J. C. Wells

2.8k total citations
111 papers, 2.0k citations indexed

About

J. C. Wells is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, J. C. Wells has authored 111 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Nuclear and High Energy Physics, 37 papers in Atomic and Molecular Physics, and Optics and 22 papers in Radiation. Recurrent topics in J. C. Wells's work include Nuclear physics research studies (36 papers), Atomic and Molecular Physics (22 papers) and Nuclear Physics and Applications (16 papers). J. C. Wells is often cited by papers focused on Nuclear physics research studies (36 papers), Atomic and Molecular Physics (22 papers) and Nuclear Physics and Applications (16 papers). J. C. Wells collaborates with scholars based in United States, Germany and Japan. J. C. Wells's co-authors include David Schultz, Miguel Fuentes‐Cabrera, Predrag Krstić, M. R. Strayer, Bobby G. Sumpter, M. S. Pindzola, A. S. Umar, C. O. Reinhold, F. K. McGowan and R.L. Robinson and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Neuroscience.

In The Last Decade

J. C. Wells

110 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. C. Wells United States	26	830	724	303	252	223	111	2.0k
M. Kimura Japan	20	627 0.8×	463 0.6×	106 0.3×	266 1.1×	200 0.9×	204	1.7k
Zhiming Jiang China	19	678 0.8×	624 0.9×	248 0.8×	44 0.2×	566 2.5×	106	2.0k
X. Ma China	22	1.5k 1.8×	492 0.7×	342 1.1×	301 1.2×	146 0.7×	252	2.5k
W. Scholz Austria	30	1.9k 2.2×	570 0.8×	418 1.4×	786 3.1×	187 0.8×	127	3.4k
P. Mansfield United Kingdom	41	1.5k 1.8×	2.1k 2.9×	209 0.7×	636 2.5×	121 0.5×	125	6.4k
R. N. Dexter United States	25	801 1.0×	416 0.6×	40 0.1×	429 1.7×	204 0.9×	59	2.2k
Akira Suda Japan	28	1.7k 2.1×	559 0.8×	84 0.3×	97 0.4×	122 0.5×	164	2.9k
M. P. Stöckli United States	26	1.7k 2.0×	523 0.7×	855 2.8×	159 0.6×	127 0.6×	224	3.0k
Cheng Liu China	22	810 1.0×	429 0.6×	437 1.4×	113 0.4×	67 0.3×	149	1.6k
L. J. Neuringer United States	30	414 0.5×	165 0.2×	57 0.2×	313 1.2×	531 2.4×	73	2.3k

Countries citing papers authored by J. C. Wells

Since Specialization

Citations

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

Fields of papers citing papers by J. C. Wells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Wells. 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 J. C. Wells. The network helps show where J. C. Wells may publish in the future.

Co-authorship network of co-authors of J. C. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Wells. A scholar is included among the top collaborators of J. C. Wells 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 J. C. Wells. J. C. Wells 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

Yamaguchi, Takuma, Kohei Fujita, Tsuyoshi Ichimura, et al.. (2020). Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. 1–11. 4 indexed citations

Womble, David E., et al.. (2019). Early experiences on Summit: Data analytics and AI applications. IBM Journal of Research and Development. 63(6). 2:1–2:9. 5 indexed citations

De, K., Shantenu Jha, A. Klimentov, et al.. (2016). Integration of Panda Workload Management System with supercomputers. Physics of Particles and Nuclei Letters. 13(5). 647–653.

Klimentov, A., P. Bunc̆ić, K. De, et al.. (2015). Next Generation Workload Management System For Big Data on Heterogeneous Distributed Computing. Journal of Physics Conference Series. 608. 12040–12040. 14 indexed citations

Krstić, Predrag, et al.. (2007). Reply to “Comment on ‘Characterization of the tunneling conductance across DNA bases’ ”. Physical Review E. 76(1). 13902–13902. 6 indexed citations

Protopopescu, V., et al.. (2006). GMG — A guaranteed global optimization algorithm: Application to remote sensing. Mathematical and Computer Modelling. 45(3-4). 459–472. 3 indexed citations

Krstić, Predrag, et al.. (2006). Characterization of the tunneling conductance across DNA bases. Physical Review E. 74(1). 11919–11919. 49 indexed citations

Krstić, Predrag, et al.. (2006). First-Principles Transversal DNA Conductance Deconstructed. Biophysical Journal. 91(1). L04–L06. 42 indexed citations

Fuentes‐Cabrera, Miguel, Paweł Lipkowski, Óscar Huertas, et al.. (2006). Aromaticity‐induced changes in electronic properties of size‐expanded DNA bases: Case of xC. International Journal of Quantum Chemistry. 106(11). 2339–2346. 15 indexed citations

10.

Stevenson, K.A., G. Muralidharan, L. Maya, et al.. (2002). Covalent Attachment of Gold Nanoparticles to DNA Templates. Journal of Nanoscience and Nanotechnology. 2(3). 397–404. 20 indexed citations

11.

Zhong, Jianxin, J. C. Wells, & Yehuda Braiman. (2002). Surface diffusion and size evolution of nanostructures in laser-focused atomic deposition. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 20(6). 2758–2762. 3 indexed citations

12.

Dean, D. J., M. R. Strayer, & J. C. Wells. (2001). Quantum dots in magnetic fields: Thermal response of broken-symmetry phases. Physical review. B, Condensed matter. 64(12). 6 indexed citations

13.

Barhen, J., J. C. Wells, V. Protopopescu, & Yehuda Braiman. (2000). Neuromorphic Pattern Recognition Using Arrays of Quantum Dots. 1 indexed citations

14.

Wells, J. C., et al.. (1999). ExactZ2scaling of pair production in the high-energy limit of heavy-ion collisions. Physical Review C. 59(5). 2753–2756. 21 indexed citations

15.

Wells, J. C., et al.. (1998). Light-fronts approach to electron-positron pair production in ultrarelativistic heavy-ion collisions. Physical Review A. 57(3). 1849–1861. 40 indexed citations

16.

Wells, J. C., et al.. (1995). Impact-parameter dependence of multiple lepton-pair production from electromagnetic fields. Physical Review A. 51(3). 1836–1844. 27 indexed citations

17.

Johnson, Noah R., J. C. Wells, F. K. McGowan, et al.. (1993). Test of predicted deformation-driving effects in 173Re. Nuclear Physics A. 557. 347–359. 5 indexed citations

18.

Wells, J. C., N. R. Johnson, C. Baktash, et al.. (1987). Low-frequency anomaly inOs172moment of inertia. Physical Review C. 36(1). 431–434. 11 indexed citations

19.

Bernthal, F.M., Noah R. Johnson, J. Hattula, et al.. (1985). High spin states inCe128. Physical Review C. 31(3). 1049–1051. 6 indexed citations

20.

Wells, J. C., R.L. Robinson, H. J. Kim, & J.L.C. Ford. (1975). Absolute cross sections for theCu63,65(O16, X)reactions. Physical Review C. 12(5). 1529–1539. 9 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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