H. B. Newman

42.3k total citations
117 papers, 1.2k citations indexed

About

H. B. Newman is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, H. B. Newman has authored 117 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 30 papers in Nuclear and High Energy Physics and 27 papers in Information Systems and Management. Recurrent topics in H. B. Newman's work include Distributed and Parallel Computing Systems (46 papers), Advanced Data Storage Technologies (30 papers) and Scientific Computing and Data Management (25 papers). H. B. Newman is often cited by papers focused on Distributed and Parallel Computing Systems (46 papers), Advanced Data Storage Technologies (30 papers) and Scientific Computing and Data Management (25 papers). H. B. Newman collaborates with scholars based in United States, Switzerland and United Kingdom. H. B. Newman's co-authors include R. Y. Zhu, Mark H. Ellisman, John A. Orcutt, J.A. Kierstead, S. P. Stoll, C. Woody, Rui Zhu, P. W. Levy, Julian Bunn and S. Ravot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Communications of the ACM.

In The Last Decade

H. B. Newman

99 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. B. Newman United States	17	583	289	279	242	159	117	1.2k
A. Sill United States	20	227 0.4×	298 1.0×	898 3.2×	137 0.6×	104 0.7×	85	1.6k
Hywel Owen United States	20	483 0.8×	238 0.8×	68 0.2×	379 1.6×	97 0.6×	148	1.3k
R. Graciani Diaz Spain	13	281 0.5×	86 0.3×	117 0.4×	72 0.3×	69 0.4×	56	526
Kevin Brown United States	17	154 0.3×	133 0.5×	195 0.7×	198 0.8×	23 0.1×	124	937
J. White Ireland	14	184 0.3×	88 0.3×	198 0.7×	170 0.7×	26 0.2×	34	777
Subhash Saini United States	16	414 0.7×	32 0.1×	60 0.2×	60 0.2×	145 0.9×	65	950
Marco Ramilli Italy	13	214 0.4×	168 0.6×	64 0.2×	89 0.4×	42 0.3×	39	620
Róbert Lovas Hungary	19	209 0.4×	106 0.4×	1.2k 4.4×	20 0.1×	29 0.2×	102	1.7k
R. van Dantzig Netherlands	12	196 0.3×	123 0.4×	265 0.9×	39 0.2×	8 0.1×	45	542
Maria Grazia Pia Italy	19	45 0.1×	774 2.7×	253 0.9×	214 0.9×	184 1.2×	127	1.3k

Countries citing papers authored by H. B. Newman

Since Specialization

Citations

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

Fields of papers citing papers by H. B. Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. B. Newman

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

All Works

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20 of 20 papers shown

Stamenkovic, M., Alexander Shmakov, M. J. Fenton, et al.. (2025). Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks. Journal of High Energy Physics. 2025(11).

Martinello, Magnos, et al.. (2024). Sliced WANs for Data-Intensive Science: Deployment Experiences and Performance Analysis. 461–474. 2 indexed citations

Wu, Kesheng, Alex Sim, Inder Monga, et al.. (2024). Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache. SHILAP Revista de lepidopterología. 295. 1044–1044. 2 indexed citations

Newman, H. B., Frank Würthwein, J. Guiang, et al.. (2024). Automated Network Services for Exascale Data Movement. SHILAP Revista de lepidopterología. 295. 1009–1009.

Nguyen, T. Q., Jean-Roch Vlimant, Olmo Cerri, et al.. (2020). Interaction networks for the identification of boosted H→bb¯ decays. Physical review. D. 102(1). 36 indexed citations

Nguyen, T. Q., Jean-Roch Vlimant, Olmo Cerri, et al.. (2019). Interaction networks for the identification of boosted Higgs to bb decays. arXiv (Cornell University). 3 indexed citations

Sirunyan, A. M., D. Anderson, J. M. Lawhorn, et al.. (2019). Measurement of B$^{0}$$_{s}$ meson production in pp and PbPb collisions at √$^{s}$NN = 5.02 TeV. SHILAP Revista de lepidopterología.

Xiang, Qiao, Yiheng Liu, Chin Guok, et al.. (2018). Fine-grained, multi-domain network resource abstraction as a fundamental primitive to enable high-performance, collaborative data sciences. IEEE International Conference on High Performance Computing, Data, and Analytics. 5. 3 indexed citations

Sirunyan, A. M., D. Anderson, Adolf Bornheim, et al.. (2018). Measurement of Jet Substructure Observables in tt¯Events from Proton-Proton Collisions at √s = 13 TeV. Americanae (AECID Library). 3 indexed citations

10.

Bockelman, Brian, et al.. (2017). HTTP as a Data Access Protocol: Trials with XrootD in CMS’s AAA Project. Journal of Physics Conference Series. 898. 62042–62042. 1 indexed citations

11.

Tu, Y., A. Apresyan, J. M. Lawhorn, et al.. (2012). Centrality dependence of dihadron correlations and azimuthal anisotropy harmonics in PbPb collisions at âSNN = 2.76 Tev. eScholarship (California Digital Library). 3 indexed citations

12.

Andrew, Lachlan L. H., David X. Wei, B. Wydrowski, et al.. (2006). A WAN-in-Lab for Protocol Development. Swinburne Research Bank (Swinburne University of Technology). 2 indexed citations

13.

Newman, H. B., et al.. (2006). Search for Randall-Sundrum excitations of gravitons decaying into two photons for CMS at LHC. Bulletin of the American Physical Society. 4 indexed citations

14.

Legrand, I., Cătălin Cîrstoiu, H. B. Newman, et al.. (2005). MonALISA: An agent based, dynamic service system to monitor, control and optimize grid base applications. Prepared for. 907–910. 1 indexed citations

15.

Ali, Arshad, M. Thomas, Conrad Steenberg, et al.. (2004). JClarens: a Java based interactive physics analysis environment for data intensive applications. 716–723. 6 indexed citations

16.

Jin, Chengzhi, David X. Wei, Steven H. Low, et al.. (2003). FAST TCP: From Background Theory to Experiments. 4 indexed citations

17.

Shafi, Aamir, et al.. (2003). DIAMOnDS- Distributed Agents for MObile and Dynamic Services. UWE Research Repository (UWE Bristol). 2 indexed citations

18.

Chaturvedi, U.K., A. Favara, M. Gataullin, et al.. (2000). Results of L3 BGO calorimeter calibration using an RFQ accelerator. IEEE Transactions on Nuclear Science. 47(6). 2101–2105. 2 indexed citations

19.

Zhu, R. Y., et al.. (1995). Scintillating crystals in a radiation environment. Nuclear Physics B - Proceedings Supplements. 44(1-3). 547–556. 9 indexed citations

20.

Gibson, W. M., A. Duane, H. B. Newman, et al.. (1978). Production of deuterons and antideuterons in proton-proton collisions at the CERN ISR. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 21(6). 189–194. 33 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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