A. Surdo

9.1k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

A. Surdo is a scholar working on Nuclear and High Energy Physics, Filtration and Separation and Fluid Flow and Transfer Processes. According to data from OpenAlex, A. Surdo has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 10 papers in Filtration and Separation and 10 papers in Fluid Flow and Transfer Processes. Recurrent topics in A. Surdo's work include Thermodynamic properties of mixtures (10 papers), Chemical and Physical Properties in Aqueous Solutions (10 papers) and Dark Matter and Cosmic Phenomena (9 papers). A. Surdo is often cited by papers focused on Thermodynamic properties of mixtures (10 papers), Chemical and Physical Properties in Aqueous Solutions (10 papers) and Dark Matter and Cosmic Phenomena (9 papers). A. Surdo collaborates with scholars based in Italy, United States and China. A. Surdo's co-authors include Frank J. Millero, Henry E. Wirth, Peter V. Chetirkin, Norman L. Guinasso, Fen Huang, Gary K. Ward, A. Aloisio, F. Cesaroni, M. Panareo and S. Mastroianni and has published in prestigious journals such as Geochimica et Cosmochimica Acta, The Journal of Physical Chemistry B and The Journal of Physical Chemistry.

In The Last Decade

A. Surdo

24 papers receiving 967 citations

Hit Papers

The apparent molal volumes and adiabatic compressibilitie... 1978 2026 1994 2010 1978 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Surdo Italy 11 739 715 244 220 156 29 1.0k
Evgeniy V. Ivanov Russia 16 726 1.0× 534 0.7× 227 0.9× 506 2.3× 64 0.4× 126 928
Pirketta Scharlin Finland 11 292 0.4× 193 0.3× 243 1.0× 197 0.9× 112 0.7× 29 638
Michael D. Pedley United States 9 359 0.5× 295 0.4× 106 0.4× 209 0.9× 28 0.2× 17 589
P. Singh India 18 1.1k 1.4× 446 0.6× 672 2.8× 804 3.7× 221 1.4× 92 1.3k
Gary K. Ward United States 9 276 0.4× 304 0.4× 127 0.5× 68 0.3× 57 0.4× 13 541
Jamey K. Hovey Switzerland 15 124 0.2× 270 0.4× 99 0.4× 133 0.6× 35 0.2× 29 593
Dorota Światła-Wójcik Poland 16 152 0.2× 123 0.2× 186 0.8× 90 0.4× 44 0.3× 47 716
Norihiro Matubayasi Japan 17 124 0.2× 220 0.3× 181 0.7× 313 1.4× 22 0.1× 32 821
Anthony F. Fucaloro United States 12 111 0.2× 96 0.1× 57 0.2× 81 0.4× 20 0.1× 35 594
Hidemi Iyota Japan 13 70 0.1× 87 0.1× 103 0.4× 360 1.6× 24 0.2× 30 489

Countries citing papers authored by A. Surdo

Since Specialization
Citations

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

Fields of papers citing papers by A. Surdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Surdo

This figure shows the co-authorship network connecting the top 25 collaborators of A. Surdo. A scholar is included among the top collaborators of A. Surdo 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 A. Surdo. A. Surdo 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.
Santo, Margherita Di, Peng-Xiong Ma, A. Surdo, Chuan Yue, & Yapeng Zhang. (2021). Cosmic Ray Helium spectrum measured by the DAMPE experiment. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 114–114. 1 indexed citations
2.
Bernardini, P., S. Cecchini, F. Cindolo, et al.. (2020). On the performances of a particle tracking detector based on triangular scintillator bars read out by silicon photomultipliers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 967. 163882–163882.
3.
Zhang, Yapeng, Maxwell Cui, Tiekuang Dong, et al.. (2019). Elemental analysis of Cosmic-Ray flux with DAMPE. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 165–165. 1 indexed citations
4.
Yue, Chuan, Jing-Jing Zang, Tiekuang Dong, A. Surdo, & S. Vitillo. (2017). Studies of Cosmic-Ray Proton Flux with the DAMPE Experiment. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 1076–1076. 1 indexed citations
6.
Millero, Frank J., Gary K. Ward, A. Surdo, & Fen Huang. (2011). Effect of pressure on the dissociation constant of boric acid in water and seawater. Geochimica et Cosmochimica Acta. 76. 83–92. 9 indexed citations
7.
Millero, Frank J., et al.. (2010). Partial Molal Volumes and Compressibilities of Phosphoric Acid and Sodium Phosphates in 0.725 Molal NaCl at 25 °C. The Journal of Physical Chemistry B. 114(49). 16099–16104. 8 indexed citations
8.
Pistilli, P., M. De Vincenzi, Miranda Parisi, et al.. (2008). Study of cosmic ray shower front and time structure with ARGO-YBJ. 4. 139–142.
9.
Celio, Paola, S. Bussino, Alberto La Rosa, et al.. (2003). ARGO-YBJ Computing Model. Data Analysis and Hardware/Software Architecture of the Processing Farm. International Cosmic Ray Conference. 2. 765–767.
10.
Aloisio, A., S. Catalanotti, Sergio Cavaliere, et al.. (2003). Local Station: the data read-out basic unit for the ARGO-YBJ experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 518(1-2). 549–553. 8 indexed citations
11.
DʼAntone, I., G. Mandrioli, P. Matteuzzi, et al.. (1989). An acquisition system based on a network of microVAX's running the real time DEC VAXELN operating system. IEEE Transactions on Nuclear Science. 36(5). 1602–1607. 1 indexed citations
13.
Surdo, A. & Frank J. Millero. (1980). The volume and compressibility change for the formation of transition metal sulfate ion pairs at 25°C. Journal of Solution Chemistry. 9(3). 163–181. 19 indexed citations
14.
Millero, Frank J., et al.. (1980). Adiabatic partial molal compressibilities of electrolytes in 0.725 m sodium chloride solutions at 25.degree.C. The Journal of Physical Chemistry. 84(21). 2728–2734. 13 indexed citations
15.
Surdo, A. & Frank J. Millero. (1980). Apparent molal volumes and adiabatic compressibilities of aqueous transition metal chlorides at 25.degree.C. The Journal of Physical Chemistry. 84(7). 710–715. 53 indexed citations
16.
Millero, Frank J., A. Surdo, Peter V. Chetirkin, & Norman L. Guinasso. (1979). The density and speed of sound of Orca basin waters1. Limnology and Oceanography. 24(2). 218–225. 24 indexed citations
18.
Surdo, A., et al.. (1979). Molal volume and adiabatic compressibility of aqueous phosphate solutions at 25.degree.C. The Journal of Physical Chemistry. 83(10). 1255–1262. 39 indexed citations
19.
Surdo, A., et al.. (1978). The apparent molal volume and adiabatic compressibility of some organic solutes in water at 25.degree.C. Journal of Chemical & Engineering Data. 23(3). 197–201. 69 indexed citations
20.
Wirth, Henry E. & A. Surdo. (1968). Solubility of benzene in concentrated aqueous solutions of tetraalkylammonium bromides. The Journal of Physical Chemistry. 72(2). 751–752. 23 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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