B. Holzman

18.1k total citations
34 papers, 395 citations indexed

About

B. Holzman is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, B. Holzman has authored 34 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 14 papers in Information Systems and Management and 8 papers in Hardware and Architecture. Recurrent topics in B. Holzman's work include Distributed and Parallel Computing Systems (24 papers), Advanced Data Storage Technologies (17 papers) and Scientific Computing and Data Management (14 papers). B. Holzman is often cited by papers focused on Distributed and Parallel Computing Systems (24 papers), Advanced Data Storage Technologies (17 papers) and Scientific Computing and Data Management (14 papers). B. Holzman collaborates with scholars based in United States, Switzerland and United Kingdom. B. Holzman's co-authors include I. Sfiligoi, Parag Mhashilkar, Frank Würthwein, D Bradley, Sanjay Padhi, Brian Bockelman, A Tiradani, Todd Tannenbaum, O. Gutsche and I. Macneill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics A and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

B. Holzman

31 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Holzman United States 8 192 103 62 62 44 34 395
D Bradley United States 6 176 0.9× 81 0.8× 59 1.0× 46 0.7× 40 0.9× 17 336
Parag Mhashilkar United States 4 144 0.8× 73 0.7× 43 0.7× 42 0.7× 28 0.6× 20 298
Sanjay Padhi United States 6 132 0.7× 66 0.6× 36 0.6× 122 2.0× 55 1.3× 15 399
Rob Quick United States 3 192 1.0× 126 1.2× 29 0.5× 63 1.0× 82 1.9× 13 475
Alan Blatecky United States 5 190 1.0× 125 1.2× 29 0.5× 63 1.0× 84 1.9× 10 479
Don Petravick United States 3 181 0.9× 117 1.1× 27 0.4× 63 1.0× 75 1.7× 6 456
John McGee United States 4 209 1.1× 142 1.4× 35 0.6× 62 1.0× 92 2.1× 5 530
Paul Avery United States 5 206 1.1× 130 1.3× 40 0.6× 100 1.6× 83 1.9× 8 528
I. Sfiligoi United States 12 455 2.4× 218 2.1× 139 2.2× 135 2.2× 137 3.1× 79 716
Niall Gaffney United States 12 88 0.5× 85 0.8× 21 0.3× 47 0.8× 70 1.6× 27 552

Countries citing papers authored by B. Holzman

Since Specialization
Citations

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

Fields of papers citing papers by B. Holzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Holzman

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

All Works

20 of 20 papers shown
1.
Savard, C., N. Manganelli, B. Holzman, et al.. (2024). Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server. CU Scholar (University of Colorado Boulder). 8(1). 4 indexed citations
2.
Gutsche, O., T. Bose, M. Votava, et al.. (2024). The U.S. CMS HL-LHC R&D Strategic Plan. SHILAP Revista de lepidopterología. 295. 4050–4050.
3.
Cai, T., K. Herner, T. Yang, et al.. (2023). Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. PubMed. 7(1). 11–11. 2 indexed citations
4.
Hufnagel, D., B. Holzman, Parag Mhashilkar, et al.. (2019). HPC resource integration into CMS Computing via HEPCloud. SHILAP Revista de lepidopterología. 214. 3031–3031. 2 indexed citations
5.
Bauerdick, L. A. T., Brian Bockelman, Dave Dykstra, et al.. (2017). Experience in using commercial clouds in CMS. Journal of Physics Conference Series. 898. 52019–52019. 5 indexed citations
6.
Fuess, S., Gabriele Garzoglio, B. Holzman, et al.. (2017). The HEPCloud Facility: elastic computing for High Energy Physics – The NOvA Use Case. Journal of Physics Conference Series. 898. 52014–52014. 1 indexed citations
7.
Cooper, Gregory F., S. Fuess, Gabriele Garzoglio, et al.. (2017). Virtual machine provisioning, code management, and data movement design for the Fermilab HEPCloud Facility. Journal of Physics Conference Series. 898. 52041–52041. 5 indexed citations
8.
Holzman, B., et al.. (2015). How much higher can HTCondor fly?. Journal of Physics Conference Series. 664(6). 62014–62014. 20 indexed citations
9.
Yzquierdo, A. Pérez-Calero, et al.. (2014). CMS multicore scheduling strategy. Journal of Physics Conference Series. 513(3). 32074–32074. 3 indexed citations
10.
Sfiligoi, I., S. Belforte, K Larson, et al.. (2014). CMS experience of running glideinWMS in High Availability mode. Journal of Physics Conference Series. 513(3). 32086–32086. 1 indexed citations
11.
Mhashilkar, Parag, Gabriele Garzoglio, B. Holzman, et al.. (2012). End-To-End Solution for Integrated Workload and Data Management Using Glidein WMS and Globus Online. University of North Texas Digital Library (University of North Texas). 1 indexed citations
12.
Mhashilkar, Parag, Zachary Miller, Rajkumar Kettimuthu, et al.. (2012). End-To-End Solution for Integrated Workload and Data Management using GlideinWMS and Globus Online. Journal of Physics Conference Series. 396(3). 32076–32076. 3 indexed citations
13.
Sfiligoi, I., et al.. (2011). Reducing the Human Cost of Grid Computing With glideinWMS. 217–221. 9 indexed citations
14.
Sfiligoi, I., et al.. (2011). Adapting to the Unknown With a few Simple Rules: The glideinWMS Experience. 25–28. 2 indexed citations
15.
Andrews, W., Brian Bockelman, D Bradley, et al.. (2011). Early experience on using glideinWMS in the cloud. Journal of Physics Conference Series. 331(6). 62014–62014. 2 indexed citations
16.
Bradley, D, O. Gutsche, K. Hahn, et al.. (2010). Use of glide-ins in CMS for production and analysis. Journal of Physics Conference Series. 219(7). 72013–72013. 9 indexed citations
17.
Sfiligoi, I., D Bradley, B. Holzman, et al.. (2009). The Pilot Way to Grid Resources Using glideinWMS. CERN Bulletin. 428–432. 254 indexed citations
18.
Sfiligoi, I. & B. Holzman. (2008). An objective comparison test of workload management systems. Journal of Physics Conference Series. 119(6). 62043–62043. 2 indexed citations
19.
Holzman, B.. (2002). Systematic study of Au–Au collisions with AGS experiment E917. Nuclear Physics A. 698(1-4). 643–646. 7 indexed citations
20.
Back, B. B., R. R. Betts, A. Gillitzer, et al.. (1998). A beam vertex detector using scintillating fibers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 412(2-3). 191–199. 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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