Dejan Ničković

4.0k total citations
49 papers, 465 citations indexed

About

Dejan Ničković is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence. According to data from OpenAlex, Dejan Ničković has authored 49 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Theory and Mathematics, 28 papers in Software and 15 papers in Artificial Intelligence. Recurrent topics in Dejan Ničković's work include Formal Methods in Verification (29 papers), Software Testing and Debugging Techniques (24 papers) and Software Reliability and Analysis Research (16 papers). Dejan Ničković is often cited by papers focused on Formal Methods in Verification (29 papers), Software Testing and Debugging Techniques (24 papers) and Software Reliability and Analysis Research (16 papers). Dejan Ničković collaborates with scholars based in Austria, Italy and France. Dejan Ničković's co-authors include Oded Maler, Ezio Bartocci, Thomas A. Henzinger, Kim G. Larsen, Alberto Sangiovanni‐Vincentelli, Albert Benveniste, Jean-Baptiste Raclet, Werner Damm, Roberto Passerone and Philipp Reinkemeier and has published in prestigious journals such as Journal of the ACM, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Lecture notes in computer science.

In The Last Decade

Dejan Ničković

44 papers receiving 460 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dejan Ničković Austria 12 257 215 157 93 75 49 465
Cristina Seceleanu Sweden 11 183 0.7× 161 0.7× 159 1.0× 125 1.3× 81 1.1× 86 416
Ansgar Fehnker Australia 10 291 1.1× 137 0.6× 109 0.7× 85 0.9× 68 0.9× 35 434
Stefano Tonetta Italy 15 317 1.2× 302 1.4× 250 1.6× 66 0.7× 46 0.6× 65 535
Doron Drusinsky United States 12 295 1.1× 262 1.2× 204 1.3× 120 1.3× 76 1.0× 62 535
Darren Cofer United States 13 242 0.9× 175 0.8× 158 1.0× 143 1.5× 87 1.2× 50 517
Thai Son Hoang United Kingdom 8 257 1.0× 197 0.9× 236 1.5× 61 0.7× 101 1.3× 42 482
Laure Petrucci France 7 364 1.4× 191 0.9× 179 1.1× 109 1.2× 130 1.7× 38 569
Jianqi Shi China 9 100 0.4× 173 0.8× 112 0.7× 96 1.0× 107 1.4× 56 385
Saddek Bensalem France 13 367 1.4× 255 1.2× 221 1.4× 175 1.9× 109 1.5× 42 565
Martijn Hendriks Netherlands 9 173 0.7× 108 0.5× 94 0.6× 123 1.3× 82 1.1× 42 343

Countries citing papers authored by Dejan Ničković

Since Specialization
Citations

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

Fields of papers citing papers by Dejan Ničković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejan Ničković

This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Ničković. A scholar is included among the top collaborators of Dejan Ničković 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 Dejan Ničković. Dejan Ničković 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.
Ničković, Dejan, et al.. (2025). HPRS: hierarchical potential-based reward shaping from task specifications. Frontiers in Robotics and AI. 11. 1444188–1444188.
3.
Bartocci, Ezio, et al.. (2023). Mining Hyperproperties using Temporal Logics. ACM Transactions on Embedded Computing Systems. 22(5s). 1–26.
4.
Yamaguchi, Tomoya, Bardh Hoxha, & Dejan Ničković. (2023). RTAMT – Runtime Robustness Monitors with Application to CPS and Robotics. International Journal on Software Tools for Technology Transfer. 26(1). 79–99. 4 indexed citations
5.
Bartocci, Ezio, et al.. (2022). Adaptive testing for specification coverage and refinement in CPS models. Nonlinear Analysis Hybrid Systems. 46. 101254–101254. 4 indexed citations
6.
Beek, Maurice H. ter, Kim G. Larsen, Dejan Ničković, & Tim A. C. Willemse. (2022). Formal methods and tools for industrial critical systems. International Journal on Software Tools for Technology Transfer. 24(3). 325–330. 7 indexed citations
7.
Bartocci, Ezio, et al.. (2022). Survey on mining signal temporal logic specifications. Information and Computation. 289. 104957–104957. 11 indexed citations
8.
Bartocci, Ezio, Leonardo Mariani, Dejan Ničković, & Drishti Yadav. (2022). FIM: fault injection and mutation for Simulink. BOA (University of Milano-Bicocca). 1716–1720. 6 indexed citations
9.
Ničković, Dejan, Xin Qin, Thomas Ferrère, Cristinel Mateis, & Jyotirmoy V. Deshmukh. (2021). Specifying and detecting temporal patterns with shape expressions. International Journal on Software Tools for Technology Transfer. 23(4). 565–577. 1 indexed citations
10.
Bartocci, Ezio, et al.. (2021). CPSDebug: Automatic failure explanation in CPS models. International Journal on Software Tools for Technology Transfer. 23(5). 783–796. 14 indexed citations
11.
Ničković, Dejan, et al.. (2020). AMT 2.0: qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. 22(6). 741–758. 4 indexed citations
12.
Sánchez, César, Gerardo Schneider, Wolfgang Ahrendt, et al.. (2019). A survey of challenges for runtime verification from advanced application domains (beyond software). Chalmers Research (Chalmers University of Technology). 38 indexed citations
13.
Sánchez, César, Gerardo Schneider, Wolfgang Ahrendt, et al.. (2019). Correction to: A survey of challenges for runtime verification from advanced application domains (beyond software). Formal Methods in System Design. 55(1). 72–72. 1 indexed citations
14.
Ferrère, Thomas, Oded Maler, Dejan Ničković, & Amir Pnueli. (2019). From Real-time Logic to Timed Automata. Journal of the ACM. 66(3). 1–31. 11 indexed citations
15.
Benveniste, Albert, Benoı̂t Caillaud, Dejan Ničković, et al.. (2018). Contracts for System Design. VBN Forskningsportal (Aalborg Universitet). 12(2-3). 124–400. 103 indexed citations
16.
Bartocci, Ezio, et al.. (2018). Quantitative monitoring of STL with edit distance. Formal Methods in System Design. 53(1). 83–112. 25 indexed citations
17.
Väänänen, Mikko, et al.. (2018). Production Tests Coverage Analysis in the Simulation Environment. 1–7. 5 indexed citations
18.
Ničković, Dejan, et al.. (2017). Bounded determinization of timed automata with silent transitions. Real-Time Systems. 53(3). 291–326. 2 indexed citations
19.
Nguyen, Thang & Dejan Ničković. (2015). Assertion-based monitoring in practice – Checking correctness of an automotive sensor interface. Science of Computer Programming. 118. 40–59. 1 indexed citations
20.
Aichernig, Bernhard K., et al.. (2014). Integration of Requirements Engineering and Test-Case Generation via OSLC. 117–126. 13 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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