P. Elmer

110.5k total citations
46 papers, 228 citations indexed

About

P. Elmer is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Hardware and Architecture. According to data from OpenAlex, P. Elmer has authored 46 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Nuclear and High Energy Physics and 8 papers in Hardware and Architecture. Recurrent topics in P. Elmer's work include Distributed and Parallel Computing Systems (15 papers), Particle Detector Development and Performance (11 papers) and Particle physics theoretical and experimental studies (10 papers). P. Elmer is often cited by papers focused on Distributed and Parallel Computing Systems (15 papers), Particle Detector Development and Performance (11 papers) and Particle physics theoretical and experimental studies (10 papers). P. Elmer collaborates with scholars based in United States, Switzerland and Italy. P. Elmer's co-authors include Andrew Hanushevsky, Fabrizio Furano, G. Eulisse, Shahzad Muzaffar, J. Pivarski, Zhonghong Ou, Ole Peter Grell, Jukka K. Nurminen, Tapio Niemi and P. Wittich and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Advanced Computer Science and Applications and Social History of Medicine.

In The Last Decade

P. Elmer

35 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Elmer United States	9	103	43	41	30	29	46	228
Philippe Canal United States	7	96 0.9×	35 0.8×	54 1.3×	25 0.8×	36 1.2×	42	152
P. Calafiura United States	10	128 1.2×	37 0.9×	122 3.0×	45 1.5×	41 1.4×	37	240
I. Vukotić United States	6	109 1.1×	13 0.3×	30 0.7×	27 0.9×	33 1.1×	26	127
Frank Wuerthwein United States	7	112 1.1×	20 0.5×	26 0.6×	10 0.3×	51 1.8×	24	142
G. A. Stewart Switzerland	9	234 2.3×	24 0.6×	98 2.4×	15 0.5×	109 3.8×	49	310
T. Fredian United States	8	76 0.7×	15 0.3×	72 1.8×	12 0.4×	24 0.8×	21	154
M. Holding United States	4	113 1.1×	28 0.7×	12 0.3×	18 0.6×	31 1.1×	7	144
R. C. Thomas United States	9	53 0.5×	11 0.3×	13 0.3×	29 1.0×	38 1.3×	19	157
Pere Mato Switzerland	10	207 2.0×	43 1.0×	149 3.6×	17 0.6×	83 2.9×	28	325
D. Rossetti Italy	9	195 1.9×	158 3.7×	27 0.7×	18 0.6×	9 0.3×	24	252

Countries citing papers authored by P. Elmer

Since Specialization

Citations

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

Fields of papers citing papers by P. Elmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Elmer

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

20 of 20 papers shown

Benelli, G., J. E. Davies, W. Deconinck, et al.. (2025). Training and onboarding initiatives in high energy physics experiments. Frontiers in Big Data. 8. 1497622–1497622.

Tsoi, Ho Fung, Vladimir Lončar, Ekaterina Govorkova, et al.. (2024). Symbolic Regression on FPGAs for Fast Machine Learning Inference. SHILAP Revista de lepidopterología. 295. 9036–9036. 9 indexed citations

Malik, S., et al.. (2024). Software Training Outreach In HEP. SHILAP Revista de lepidopterología. 295. 8018–8018.

Govorkova, Ekaterina, N. Chernyavskaya, Philip Harris, et al.. (2023). Knowledge Distillation for Anomaly Detection. 641–646. 1 indexed citations

Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations

Pivarski, J., P. Elmer, & D. J. Lange. (2020). Awkward Arrays in Python, C++, and Numba. Springer Link (Chiba Institute of Technology). 6 indexed citations

Abad, Alexander C., et al.. (2018). Fuzzy Logic-Controlled 6-DOF Robotic Arm Color-based Sorter with Machine Vision Feedback. International Journal of Advanced Computer Science and Applications. 9(5). 9 indexed citations

Pivarski, J., P. Elmer, Brian Bockelman, & Zhe Zhang. (2017). Fast Access to Columnar, Hierarchical Data via Code Transformation.. arXiv (Cornell University). 1 indexed citations

Pivarski, J., et al.. (2017). Fast access to columnar, hierarchically nested data via code transformation. abs 1605 2688. 253–262. 2 indexed citations

10.

Gutsche, O., M. Cremonesi, P. Elmer, et al.. (2017). Big Data in HEP: A comprehensive use case study. Journal of Physics Conference Series. 898. 72012–72012. 4 indexed citations

11.

Elmer, P., G. Eulisse, Rob Knight, et al.. (2014). Techniques and tools for measuring energy efficiency of scientific\n software applications. arXiv (Cornell University). 8 indexed citations

12.

Elmer, P.. (2013). The Miraculous Conformist: Valentine Greatrakes, the Body Politic, and the Politics of Healing in Restoration Britain. Open Research Online (The Open University). 7 indexed citations

13.

Elmer, P., B. Hegner, & L. Sexton-Kennedy. (2010). Experience with the CMS event data model. Journal of Physics Conference Series. 219(3). 32022–32022. 2 indexed citations

14.

Eulisse, G., L. Tuura, & P. Elmer. (2010). HEP C++ meets reality. Journal of Physics Conference Series. 219(3). 32007–32007. 1 indexed citations

15.

Elmer, P.. (2009). The Realities of Witchcraft and Popular Magic in Early Modern Europe: Culture, Cognition, and Everyday Life. Social History of Medicine. 22(2). 398–400.

16.

Elmer, P.. (2008). Medicine and the Market in England and Its Colonies, c. 1450-c. 1850. Social History of Medicine. 21(2). 425–426. 10 indexed citations

17.

Elmer, P., et al.. (2005). XROOTD/TXNetFile: a highly scalable architecture for data access in the ROOT environment. International Conference on Telecommunications. 46. 49 indexed citations

18.

Elmer, P., et al.. (2003). The later English trial pamphlets.

19.

Batignani, G., L. Bosisio, M. Carpinelli, et al.. (1996). Results on double-sided d.c.-coupled silicon strip detectors irradiated with photons up to 1 Mrad. Nuovo cimento della Società italiana di fisica. A, Nuclei, particles and fields. 109(9). 1309–1318. 1 indexed citations

20.

Elmer, P.. (1981). Medicine, science and the Quakers: the "Puritanism-science" debate reconsidered.. PubMed. 54(6). 265–86. 1 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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