Miroslav Pajić

4.1k citations
147 papers · 2.5k indexed · h-index 27
Topics
Smart Grid Security and Resilience (33 papers)Formal Methods in Verification (25 papers)Real-Time Systems Scheduling (16 papers)
Journals
SHILAP Revista de lepidopterologíaBrainIEEE Transactions on Automatic Control

In The Last Decade

Miroslav Pajić

141 papers receiving 2.4k citations

Peers

Miroslav Pajić
Comparison fields: 5 of 104
  • Control and Systems Engineering 1.2k
  • Computer Networks and Communications 924
  • Artificial Intelligence 543
  • Electrical and Electronic Engineering 528
  • Computational Theory and Mathematics 436
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Miroslav Pajić

Since Specialization
Citations

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

Fields of papers citing papers by Miroslav Pajić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miroslav Pajić

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Pajić. A scholar is included among the top collaborators of Miroslav Pajić 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 Miroslav Pajić. Miroslav Pajić 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
#WorkIndexed citations
1 0
2 0
3 10
4
Deep learning approach for automated detection of retinal pathology from ultra-widefield retinal images
5
5 6
6 25
7
Statistical Model Checking for Probabilistic Hyperproperties.
2
8
Hyperproperties for Robotics: Motion Planning via HyperLTL.
1
9 21
10
WiP Abstract: Platform for Security-Aware Design of Human-on-the-Loop Cyber-Physical Systems
1
11 3
12 51
13 15
14 14
15 40
16 1
17
A Simple Distributed Method for Control over Wireless Networks
3
18
Architecture for a fully distributed Wireless Control Network
1
19
Demo abstract: Closed-loop testing for implantable cardiac pacemakers
1
20 14

About Miroslav Pajić

Miroslav Pajić is a scholar working on Hardware and Architecture, Software and Computational Theory and Mathematics, having authored 147 papers that have together received 2.5k indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (33 papers), Formal Methods in Verification (25 papers) and Real-Time Systems Scheduling (16 papers). The work is most often cited by research in Hardware and Architecture (353 citations), Control and Systems Engineering (1.2k citations) and Computer Networks and Communications (924 citations). Miroslav Pajić has collaborated with scholars based in United States, Serbia and Canada. Frequent co-authors include George J. Pappas, Rahul Mangharam, Insup Lee, Oleg Sokolsky, Zhihao Jiang, Shreyas Sundaram, Fei Miao, James Weimer, Radoslav Ivanov and Nicola Bezzo. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and IEEE Transactions on Automatic Control.

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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