Amin Nikanjam

1.3k total citations · 2 hit papers
52 papers, 657 citations indexed

About

Amin Nikanjam is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Amin Nikanjam has authored 52 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 18 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Amin Nikanjam's work include Software Engineering Research (15 papers), Software Testing and Debugging Techniques (11 papers) and Evolutionary Algorithms and Applications (8 papers). Amin Nikanjam is often cited by papers focused on Software Engineering Research (15 papers), Software Testing and Debugging Techniques (11 papers) and Evolutionary Algorithms and Applications (8 papers). Amin Nikanjam collaborates with scholars based in Canada, Iran and United States. Amin Nikanjam's co-authors include Foutse Khomh, Zhen Ming Jiang, Michel C. Desmarais, Vahid Majdinasab, Arghavan Moradi Dakhel, Vahid Rafe, Adel Torkaman Rahmani, Houssem Ben Braiek, Giuliano Antoniol and Ettore Merlo and has published in prestigious journals such as IEEE Internet of Things Journal, Applied Soft Computing and Reliability Engineering & System Safety.

In The Last Decade

Amin Nikanjam

46 papers receiving 637 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GitHub Copilot AI pair programmer: Asset or Liability?

2023 189 citations Arghavan Moradi Dakhel, Vahid Majdinasab et al. Journal of Systems and Software profile →
Effective test generation using pre-trained Large Language Models and mutation testing

2024 37 citations Arghavan Moradi Dakhel, Amin Nikanjam et al. Information and Software Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amin Nikanjam Canada	14	296	242	212	89	50	52	657
Tomaž Kosar Slovenia	15	420 1.4×	411 1.7×	452 2.1×	120 1.3×	60 1.2×	42	787
Osbert Bastani United States	16	329 1.1×	183 0.8×	208 1.0×	85 1.0×	15 0.3×	48	668
Rudolf Ramler Austria	15	233 0.8×	517 2.1×	512 2.4×	178 2.0×	39 0.8×	96	870
Javier Troya Spain	17	291 1.0×	420 1.7×	594 2.8×	307 3.4×	20 0.4×	67	909
Johannes Sametinger Austria	12	299 1.0×	422 1.7×	156 0.7×	165 1.9×	44 0.9×	55	699
Haiyan Zhao China	9	423 1.4×	323 1.3×	71 0.3×	135 1.5×	14 0.3×	47	633
Alexandre Bergel Chile	14	336 1.1×	515 2.1×	233 1.1×	249 2.8×	58 1.2×	115	745
Vincent J. Hellendoorn United States	15	436 1.5×	812 3.4×	535 2.5×	235 2.6×	58 1.2×	26	1.2k
Hisham M. Haddad United States	13	201 0.7×	298 1.2×	55 0.3×	171 1.9×	48 1.0×	68	601
Samir Ouchani France	13	193 0.7×	160 0.7×	90 0.4×	133 1.5×	10 0.2×	64	546

Countries citing papers authored by Amin Nikanjam

Since Specialization

Citations

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

Fields of papers citing papers by Amin Nikanjam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Nikanjam

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bellaïche, Martine, et al.. (2026). Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet of Things Journal. 1–1.

Nikanjam, Amin, et al.. (2025). Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review. Internet of Things. 31. 101531–101531. 5 indexed citations

Nikanjam, Amin, et al.. (2025). Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. Computers & Industrial Engineering. 204. 111103–111103. 5 indexed citations

Nikanjam, Amin, et al.. (2025). The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities. Internet of Things. 34. 101735–101735. 1 indexed citations

Nikanjam, Amin, et al.. (2025). Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency. Journal of Network and Computer Applications. 239. 104176–104176. 1 indexed citations

Li, Heng, et al.. (2025). An efficient model maintenance approach for MLOps. Empirical Software Engineering. 31(1).

Nikanjam, Amin, et al.. (2025). Bugs in large language models generated code: an empirical study. Empirical Software Engineering. 30(3). 9 indexed citations

Jamshidi, Saeid, et al.. (2025). Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning. International Journal of Information Security. 24(2).

Nikanjam, Amin, et al.. (2024). Common challenges of deep reinforcement learning applications development: an empirical study. Empirical Software Engineering. 29(4). 3 indexed citations

10.

Nikanjam, Amin, et al.. (2024). Quality issues in machine learning software systems. Empirical Software Engineering. 29(6). 4 indexed citations

11.

Dakhel, Arghavan Moradi, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, & Michel C. Desmarais. (2024). Effective test generation using pre-trained Large Language Models and mutation testing. Information and Software Technology. 171. 107468–107468. 37 indexed citations breakdown →

12.

Dakhel, Arghavan Moradi, Vahid Majdinasab, Amin Nikanjam, et al.. (2023). GitHub Copilot AI pair programmer: Asset or Liability?. Journal of Systems and Software. 203. 111734–111734. 189 indexed citations breakdown →

13.

Nikanjam, Amin, et al.. (2023). A comparison of reinforcement learning frameworks for software testing tasks. Empirical Software Engineering. 28(5). 4 indexed citations

14.

Nikanjam, Amin, et al.. (2023). Bugs in machine learning-based systems: a faultload benchmark. Empirical Software Engineering. 28(3). 14 indexed citations

15.

Nikanjam, Amin, et al.. (2022). Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer. The Journal of Supercomputing. 78(8). 10455–10479. 2 indexed citations

16.

Khomh, Foutse, et al.. (2021). The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs. PolyPublie (École Polytechnique de Montréal). 1079–1088. 3 indexed citations

17.

Nikanjam, Amin, et al.. (2020). Stability analysis of the particle dynamics in bat algorithm: standard and modified versions. Engineering With Computers. 37(4). 2865–2876. 8 indexed citations

18.

Rafe, Vahid, et al.. (2018). Searching for violation of safety and liveness properties using knowledge discovery in complex systems specified through graph transformations. Information and Software Technology. 97. 110–134. 19 indexed citations

19.

Nikanjam, Amin & Adel Torkaman Rahmani. (2012). Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm. Journal of Computer Science and Technology. 27(5). 1077–1090. 3 indexed citations

20.

Rafe, Vahid, et al.. (2011). Galoan: a multi-agent approach to herd cows. Annals of Mathematics and Artificial Intelligence. 61(4). 333–348.

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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