Bruno Stiglic

841 citations
18 papers · 564 indexed · 1 hit paper · h-index 5
Topics
Software Engineering Techniques and Practices (6 papers)Advanced Software Engineering Methodologies (5 papers)Software Engineering Research (4 papers)
Partner nations
SloveniaJapanGermany

In The Last Decade

Bruno Stiglic

13 papers receiving 525 citations

Hit Papers

Decision Trees: An Overview and Their Use in Medicine20022026201020182002100200300400500

Peers

Bruno Stiglic
Comparison fields: 5 of 148
  • Artificial Intelligence 175
  • Health Information Management 98
  • Information Systems 88
  • Cardiology and Cardiovascular Medicine 60
  • Epidemiology 46
Replace Md. Noor‐E‐Alam with:
Md. Noor‐E‐Alam United States
Omolola Ogunyemi United States
M.S. Leaning United Kingdom
Pedro Pereira Rodrigues Portugal
Szymon Wilk Poland
Bo Jin China
Michèle Angelaccio Italy
Peter Weller United Kingdom
Ove Wigertz Sweden
Giordano Lanzola Italy
Bruno Stiglic relative to Md. Noor‐E‐Alam United States Md. Noor‐E‐Alam's profile →
Citations per field
00.5×4.3×
Md. Noor‐E‐Alam · 1×
Citations per year

Countries citing papers authored by Bruno Stiglic

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Stiglic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Stiglic

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 12
3 0
4 3
5 3
6
Decision Trees: An Overview and Their Use in Medicinebreakdown →
506
7 0
8
Transforming backpropagation neural networks to decision trees using NN-DT cascade method
1
9 0
10 4
11 1
12 2
13 18
14 7
15
Software reusability in intelligent information systems
1
16 2
17 3
18 1

About Bruno Stiglic

Bruno Stiglic is a scholar working on Software, Information Systems and Management Information Systems, having authored 18 papers that have together received 564 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (6 papers), Advanced Software Engineering Methodologies (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Health Information Management (98 citations), Health Informatics (13 citations) and Artificial Intelligence (175 citations). Bruno Stiglic has collaborated with scholars based in Slovenia, Japan and Germany. Frequent co-authors include Peter Kokol, Ivan Rozman, Vili Podgorelec, V. Žumer, Milan Zorman, Marjan Heričko, Ryōichi Yamamoto, Petra Povalej, Christian Ohmann and Mitja Lenič. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Medical Systems and Cybernetics & Systems.

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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