Morane Gruenpeter

597 total citations · 1 hit paper
7 papers, 219 citations indexed

About

Morane Gruenpeter is a scholar working on Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Morane Gruenpeter has authored 7 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 5 papers in Information Systems and Management and 3 papers in Management Science and Operations Research. Recurrent topics in Morane Gruenpeter's work include Research Data Management Practices (7 papers), Scientific Computing and Data Management (5 papers) and Data Quality and Management (3 papers). Morane Gruenpeter is often cited by papers focused on Research Data Management Practices (7 papers), Scientific Computing and Data Management (5 papers) and Data Quality and Management (3 papers). Morane Gruenpeter collaborates with scholars based in France, United States and Australia. Morane Gruenpeter's co-authors include Daniel S. Katz, Tom Honeyman, Carlos Martínez-Ortiz, Michelle Barker, Anna‐Lena Lamprecht, Leyla Jael Castro, Neil Chue Hong, Fotis Psomopoulos, Jennifer Harrow and Paula Andrea Martinez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Data and Patterns.

In The Last Decade

Morane Gruenpeter

7 papers receiving 208 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.

Introducing the FAIR Principles for research software

2022 175 citations Michelle Barker, Neil Chue Hong et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Morane Gruenpeter France	4	110	95	45	28	21	7	219
Tom Honeyman France	4	110 1.0×	95 1.0×	44 1.0×	27 1.0×	22 1.0×	8	220
Mateusz Kuzak Netherlands	4	97 0.9×	97 1.0×	64 1.4×	17 0.6×	17 0.8×	12	209
Aleksandra Pawlik United Kingdom	8	89 0.8×	82 0.9×	46 1.0×	17 0.6×	20 1.0×	14	193
Stephanie van de Sandt Switzerland	4	122 1.1×	139 1.5×	29 0.6×	47 1.7×	17 0.8×	9	219
Maxi Kindling Germany	7	135 1.2×	169 1.8×	23 0.5×	75 2.7×	14 0.7×	32	243
David Power United Kingdom	8	40 0.4×	35 0.4×	31 0.7×	12 0.4×	55 2.6×	29	266
Edwin Skidmore United States	5	73 0.7×	63 0.7×	31 0.7×	15 0.5×	65 3.1×	10	173
Frank Scholze Germany	7	122 1.1×	170 1.8×	20 0.4×	56 2.0×	17 0.8×	34	233
Raj Kettimuthu United States	8	75 0.7×	81 0.9×	9 0.2×	10 0.4×	208 9.9×	23	314
Gopi Kandaswamy United States	8	227 2.1×	138 1.5×	21 0.5×	15 0.5×	311 14.8×	11	409

Countries citing papers authored by Morane Gruenpeter

Since Specialization

Citations

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

Fields of papers citing papers by Morane Gruenpeter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morane Gruenpeter

This figure shows the co-authorship network connecting the top 25 collaborators of Morane Gruenpeter. A scholar is included among the top collaborators of Morane Gruenpeter 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 Morane Gruenpeter. Morane Gruenpeter 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:

7 of 7 papers shown

1.

Barker, Michelle, Neil Chue Hong, Daniel S. Katz, et al.. (2022). Introducing the FAIR Principles for research software. Scientific Data. 9(1). 622–622. 175 indexed citations breakdown →

2.

Castro, Leyla Jael, Diego Alonso‐Álvarez, Stian Soiland‐Reyes, et al.. (2021). Implementing FAIR for research software: attitudes, advantages and challenges. Figshare. 1 indexed citations

3.

Katz, Daniel S., Morane Gruenpeter, & Tom Honeyman. (2021). Taking a fresh look at FAIR for research software. Patterns. 2(3). 100222–100222. 29 indexed citations

4.

Katz, Daniel S., Morane Gruenpeter, & Tom Honeyman. (2021). Taking a fresh look at FAIR for research software. Patterns. 2(5). 100267–100267. 5 indexed citations

5.

Gruenpeter, Morane, et al.. (2020). M2.15 Assessment report on 'FAIRness of software'. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

6.

Gruenpeter, Morane, et al.. (2020). Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive (HAL). SHILAP Revista de lepidopterología. 15(1). 16–16. 3 indexed citations

7.

Koers, Hylke, et al.. (2020). Assessment report on 'FAIRness of services'. Zenodo (CERN European Organization for Nuclear Research). 3 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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