Massimo Dipierro

428 total citations
11 papers, 239 citations indexed

About

Massimo Dipierro is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Massimo Dipierro has authored 11 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 2 papers in Information Systems and Management. Recurrent topics in Massimo Dipierro's work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Distributed and Parallel Computing Systems (2 papers). Massimo Dipierro is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Distributed and Parallel Computing Systems (2 papers). Massimo Dipierro collaborates with scholars based in United States, Switzerland and Italy. Massimo Dipierro's co-authors include Stefano Moret, Marco L. Della Vedova, Luca de Alfaro, D. Menscher, R. Sugar, James N. Simone, J. E. Hetrick, James C. Osborn, Eric B. Gregory and D. Toussaint and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Computing in Science & Engineering.

In The Last Decade

Massimo Dipierro

10 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Massimo Dipierro United States	5	110	110	95	51	41	11	239
Paolo Bolzoni Germany	10	11 0.1×	15 0.1×	305 3.2×	12 0.2×	23 0.6×	19	350
J. Volmer Netherlands	2	29 0.3×	43 0.4×	21 0.2×	5 0.1×	27 0.7×	3	189
Jawaher Alghamdi Australia	7	150 1.4×	114 1.0×		33 0.6×	100 2.4×	13	178
Preeti Saxena India	4	115 1.0×	113 1.0×		42 0.8×	75 1.8×	9	169
Praveen Manoharan Germany	7	28 0.3×	19 0.2×	3 0.0×	9 0.2×	138 3.4×	13	187
P. Elmer United States	9	10 0.1×	28 0.3×	41 0.4×	4 0.1×	30 0.7×	46	228
Hyun Duk Kim United States	7	26 0.2×	73 0.7×	2 0.0×	15 0.3×	223 5.4×	12	257
L. Lechner Austria	5	10 0.1×	29 0.3×	48 0.5×	2 0.0×	7 0.2×	9	99
Junaed Younus Khan Canada	6	122 1.1×	147 1.3×		46 0.9×	130 3.2×	9	236
Ashfia Jannat Keya Bangladesh	7	137 1.2×	121 1.1×		52 1.0×	142 3.5×	9	247

Countries citing papers authored by Massimo Dipierro

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Dipierro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Dipierro

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

All Works

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11 of 11 papers shown

1.

Fangohr, Hans, Thomas Kluyver, & Massimo Dipierro. (2021). Jupyter in Computational Science. Computing in Science & Engineering. 23(2). 5–6. 5 indexed citations

2.

Chipalkatti, Niranjan, et al.. (2020). Loan fair values and the financial crisis. The Journal of Risk Finance. 21(5). 559–576. 3 indexed citations

3.

Vedova, Marco L. Della, et al.. (2018). Automatic Online Fake News Detection Combining Content and Social Signals. SHILAP Revista de lepidopterología. 272–279. 120 indexed citations

4.

Dipierro, Massimo. (2018). The Rise of JavaScript. Computing in Science & Engineering. 20(1). 9–10. 6 indexed citations

5.

Dipierro, Massimo. (2018). Toy Vision-Guided 3D Robotic Arm in JavaScript. Computing in Science & Engineering. 20(1). 43–49. 1 indexed citations

6.

Dipierro, Massimo, et al.. (2014). The new "Gauge Connection" at NERSC. Proceedings of 31st International Symposium on Lattice Field Theory LATTICE 2013 — PoS(LATTICE 2013). 427–427. 1 indexed citations

7.

Dipierro, Massimo. (2014). QCL: OpenCL meta programming for lattice QCD. Proceedings of 31st International Symposium on Lattice Field Theory LATTICE 2013 — PoS(LATTICE 2013). 43–43. 2 indexed citations

8.

Gámiz, E., R. T. Evans, A. X. El-Khadra, & Massimo Dipierro. (2008). A Determination of the $B^0_s$ and $B^0_d$ mixing parameters in $2+1$ lattice QCD. 354–354.

9.

Dipierro, Massimo. (2008). Visualization for Lattice QCD. 31–31. 1 indexed citations

10.

Dipierro, Massimo. (2008). Web2py Enterprise Web Framework, 2nd Ed. 4 indexed citations

11.

Aubin, Christopher, C. Bérnard, Massimo Dipierro, et al.. (2005). Semileptonic Decays ofDMesons in Three-Flavor Lattice QCD. Physical Review Letters. 94(1). 11601–11601. 96 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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