Jean Salzemann

566 total citations
9 papers, 139 citations indexed

About

Jean Salzemann is a scholar working on Molecular Biology, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Jean Salzemann has authored 9 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Information Systems and Management and 2 papers in Computer Networks and Communications. Recurrent topics in Jean Salzemann's work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Scientific Computing and Data Management (4 papers) and Machine Learning in Bioinformatics (3 papers). Jean Salzemann is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (4 papers), Scientific Computing and Data Management (4 papers) and Machine Learning in Bioinformatics (3 papers). Jean Salzemann collaborates with scholars based in France, Germany and Italy. Jean Salzemann's co-authors include Vincent Breton, Vinod Kasam, Astrid Maaß, Martin Hofmann‐Apitius, Marc Zimmermann, Luciano Milanesi, Hurng-Chun Lee, Giulio Rastelli, Simon C. Lin and Ivan Merelli and has published in prestigious journals such as Malaria Journal, Parallel Computing and IEEE Transactions on NanoBioscience.

In The Last Decade

Jean Salzemann

9 papers receiving 134 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Salzemann France	6	60	55	43	42	27	9	139
Hurng-Chun Lee Taiwan	5	34 0.6×	42 0.8×	14 0.3×	24 0.6×	18 0.7×	5	80
Abraham Heifets Canada	7	43 0.7×	54 1.0×	33 0.8×	3 0.1×	30 1.1×	8	141
Swen Boehm United States	6	34 0.6×	78 1.4×	41 1.0×	10 0.2×	23 0.9×	9	147
Ada Sedova United States	8	105 1.8×	21 0.4×	67 1.6×	8 0.2×	17 0.6×	26	196
Austin Clyde United States	7	74 1.2×	7 0.1×	75 1.7×	7 0.2×	4 0.1×	11	149
J E Rogers United Kingdom	9	202 3.4×	19 0.3×	11 0.3×	18 0.4×	23 0.9×	11	280
W. Guan United States	7	8 0.1×	64 1.2×	10 0.2×	32 0.8×	9 0.3×	28	166
Luca Cappelletti Italy	10	88 1.5×	8 0.1×	17 0.4×	4 0.1×	8 0.3×	14	217
Christine R. Kirkpatrick United States	7	48 0.8×	7 0.1×	6 0.1×	80 1.9×	87 3.2×	18	174
Matti Heikkurinen Germany	4	16 0.3×	67 1.2×	3 0.1×	33 0.8×	27 1.0×	7	99

Countries citing papers authored by Jean Salzemann

Since Specialization

Citations

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

Fields of papers citing papers by Jean Salzemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Salzemann

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

9 of 9 papers shown

1.

Kasam, Vinod, Jean Salzemann, Gianluca Degliesposti, et al.. (2009). WISDOM-II: Screening against multiple targets implicated in malaria using computational grid infrastructures. Malaria Journal. 8(1). 88–88. 32 indexed citations

2.

Nowak, Sarah A., J.-Y. Boire, Vanessa Bloch, et al.. (2008). HOPE, an open platform for medical data management on the grid.. PubMed. 138. 34–48. 3 indexed citations

3.

Salzemann, Jean, Johan Montagnat, Astrid Maaß, et al.. (2007). Grid-enabled Virtual Screening Against Malaria. Journal of Grid Computing. 6(1). 29–43. 44 indexed citations

4.

Breton, Vincent, Martin Hofmann‐Apitius, Vinod Kasam, et al.. (2007). Virtual screening on large scale grids. Parallel Computing. 33(4-5). 289–301. 17 indexed citations

5.

Kasam, Vinod, et al.. (2007). WISDOM-II. 27–34. 2 indexed citations

6.

Kasam, Vinod, et al.. (2007). Large Scale Deployment of Molecular Docking Application on Computational Grid infrastructures for Combating Malaria. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 10. 691–700. 5 indexed citations

7.

Salzemann, Jean, et al.. (2007). Grid enabled high throughput virtual screening against four different targets implicated in malaria.. PubMed. 126. 47–54. 1 indexed citations

8.

Lee, Hurng-Chun, Jean Salzemann, Ivan Merelli, et al.. (2006). Grid-Enabled High-Throughput In Silico Screening Against Influenza A Neuraminidase. IEEE Transactions on NanoBioscience. 5(4). 288–295. 30 indexed citations

9.

Salzemann, Jean, Matthieu Reichstadt, Marc Zimmermann, et al.. (2006). Demonstration of in silico docking at a large scale on grid infrastructure.. PubMed. 120. 155–7. 5 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.

Explore authors with similar magnitude of impact