Martin Pavlovski

460 total citations
23 papers, 260 citations indexed

About

Martin Pavlovski is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Martin Pavlovski has authored 23 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Martin Pavlovski's work include Anomaly Detection Techniques and Applications (6 papers), Machine Learning in Healthcare (4 papers) and Time Series Analysis and Forecasting (3 papers). Martin Pavlovski is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Machine Learning in Healthcare (4 papers) and Time Series Analysis and Forecasting (3 papers). Martin Pavlovski collaborates with scholars based in United States, China and North Macedonia. Martin Pavlovski's co-authors include Zoran Obradović, Tatjana Dokic, Mladen Kezunović, Lucas M. Glass, Xi Hang Cao, Ljupčo Kocarev, Lasko Basnarkov, Ivan Stojković, Vladimir B. Bajić and Weining Qian and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Power Systems and Expert Systems with Applications.

In The Last Decade

Martin Pavlovski

22 papers receiving 248 citations

Peers

Martin Pavlovski
Comparison fields: 5 of 94
  • Artificial Intelligence 105
  • Electrical and Electronic Engineering 64
  • Health Information Management 48
  • Control and Systems Engineering 44
  • Safety, Risk, Reliability and Quality 27
Replace Xi Hang Cao with:
Xi Hang Cao United States
Abdulkader Helwan Cyprus
Apeksha Koul India
Umair Muneer Butt Pakistan
Prasanalakshmi Balaji Saudi Arabia
Mohamed Yaseen Jabarulla South Korea
Ramin Ghorbani Netherlands
Sudhakar Tripathi India
Michele Bernardini Italy
M. Mostafizur Rahman United Kingdom
Xi Hang Cao United States View profile →
Citations per field, relative to Martin Pavlovski
Martin Pavlovski · 1×
Citations per year, relative to Martin Pavlovski
Martin Pavlovski · 1×

Countries citing papers authored by Martin Pavlovski

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pavlovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pavlovski

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pavlovski. A scholar is included among the top collaborators of Martin Pavlovski 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 Pavlovski. Martin Pavlovski 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
# Work Indexed citations
1 3
2 1
3 0
4 1
5 2
6 6
7 1
8 7
9 19
10 3
11 13
12 36
13 46
14 9
15 9
16 12
17 22
18 4
19 10
20 3

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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