Martins Innus

428 total citations
12 papers, 246 citations indexed

About

Martins Innus is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Martins Innus has authored 12 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Martins Innus's work include Distributed and Parallel Computing Systems (9 papers), Cloud Computing and Resource Management (8 papers) and Advanced Data Storage Technologies (7 papers). Martins Innus is often cited by papers focused on Distributed and Parallel Computing Systems (9 papers), Cloud Computing and Resource Management (8 papers) and Advanced Data Storage Technologies (7 papers). Martins Innus collaborates with scholars based in United States and Bulgaria. Martins Innus's co-authors include Robert Bermel, Rohit Bakshi, Christopher W. Tjoa, Russ Miller, Robert L. DeLeon, Matthew D. Jones, Charles M. Weeks, Thomas R. Furlani, Joseph P. White and Nikolay A. Simakov and has published in prestigious journals such as Journal of Applied Crystallography, Neuroreport and Future Generation Computer Systems.

In The Last Decade

Martins Innus

12 papers receiving 239 citations

Peers

Martins Innus

CNC

PFM

IS

MB

ISM

Stephanie Herman Sweden

Christopher Brown United Kingdom

Teresa L. Johnson United States

Wolfgang Heider Austria

Andrew J. Hutton United Kingdom

Xuepeng Fan China

Yishen Chen China

Tiffany M. Tang United States

Shiyi Zhu China

Bo Xing China

Stephanie Herman Sweden

Martins Innus

13 ×0.1

CNC

73 ×0.8

PFM

24 ×0.3

IS

150 ×3.9

MB

21 ×0.6

ISM

Citations per year, relative to Martins Innus Martins Innus (= 1×) peers Stephanie Herman

Countries citing papers authored by Martins Innus

Since Specialization

Citations

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

Fields of papers citing papers by Martins Innus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martins Innus

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

12 of 12 papers shown

1.

White, Joseph P., Martins Innus, Robert L. DeLeon, Matthew D. Jones, & Thomas R. Furlani. (2020). Monitoring and Analysis of Power Consumption on HPC Clusters using XDMoD. Practice and Experience in Advanced Research Computing. 112–119. 3 indexed citations

2.

Sperhac, Jeanette, Robert L. DeLeon, Thomas R. Furlani, et al.. (2019). Managing computational gateway resources with XDMoD. Future Generation Computer Systems. 98. 154–166. 2 indexed citations

3.

Simakov, Nikolay A., Robert L. DeLeon, Martins Innus, et al.. (2018). Slurm Simulator. 1–8. 10 indexed citations

4.

White, Joseph P., et al.. (2018). Automatic Characterization of HPC Job Parallel Filesystem I/O Patterns. 1–8. 3 indexed citations

5.

Sperhac, Jeanette, Martins Innus, Nikolay A. Simakov, et al.. (2018). Federating XDMoD to Monitor Affiliated Computing Resources. 580–589. 2 indexed citations

6.

White, Joseph P., Martins Innus, Matthew D. Jones, et al.. (2017). Challenges of Workload Analysis on Large HPC Systems. 1–8. 3 indexed citations

7.

Simakov, Nikolay A., Robert L. DeLeon, Joseph P. White, et al.. (2016). A Quantitative Analysis of Node Sharing on HPC Clusters Using XDMoD Application Kernels. 1–8. 8 indexed citations

8.

Gallo, Steven M., Joseph P. White, Robert L. DeLeon, et al.. (2015). Analysis of XDMoD/SUPReMM Data Using Machine Learning Techniques. 2005. 642–649. 6 indexed citations

9.

DeLeon, Robert L., Jeanette Sperhac, Nikolay A. Simakov, et al.. (2015). TAS view of XSEDE users and usage. 1–8. 3 indexed citations

10.

Gallo, Steven M., Thomas R. Furlani, Matthew D. Jones, et al.. (2015). Open XDMoD: A Tool for the Comprehensive Management of High-Performance Computing Resources. Computing in Science & Engineering. 17(4). 52–62. 72 indexed citations

11.

Bermel, Robert, Martins Innus, Christopher W. Tjoa, & Rohit Bakshi. (2003). Selective caudate atrophy in multiple sclerosis: a 3D MRI parcellation study. Neuroreport. 14(3). 335–339. 99 indexed citations

12.

Innus, Martins, et al.. (2002). SnBversion 2.2: an example of crystallographic multiprocessing. Journal of Applied Crystallography. 35(3). 374–376. 35 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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