Iman Keivanloo

1.8k total citations · 1 hit paper
55 papers, 1.2k citations indexed

About

Iman Keivanloo is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Iman Keivanloo has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Information Systems, 21 papers in Software and 18 papers in Signal Processing. Recurrent topics in Iman Keivanloo's work include Software Engineering Research (41 papers), Advanced Malware Detection Techniques (17 papers) and Web Data Mining and Analysis (15 papers). Iman Keivanloo is often cited by papers focused on Software Engineering Research (41 papers), Advanced Malware Detection Techniques (17 papers) and Web Data Mining and Analysis (15 papers). Iman Keivanloo collaborates with scholars based in Canada, United States and Iran. Iman Keivanloo's co-authors include Ying Zou, Juergen Rilling, Chanchal K. Roy, Jeffrey Svajlenko, Feng Zhang, Audris Mockus, Feng Zhang, Philippe Charland, Joanna Ng and Ahmed E. Hassan and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Systems and Software and IEEE Transactions on Services Computing.

In The Last Decade

Iman Keivanloo

54 papers receiving 1.1k 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.

Towards a Big Data Curated Benchmark of Inter-project Code Clones

2014 218 citations Jeffrey Svajlenko, Iman Keivanloo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iman Keivanloo Canada	20	1.1k	622	395	245	229	55	1.2k
Vincent J. Hellendoorn United States	15	812 0.8×	535 0.9×	194 0.5×	235 1.0×	436 1.9×	26	1.2k
G.A. Di Lucca Italy	22	1.3k 1.2×	753 1.2×	195 0.5×	429 1.8×	455 2.0×	89	1.6k
Luca Pascarella Switzerland	16	654 0.6×	406 0.7×	122 0.3×	206 0.8×	222 1.0×	42	822
Naouel Moha Canada	16	1.1k 1.1×	702 1.1×	247 0.6×	448 1.8×	349 1.5×	57	1.3k
Tse-Hsun Chen Canada	25	1.1k 1.0×	481 0.8×	131 0.3×	737 3.0×	445 1.9×	70	1.4k
Qiao Huang China	13	633 0.6×	302 0.5×	111 0.3×	208 0.8×	231 1.0×	27	761
Stan Jarzabek Singapore	20	1.1k 1.0×	536 0.9×	202 0.5×	217 0.9×	632 2.8×	99	1.2k
Andrew Meneely United States	18	1.2k 1.1×	638 1.0×	378 1.0×	267 1.1×	124 0.5×	46	1.4k
Nicolas Anquetil France	17	1.2k 1.1×	449 0.7×	103 0.3×	417 1.7×	582 2.5×	51	1.3k
Adrian Schröter Canada	12	1.4k 1.3×	688 1.1×	217 0.5×	392 1.6×	192 0.8×	21	1.5k

Countries citing papers authored by Iman Keivanloo

Since Specialization

Citations

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

Fields of papers citing papers by Iman Keivanloo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Keivanloo

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Keivanloo. A scholar is included among the top collaborators of Iman Keivanloo 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 Iman Keivanloo. Iman Keivanloo 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

1.

Singh, Jaspreet, et al.. (2022). DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. 110–115. 2 indexed citations

2.

Zhang, Feng, et al.. (2017). Expanding Queries for Code Search Using Semantically Related API Class-names. IEEE Transactions on Software Engineering. 44(11). 1070–1082. 37 indexed citations

3.

Zhang, Feng, Iman Keivanloo, & Ying Zou. (2017). Data Transformation in Cross-project Defect Prediction. Empirical Software Engineering. 22(6). 3186–3218. 52 indexed citations

4.

Rilling, Juergen, et al.. (2016). Context-awareness in the software domain—A semantic web enabled modeling approach. Journal of Systems and Software. 121. 345–357. 6 indexed citations

5.

Zhang, Feng, Audris Mockus, Iman Keivanloo, & Ying Zou. (2015). Towards building a universal defect prediction model with rank transformed predictors. Empirical Software Engineering. 21(5). 2107–2145. 87 indexed citations

6.

Zou, Ying, et al.. (2015). Quality of Experience: User's Perception about Web Services. IEEE Transactions on Services Computing. 8(3). 410–421. 25 indexed citations

7.

Keivanloo, Iman, Feng Zhang, & Ying Zou. (2015). Threshold-free code clone detection for a large-scale heterogeneous Java repository. 201–210. 20 indexed citations

8.

Wang, Shaohua, et al.. (2014). Automatic Reuse of User Inputs to Services among End-Users in Service Composition. IEEE Transactions on Services Computing. 8(3). 343–355. 3 indexed citations

9.

Wang, Shaohua, et al.. (2014). Automatic Propagation of User Inputs in Service Composition for End-Users. 73–80. 4 indexed citations

10.

Svajlenko, Jeffrey, et al.. (2014). Towards a Big Data Curated Benchmark of Inter-project Code Clones. 476–480. 218 indexed citations breakdown →

11.

Svajlenko, Jeffrey, Iman Keivanloo, & Chanchal K. Roy. (2013). Scaling classical clone detection tools for ultra-large datasets: an exploratory study. 16–22. 10 indexed citations

12.

Keivanloo, Iman, Chanchal K. Roy, & Juergen Rilling. (2013). SeByte: Scalable clone and similarity search for bytecode. Science of Computer Programming. 95. 426–444. 20 indexed citations

13.

Svajlenko, Jeffrey, Iman Keivanloo, & Chanchal K. Roy. (2013). Scaling classical clone detection tools for ultra-large datasets: An exploratory study. 8 indexed citations

14.

Keivanloo, Iman. (2012). Online sharing and integration of results from mining software repositories. International Conference on Software Engineering. 1644–1646. 3 indexed citations

15.

Keivanloo, Iman, et al.. (2012). When open source turns cold on innovation - the challenges of navigating licensing complexities in new research domains. International Conference on Software Engineering. 1447–1448. 1 indexed citations

16.

Keivanloo, Iman, et al.. (2012). Java bytecode clone detection via relaxation on code fingerprint and semantic web reasoning. 36–42. 23 indexed citations

17.

Keivanloo, Iman, et al.. (2012). A linked data platform for mining software repositories. 32–35. 27 indexed citations

18.

Keivanloo, Iman, et al.. (2012). Java bytecode clone detection via relaxation on code fingerprint and Semantic Web reasoning. 36–42. 22 indexed citations

19.

Keivanloo, Iman, Juergen Rilling, & Philippe Charland. (2011). Internet-scale Real-time Code Clone Search Via Multi-level Indexing. 23–27. 29 indexed citations

20.

Keivanloo, Iman, et al.. (2011). Towards sharing source code facts using linked data. 25–28. 21 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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