Swen Boehm

455 total citations
9 papers, 147 citations indexed

About

Swen Boehm is a scholar working on Computer Networks and Communications, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Swen Boehm has authored 9 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Swen Boehm's work include Computational Drug Discovery Methods (3 papers), Advanced Data Storage Technologies (3 papers) and Software System Performance and Reliability (2 papers). Swen Boehm is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Advanced Data Storage Technologies (3 papers) and Software System Performance and Reliability (2 papers). Swen Boehm collaborates with scholars based in United States and Germany. Swen Boehm's co-authors include Thomas J. Naughton, Manjunath Gorentla Venkata, David E. Bernholdt, Howard Pritchard, Martin Schulz, Geoffroy Vallée, George Bosilca, Ryan E. Grant, Matthew Baker and Josh V. Vermaas and has published in prestigious journals such as Scientific Data, Computing in Science & Engineering and The International Journal of High Performance Computing Applications.

In The Last Decade

Swen Boehm

8 papers receiving 144 citations

Peers

Swen Boehm
Yadu Babuji United States
Patricia Suriana United States
Volker Heun Germany
Swen Boehm
Citations per year, relative to Swen Boehm Swen Boehm (= 1×) peers Davide Gadioli

Countries citing papers authored by Swen Boehm

Since Specialization
Citations

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

Fields of papers citing papers by Swen Boehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swen Boehm

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

All Works

9 of 9 papers shown
1.
Rogers, David, Rupesh Agarwal, Josh V. Vermaas, et al.. (2023). SARS-CoV2 billion-compound docking. Scientific Data. 10(1). 173–173. 14 indexed citations
2.
Moody, Adam, et al.. (2023). UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 290–300. 6 indexed citations
3.
Rao, Nageswara S. V., Neena Imam, Thomas J. Naughton, et al.. (2021). Virtual Framework for Development and Testing of Federation Software Stack. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 323–326. 4 indexed citations
4.
Gläser, Jens, Josh V. Vermaas, David Rogers, et al.. (2021). High-throughput virtual laboratory for drug discovery using massive datasets. The International Journal of High Performance Computing Applications. 35(5). 452–468. 26 indexed citations
5.
Vermaas, Josh V., Ada Sedova, Matthew Baker, et al.. (2020). Supercomputing Pipelines Search for Therapeutics Against COVID-19. Computing in Science & Engineering. 23(1). 7–16. 22 indexed citations
6.
Rao, Nageswara S. V., Neena Imam, & Swen Boehm. (2019). A Case Study of MPI Over Long Distance Connections. 1–4.
7.
Vergara, Verónica Melesse, Wayne Joubert, Swen Boehm, et al.. (2018). Are we witnessing the spectre of an HPC meltdown?. Concurrency and Computation Practice and Experience. 31(16). 1 indexed citations
8.
Park, Byung H., et al.. (2018). A Big Data Analytics Framework for HPC Log Data: Three Case Studies Using the Titan Supercomputer Log. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 571–579. 9 indexed citations
9.
Bernholdt, David E., Swen Boehm, George Bosilca, et al.. (2018). A survey of MPI usage in the US exascale computing project. Concurrency and Computation Practice and Experience. 32(3). 65 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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