Rémi Rampin

702 total citations · 1 hit paper
13 papers, 348 citations indexed

About

Rémi Rampin is a scholar working on Information Systems, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Rémi Rampin has authored 13 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Information Systems and Management and 2 papers in Computer Networks and Communications. Recurrent topics in Rémi Rampin's work include Scientific Computing and Data Management (7 papers), Research Data Management Practices (6 papers) and Cell Image Analysis Techniques (2 papers). Rémi Rampin is often cited by papers focused on Scientific Computing and Data Management (7 papers), Research Data Management Practices (6 papers) and Cell Image Analysis Techniques (2 papers). Rémi Rampin collaborates with scholars based in United States, Argentina and United Kingdom. Rémi Rampin's co-authors include Fernando Chirigati, Juliana Freire, Dennis Shasha, Hugo van Kemenade, J. R. Leeman, Leonardo Uieda, Daniel Shapero, Matthew Turk, Oliver Kennedy and Ying Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment and Information Systems.

In The Last Decade

Rémi Rampin

11 papers receiving 341 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.

Taguette: open-source qualitative data analysis

2021 178 citations Rémi Rampin et al. The Journal of Open Source Software profile →

Peers

Rémi Rampin

ISM

IS

AI

CNC

PHEOH

Hyun-Jung Park South Korea

Trina Myers Australia

Harrisen Scells Australia

Güneş Koru United States

Jonathan Grady United States

Damon McDougall United States

Randi Karlsen Norway

Hugo Huurdeman Netherlands

Pei-Yun Hsueh United States

Diane Dolezel United States

Hyun-Jung Park South Korea

Rémi Rampin

32 ×0.3

ISM

77 ×0.8

IS

176 ×2.4

AI

46 ×0.9

CNC

18 ×0.6

PHEOH

Citations per year, relative to Rémi Rampin Rémi Rampin (= 1×) peers Hyun-Jung Park

Countries citing papers authored by Rémi Rampin

Since Specialization

Citations

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

Fields of papers citing papers by Rémi Rampin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Rampin

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

All Works

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13 of 13 papers shown

1.

Rampin, Rémi, et al.. (2021). Taguette: open-source qualitative data analysis. The Journal of Open Source Software. 6(68). 3522–3522. 178 indexed citations breakdown →

2.

Rampin, Rémi, et al.. (2021). Auctus. Proceedings of the VLDB Endowment. 14(12). 2791–2794. 39 indexed citations

3.

Rampin, Rémi, et al.. (2021). An Ecosystem of Applications for Modeling Political Violence. 1. 2384–2388. 3 indexed citations

4.

Uieda, Leonardo, Rémi Rampin, Hugo van Kemenade, et al.. (2020). Pooch: A friend to fetch your data files. The Journal of Open Source Software. 5(45). 1943–1943. 9 indexed citations

5.

Rampin, Rémi, et al.. (2020). Reproducibility, preservation, and access to research with ReproZip and ReproServer. SHILAP Revista de lepidopterología. 44(1-2). 1–11. 7 indexed citations

6.

Freire, Juliana, et al.. (2019). Data Debugging and Exploration with Vizier. 1877–1880. 12 indexed citations

7.

Rampin, Rémi, et al.. (2017). Using ReproZip for Reproducibility and Library Services. SHILAP Revista de lepidopterología. 42(1). 14–14. 9 indexed citations

8.

Rampin, Rémi, et al.. (2017). ReproZip for Reproducible Research. OSF Preprints (OSF Preprints).

9.

Rampin, Rémi, et al.. (2016). ReproZip: The Reproducibility Packer. The Journal of Open Source Software. 1(8). 107–107. 5 indexed citations

10.

Rampin, Rémi, et al.. (2016). Workshop Use Case 2: ReproZip. OSF Preprints (OSF Preprints).

11.

Chirigati, Fernando, Rémi Rampin, Dennis Shasha, & Juliana Freire. (2016). ReproZip. 2085–2088. 80 indexed citations

12.

Chirigati, Fernando, et al.. (2016). A collaborative approach to computational reproducibility. Information Systems. 59. 95–97. 5 indexed citations

13.

Williams, D. N., Charles Doutriaux, Chris Harris, et al.. (2014). UV-CDAT 2.0.0. Zenodo (CERN European Organization for Nuclear Research). 1 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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