Jovan Pehcevski
- Artificial Intelligence
- Information Systems top 10%
- Communication
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Topics
- Information Retrieval and Search Behavior (4 papers)Web Data Mining and Analysis (4 papers)Semantic Web and Ontologies (3 papers)
- Journals
- Information RetrievalArXiv.orgINRIA a CCSD electronic archive server
- Partner nations
- FranceAustraliaSwitzerland
In The Last Decade
Jovan Pehcevski
10 papers receiving 78 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 70
- Information Systems 57
- Communication 19
- Computer Networks and Communications 10
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Jovan Pehcevski
This map shows the geographic impact of Jovan Pehcevski'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 Jovan Pehcevski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jovan Pehcevski more than expected).
Fields of papers citing papers by Jovan Pehcevski
This network shows the impact of papers produced by Jovan Pehcevski. 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 Jovan Pehcevski. The network helps show where Jovan Pehcevski may publish in the future.
Co-authorship network of co-authors of Jovan Pehcevski
This figure shows the co-authorship network connecting the top 25 collaborators of Jovan Pehcevski. A scholar is included among the top collaborators of Jovan Pehcevski 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 Jovan Pehcevski. Jovan Pehcevski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Localized Learning Objects Discovery and Exchange | 0 |
| 2 | 14 | |
| 3 | 12 | |
| 4 | 33 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | Evaluating Focused Retrieval Tasks | 7 |
| 8 | Combining image and structured text retrieval. Advances in XML Information Retrieval and Evaluation | 1 |
| 9 | 0 | |
| 10 | 5 | |
| 11 | Hybrid XML retrieval revisited | 1 |
| 12 | XML-search Query Language: Needs and Requirements | 1 |
| 13 | RMIT INEX experiments: XML Retrieval using Lucy and eXist | 3 |
About Jovan Pehcevski
Jovan Pehcevski is a scholar working on Communication, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 88 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (4 papers), Web Data Mining and Analysis (4 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Communication (19 citations), Information Systems (57 citations) and Artificial Intelligence (70 citations). Jovan Pehcevski has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include James A. Thom, Anne-Marie Vercoustre, Mounia Lalmas, Jaap Kamps and S. M. M. Tahaghoghi. Their work appears in journals such as Information Retrieval, ArXiv.org and INRIA a CCSD electronic archive server.
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.