Vid Podpečan

641 total citations
32 papers, 318 citations indexed

About

Vid Podpečan is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vid Podpečan has authored 32 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Vid Podpečan's work include Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Semantic Web and Ontologies (5 papers). Vid Podpečan is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Semantic Web and Ontologies (5 papers). Vid Podpečan collaborates with scholars based in Slovenia, Finland and United Kingdom. Vid Podpečan's co-authors include Nada Lavrač, Marko Robnik‐Šikonja, Kristina Gruden, Miha Grćar, Jasmina Smailović, Martin Žnidaršič, Marko Petek, Ainhoa Martínez‐Medina, Igor Mozetič and Marı́a J. Pozo and has published in prestigious journals such as Bioinformatics, PLoS ONE and Trends in Plant Science.

In The Last Decade

Vid Podpečan

30 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vid Podpečan Slovenia 9 145 71 61 59 38 32 318
Sérgio Lifschitz Brazil 10 56 0.4× 53 0.7× 107 1.8× 44 0.7× 134 3.5× 79 326
Dan Sullivan United States 10 132 0.9× 86 1.2× 50 0.8× 27 0.5× 25 0.7× 12 285
Renu Dhir India 12 141 1.0× 48 0.7× 80 1.3× 26 0.4× 94 2.5× 44 408
Nicolas Matentzoglu United Kingdom 11 245 1.7× 212 3.0× 89 1.5× 11 0.2× 13 0.3× 44 413
Stephan Philippi Germany 10 153 1.1× 294 4.1× 101 1.7× 20 0.3× 57 1.5× 18 473
Boris Capitanu United States 6 45 0.3× 125 1.8× 30 0.5× 106 1.8× 32 0.8× 17 256
Jorge González‐Domínguez Spain 13 119 0.8× 237 3.3× 42 0.7× 27 0.5× 96 2.5× 58 447
Muhammad Uzair Khan Pakistan 12 73 0.5× 15 0.2× 129 2.1× 52 0.9× 52 1.4× 58 399
Ranjan Sinha Australia 12 169 1.2× 151 2.1× 39 0.6× 38 0.6× 106 2.8× 20 415
Paolo Milazzo Italy 16 101 0.7× 424 6.0× 29 0.5× 77 1.3× 41 1.1× 86 697

Countries citing papers authored by Vid Podpečan

Since Specialization
Citations

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

Fields of papers citing papers by Vid Podpečan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vid Podpečan

This figure shows the co-authorship network connecting the top 25 collaborators of Vid Podpečan. A scholar is included among the top collaborators of Vid Podpečan 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 Vid Podpečan. Vid Podpečan 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.
2.
Francé, Janja, et al.. (2024). Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data. Harmful Algae. 139. 102728–102728. 6 indexed citations
3.
Ramšak, Živa, Vid Podpečan, Bernhard Wurzinger, et al.. (2024). Stress Knowledge Map: A knowledge graph resource for systems biology analysis of plant stress responses. Plant Communications. 5(6). 100920–100920. 8 indexed citations
4.
Podpečan, Vid, et al.. (2024). Barriers and prospects for soil biodiversity research in the Balkans. Applied Soil Ecology. 206. 105804–105804. 1 indexed citations
5.
Mozetič, Patricija, et al.. (2024). Computer Vision Techniques for Morphological Analysis and Identification of Two Pseudo-nitzschia Species. Water. 16(15). 2160–2160. 1 indexed citations
6.
Bratko, Ivan, et al.. (2024). Robot NAO integrated lesson vs. traditional lesson: Measuring learning outcomes on the topic of “societal change” and the mediating effect of students' attitudes. British Journal of Educational Technology. 56(1). 435–450. 2 indexed citations
7.
Podpečan, Vid. (2023). Can You Dance? A Study of Child–Robot Interaction and Emotional Response Using the NAO Robot. Multimodal Technologies and Interaction. 7(9). 85–85. 10 indexed citations
8.
Robnik‐Šikonja, Marko, Vid Podpečan, & Nada Lavrač. (2021). Representation Learning: Propositionalization and Embeddings. 1 indexed citations
9.
Gruden, Kristina, Marko Petek, Vid Podpečan, et al.. (2020). Ménage à Trois: Unraveling the Mechanisms Regulating Plant–Microbe–Arthropod Interactions. Trends in Plant Science. 25(12). 1215–1226. 41 indexed citations
10.
Pollak, Senja, Vid Podpečan, Dragana Miljković, Uroš Stepišnik, & Špela Vintar. (2020). The NetViz terminology visualization tool and the use cases in karstology domain modeling. Zenodo (CERN European Organization for Nuclear Research). 55–61. 2 indexed citations
11.
Pollak, Senja, et al.. (2019). Karst Exploration: Extracting Terms and Definitions from Karst Domain Corpus. Zenodo (CERN European Organization for Nuclear Research). 934–956. 6 indexed citations
12.
Podpečan, Vid, et al.. (2019). TermEnsembler. Terminology International Journal of Theoretical and Applied Issues in Specialized Communication. 93–120. 3 indexed citations
13.
14.
Podpečan, Vid, Tomaž Erjavec, Senja Pollak, et al.. (2015). Text mining platform for NLP workflow design, replication and reuse. Lirias (KU Leuven). 2 indexed citations
15.
Gruden, Kristina, Andrej Blejec, Vid Podpečan, et al.. (2015). Analysis of Glioblastoma Patients' Plasma Revealed the Presence of MicroRNAs with a Prognostic Impact on Survival and Those of Viral Origin. PLoS ONE. 10(5). e0125791–e0125791. 25 indexed citations
16.
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
17.
Miljković, Dragana, et al.. (2013). Incremental revision of biological networks from texts. 1–9.
18.
Miljković, Dragana, Igor Mozetič, Vid Podpečan, et al.. (2012). Signalling Network Construction for Modelling Plant Defence Response. PLoS ONE. 7(12). e51822–e51822. 16 indexed citations
19.
Podpečan, Vid, Nada Lavrač, Igor Mozetič, et al.. (2011). SegMine workflows for semantic microarray data analysis in Orange4WS. BMC Bioinformatics. 12(1). 416–416. 14 indexed citations
20.
Lavrač, Nada, Igor Mozetič, Vid Podpečan, et al.. (2009). Semantic subgroup discovery: Using ontologies in microarray data analysis. PubMed. 17. 5613–5616. 1 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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