Christopher Vendome

1.7k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Christopher Vendome is a scholar working on Information Systems, Software and Computer Science Applications. According to data from OpenAlex, Christopher Vendome has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 10 papers in Software and 9 papers in Computer Science Applications. Recurrent topics in Christopher Vendome's work include Software Engineering Research (23 papers), Open Source Software Innovations (9 papers) and Software Reliability and Analysis Research (7 papers). Christopher Vendome is often cited by papers focused on Software Engineering Research (23 papers), Open Source Software Innovations (9 papers) and Software Reliability and Analysis Research (7 papers). Christopher Vendome collaborates with scholars based in United States, Italy and Colombia. Christopher Vendome's co-authors include Denys Poshyvanyk, Martin White, Mario Linares‐Vásquez, Michele Tufano, Gabriele Bavota, Simone Scalabrino, Rocco Oliveto, Massimiliano Di Penta, Daniel M. Germán and Qi Luo and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Visualization and Computer Graphics and Journal of Systems and Software.

In The Last Decade

Christopher Vendome

26 papers receiving 1.0k citations

Hit Papers

Deep learning code fragments for code clone detection 2016 2026 2019 2022 2016 100 200 300
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.

  1. Deep learning code fragments for code clone detection
    2016 368 citations Martin White, Michele Tufano et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Vendome United States 15 864 527 312 230 209 27 1.0k
Carlos Bernal-Cárdenas United States 11 571 0.7× 294 0.6× 368 1.2× 221 1.0× 86 0.4× 15 832
Raymond P.L. Buse United States 11 767 0.9× 431 0.8× 111 0.4× 202 0.9× 249 1.2× 11 871
Kathryn T. Stolee United States 18 823 1.0× 532 1.0× 124 0.4× 125 0.5× 244 1.2× 58 1.1k
Venera Arnaoudova Canada 15 558 0.6× 268 0.5× 114 0.4× 149 0.6× 190 0.9× 28 658
Luca Pascarella Switzerland 16 654 0.8× 406 0.8× 122 0.4× 206 0.9× 222 1.1× 42 822
Stefan Hanenberg Germany 21 1.1k 1.3× 426 0.8× 56 0.2× 207 0.9× 759 3.6× 71 1.3k
Edward J. Schwartz United States 13 455 0.5× 351 0.7× 581 1.9× 171 0.7× 511 2.4× 25 939
Gregory M. Kapfhammer United States 20 924 1.1× 1.2k 2.4× 127 0.4× 402 1.7× 93 0.4× 70 1.4k
Andrew Meneely United States 18 1.2k 1.4× 638 1.2× 378 1.2× 267 1.2× 124 0.6× 46 1.4k
Michael Coblenz United States 10 551 0.6× 199 0.4× 58 0.2× 136 0.6× 181 0.9× 27 678

Countries citing papers authored by Christopher Vendome

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Vendome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Vendome

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Vendome. A scholar is included among the top collaborators of Christopher Vendome 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 Christopher Vendome. Christopher Vendome 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.
Schroeder, S. Andrew, et al.. (2022). Towards Reusable Building Blocks to Develop COVID-19 Simulation Models. 2022 Winter Simulation Conference (WSC). 569–580. 3 indexed citations
2.
Vendome, Christopher, et al.. (2022). How do i model my system?. 648–659. 1 indexed citations
3.
Vendome, Christopher, et al.. (2022). A Preliminary Study on Accessibility of Augmented Reality Features in Mobile Apps. 454–458. 3 indexed citations
4.
Linares‐Vásquez, Mario, Gabriele Bavota, Michele Tufano, et al.. (2020). Enabling Mutant Generation for Open- and Closed-Source Android Apps. IEEE Transactions on Software Engineering. 48(1). 186–208. 7 indexed citations
5.
Vendome, Christopher, Dhananjai M. Rao, & Philippe J. Giabbanelli. (2020). How Do Modelers Code Artificial Societies? Investigating Practices and Quality of Netlogo Codes from Large Repositories. 7 indexed citations
6.
Vendome, Christopher, et al.. (2019). Can Everyone use my app? An Empirical Study on Accessibility in Android Apps. 41–52. 49 indexed citations
7.
Scalabrino, Simone, Gabriele Bavota, Christopher Vendome, et al.. (2019). Automatically Assessing Code Understandability. IEEE Transactions on Software Engineering. 47(3). 595–613. 57 indexed citations
8.
Romano, Simone, Christopher Vendome, Giuseppe Scanniello, & Denys Poshyvanyk. (2018). A Multi-Study Investigation into Dead Code. IEEE Transactions on Software Engineering. 46(1). 71–99. 22 indexed citations
9.
Vendome, Christopher, Daniel M. Germán, Massimiliano Di Penta, et al.. (2018). To distribute or not to distribute?. 268–279. 12 indexed citations
10.
Scalabrino, Simone, Gabriele Bavota, Christopher Vendome, et al.. (2017). Automatically assessing code understandability: How far are we?. 417–427. 67 indexed citations
11.
Vendome, Christopher, Mario Linares‐Vásquez, Gabriele Bavota, et al.. (2017). Machine Learning-Based Detection of Open Source License Exceptions. 118–129. 19 indexed citations
12.
Romano, Simone, Christopher Vendome, Giuseppe Scanniello, & Denys Poshyvanyk. (2016). Are unreachable methods harmful? Results from a controlled experiment. CINECA IRIS Institutional Research Information System (University of Basilicata). 1–10. 8 indexed citations
13.
Linares‐Vásquez, Mario, Boyang Li, Christopher Vendome, & Denys Poshyvanyk. (2016). Documenting database usages and schema constraints in database-centric applications. 270–281. 15 indexed citations
14.
Vendome, Christopher, Gabriele Bavota, Massimiliano Di Penta, et al.. (2016). License usage and changes: a large-scale study on gitHub. Empirical Software Engineering. 22(3). 1537–1577. 24 indexed citations
15.
Vendome, Christopher & Denys Poshyvanyk. (2016). Assisting developers with license compliance. 811–814. 5 indexed citations
16.
Vendome, Christopher, Mario Linares‐Vásquez, Gabriele Bavota, et al.. (2015). License usage and changes: a large-scale study of Java projects on GitHub. 218–228. 16 indexed citations
17.
Vendome, Christopher, Mario Linares‐Vásquez, Gabriele Bavota, et al.. (2015). License Usage and Changes: A Large-Scale Study of Java Projects on GitHub. View. 218–228. 18 indexed citations
18.
Linares‐Vásquez, Mario, Boyang Li, Christopher Vendome, & Denys Poshyvanyk. (2015). How do Developers Document Database Usages in Source Code? (N). 21 indexed citations
19.
White, Martin, Christopher Vendome, Mario Linares‐Vásquez, & Denys Poshyvanyk. (2015). Toward Deep Learning Software Repositories. 334–345. 147 indexed citations
20.
Linares‐Vásquez, Mario, Christopher Vendome, Qi Luo, & Denys Poshyvanyk. (2015). How developers detect and fix performance bottlenecks in Android apps. 352–361. 58 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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