Zdravko Markov

425 total citations
31 papers, 236 citations indexed

About

Zdravko Markov is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Zdravko Markov has authored 31 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Science Applications. Recurrent topics in Zdravko Markov's work include Data Mining Algorithms and Applications (8 papers), Machine Learning and Algorithms (7 papers) and Machine Learning and Data Classification (7 papers). Zdravko Markov is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Machine Learning and Algorithms (7 papers) and Machine Learning and Data Classification (7 papers). Zdravko Markov collaborates with scholars based in United States, Czechia and Bulgaria. Zdravko Markov's co-authors include Ingrid Russell, Susan Coleman, Scott Wallace, Lawrence B. Holder, Daniel T. Larose, Wolfgang Hübner, Brian Carse, Tony Pipe, Keith Brawner and Svetla Boytcheva and has published in prestigious journals such as Computer Graphics Forum, AI Magazine and ACM Transactions on Computing Education.

In The Last Decade

Zdravko Markov

28 papers receiving 209 citations

Peers

Zdravko Markov
Nor Bahiah Ahmad Malaysia
Alessandro Longheu Italy
Penghe Chen China
Jinjiao Lin China
Zai Huang China
Elias C. Stavropoulos Greece
Elena Trichina France
Shady Shehata Canada
Tzone I. Wang Taiwan
Shitian Shen United States
Nor Bahiah Ahmad Malaysia
Zdravko Markov
Citations per year, relative to Zdravko Markov Zdravko Markov (= 1×) peers Nor Bahiah Ahmad

Countries citing papers authored by Zdravko Markov

Since Specialization
Citations

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

Fields of papers citing papers by Zdravko Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zdravko Markov

This figure shows the co-authorship network connecting the top 25 collaborators of Zdravko Markov. A scholar is included among the top collaborators of Zdravko Markov 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 Zdravko Markov. Zdravko Markov 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.
Markov, Zdravko, et al.. (2020). Unifying An Introduction To Artificial Intelligence Course Through Machine Learning Laboratory Experiences. The Cupola: Scholarship at Gettysburg College (Gettysburg College). 10.1375.1–10.1375.19. 2 indexed citations
2.
Brawner, Keith, Vasile Rus, Roman Barták, & Zdravko Markov. (2018). Report on the 31st International Florida Artificial Intelligence Research Society Conference (FLAIRS‐31). AI Magazine. 39(4). 23–24. 4 indexed citations
3.
Markov, Zdravko. (2015). MDL-based Hierarchical Clustering. 80. 471–474. 1 indexed citations
4.
Markov, Zdravko. (2013). MDL-Based Unsupervised Attribute Ranking.. The Florida AI Research Society. 1 indexed citations
5.
Russell, Ingrid, et al.. (2010). MLeXAI. ACM Transactions on Computing Education. 10(3). 1–36. 5 indexed citations
6.
Rus, Vasile, Ingrid Russell, & Zdravko Markov. (2009). MLeXAI: biomedical term classification. Journal of computing sciences in colleges. 24(5). 85–92. 1 indexed citations
7.
Russell, Ingrid, et al.. (2008). Throw Down an AI Challenge.. National Conference on Artificial Intelligence. 67–73. 2 indexed citations
8.
Russell, Ingrid, Zdravko Markov, & Susan Coleman. (2007). Project MLEXAI: applying machine learning to web document classification. Journal of computing sciences in colleges. 23(2). 226–235. 5 indexed citations
9.
Russell, Ingrid, Zdravko Markov, Lawrence B. Holder, & Diane J. Cook. (2006). The 2005 International Florida Artificial Intelligence Research Society Conference (FLAIRS-05): A Report. AI Magazine. 27(1). 109–113. 1 indexed citations
10.
Markov, Zdravko, et al.. (2006). Clue Deduction: Professor Plum Teaches Logic.. The Florida AI Research Society. 214–220. 5 indexed citations
11.
Russell, Ingrid, et al.. (2006). Pedagogical possibilities for the dice game pig. Journal of computing sciences in colleges. 21(6). 149–161. 12 indexed citations
12.
Markov, Zdravko, et al.. (2006). Enhancing Undergraduate AI Courses through Machine Learning Projects. The Cupola: Scholarship at Gettysburg College (Gettysburg College). T3E–21. 19 indexed citations
13.
Holder, Lawrence B., Zdravko Markov, & Ingrid Russell. (2006). ADVANCES IN KNOWLEDGE ACQUISITION AND REPRESENTATION. International Journal of Artificial Intelligence Tools. 15(6). 867–874. 8 indexed citations
14.
Markov, Zdravko & Ingrid Russell. (2006). An introduction to the WEKA data mining system. 367–368. 17 indexed citations
15.
Holder, Lawrence B., Ingrid Russell, Zdravko Markov, Tony Pipe, & Brian Carse. (2005). CURRENT AND FUTURE TRENDS IN FEATURE SELECTION AND EXTRACTION FOR CLASSIFICATION PROBLEMS. International Journal of Pattern Recognition and Artificial Intelligence. 19(2). 133–142. 12 indexed citations
16.
Russell, Ingrid, et al.. (2003). INTRODUCING MACHINE LEARNING FROM AN AI PERSPECTIVE. 6 indexed citations
17.
Boytcheva, Svetla & Zdravko Markov. (2002). An Algorithm for Inducing Least Generalization Under Relative Implication. The Florida AI Research Society. 322–326. 1 indexed citations
18.
Markov, Zdravko. (2001). A Lattice-Based Approach to Hierarchical Clustering. The Florida AI Research Society. 389–393. 3 indexed citations
19.
Markov, Zdravko, et al.. (1988). Prolog Based Graph Representation of Polyhedra.. 187–194.
20.
Dichev, Christo, et al.. (1985). An implementation of the expert system DIGS for diagnostics. Computing and Informatics / Computers and Artificial Intelligence. 4(6). 495–502. 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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