Jeffrey Svajlenko

1.8k citations
22 papers · 933 indexed · 1 hit paper · h-index 12

Jeffrey Svajlenko

22 papers receiving 909 citations

Hit Papers

Towards a Big Data Curated Benchmark of Inter-project Cod...2014202620182022201450100150200

Peers

Jeffrey Svajlenko
Comparison fields: 5 of 23
  • Information Systems 887
  • Software 654
  • Signal Processing 571
  • Computer Networks and Communications 142
  • Artificial Intelligence 135
Replace Hitesh Sajnani with:
Hitesh Sajnani United States
Stéphane Glondu France
Hamid Abdul Basit Pakistan
Christian D. Newman United States
Tien-Duy B. Le Singapore
Zhenzhou Tian China
Davood Mazinanian Canada
Yoon‐Chan Jhi United States
Jeffrey Svajlenko relative to Hitesh Sajnani United States Hitesh Sajnani's profile →
Citations per field
00.5×1.5×2.2×
Hitesh Sajnani · 1×
Citations per year

Countries citing papers authored by Jeffrey Svajlenko

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Svajlenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Svajlenko

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Svajlenko. A scholar is included among the top collaborators of Jeffrey Svajlenko 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 Jeffrey Svajlenko. Jeffrey Svajlenko 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 3
2 17
3
CCAligner: A Token Based Large-Gap Clone Detector
11
4 2
5 76
6 29
7 25
8 56
9 3
10 9
11 117
12 195
13
Towards a Big Data Curated Benchmark of Inter-project Code Clonesbreakdown →
218
14 82
15 14
16 10
17 23
18 16
19 8
20 3

About Jeffrey Svajlenko

Jeffrey Svajlenko is a scholar working on Software, Signal Processing and Information Systems, having authored 22 papers that have together received 933 indexed citations. Recurring topics across this work include Software Engineering Research (21 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (13 papers). The work is most often cited by research in Software (654 citations), Signal Processing (571 citations) and Information Systems (887 citations). Jeffrey Svajlenko has collaborated with scholars based in Canada, Germany and China. Frequent co-authors include Chanchal K. Roy, Iman Keivanloo, Hitesh Sajnani, Vaibhav Saini, Cristina Videira Lopes, Yanzhao Wu, Yun Xu, James R. Cordy, Kevin A. Schneider and Banani Roy. Their work appears in journals such as IEEE Transactions on Software Engineering, International Journal of Software Engineering and Knowledge Engineering and Journal of Software Evolution and Process.

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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