 20 indexed citations
8.
Žnidaršič, Martin, et al.. (2018). Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model. Data Mining and Knowledge Discovery. 32(4). 913–948. 2 indexed citations
9.
Žnidaršič, Martin, et al.. (2015). Case-Based Slogan Production. 123–130. 3 indexed citations
10.
Žnidaršič, Martin, et al.. (2014). Implementation of a Slogan Generator.. ICCC. 340–343. 8 indexed citations
11.
Smailović, Jasmina, et al.. (2014). Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform. Information Processing & Management. 51(2). 187–203. 57 indexed citations
12.
Antulov-Fantulin, Nino, Matko Bošnjak, Martin Žnidaršič, et al.. (2011). ECML-PKDD 2011 Discovery Challenge Overview. 7. 10 indexed citations
13.
Bohanec, Marko & Martin Žnidaršič. (2008). Supporting decisions about the introduction of genetically modified crops. 404–415. 1 indexed citations
14.
Bohanec, Marko, Antoine Messéan, Sara Scatasta, et al.. (2008). A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops. Ecological Modelling. 215(1-3). 247–261. 72 indexed citations
15.
Žnidaršič, Martin & Marko Bohanec. (2007). Automatic revision of qualitative multi-attribute decision models. Foundations of Computing and Decision Sciences. 315–326. 7 indexed citations
16.
Žnidaršič, Martin, Marko Bohanec, & Blaž Zupan. (2007). Modelling impacts of cropping systems: Demands and solutions for DEX methodology. European Journal of Operational Research. 189(3). 594–608. 20 indexed citations
17.
Bohanec, Marko, Antoine Messéan, Sara Scatasta, Sašo Džeroski, & Martin Žnidaršič. (2005). A Qualitative Multi-attribute Model for Economic and Ecological Evaluation of Genetically Modified Crops.. EnviroInfo. 661–668. 6 indexed citations
18.
Žnidaršič, Martin & Marko Bohanec. (2005). Data-based revision of probability distributions in qualitative multi-attribute decision models. Intelligent Data Analysis. 9(2). 159–174. 2 indexed citations
19.
Bohanec, Marko, Sašo Džeroski, Martin Žnidaršič, et al.. (2004). Multi-Attribute Modelling of Economic and Ecological Impacts of Cropping Systems. Socio-Environmental Systems Modeling. 28(4). 387–392. 6 indexed citations
20.
Žnidaršič, Martin, Marko Bohanec, & Ivan Bratko. (2003). Categorization of Numerical Values for DEX Hierarchical Models.. Informatica (slovenia). 27. 405–409. 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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