D.C. Connors

462 total citations
11 papers, 380 citations indexed

About

D.C. Connors is a scholar working on Mechanics of Materials, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, D.C. Connors has authored 11 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanics of Materials, 4 papers in Materials Chemistry and 3 papers in Civil and Structural Engineering. Recurrent topics in D.C. Connors's work include Fatigue and fracture mechanics (4 papers), Muon and positron interactions and applications (4 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). D.C. Connors is often cited by papers focused on Fatigue and fracture mechanics (4 papers), Muon and positron interactions and applications (4 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). D.C. Connors collaborates with scholars based in United Kingdom, United States and Germany. D.C. Connors's co-authors include R N West, V.H.C. Crisp, Ulrich Eisele, Elisabeth Keim, David Lidbury, Stéphane Marie, Karl-Fredrik Nilsson, Dieter Siegele, Kim Wallin and B.R. Bass and has published in prestigious journals such as Physics Letters A, Fatigue & Fracture of Engineering Materials & Structures and International Journal of Pressure Vessels and Piping.

In The Last Decade

D.C. Connors

10 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.C. Connors United Kingdom 6 323 180 107 66 33 11 380
C. F. Gardinier United States 8 201 0.6× 449 2.5× 83 0.8× 39 0.6× 18 0.5× 10 501
Andrew Granato United States 7 207 0.6× 210 1.2× 166 1.6× 70 1.1× 7 0.2× 9 467
J.H. Gieske United States 7 116 0.4× 188 1.0× 64 0.6× 34 0.5× 46 1.4× 17 381
K. D. Joshi India 13 149 0.5× 411 2.3× 173 1.6× 44 0.7× 18 0.5× 83 560
P. G. Bordoni Italy 9 88 0.3× 220 1.2× 115 1.1× 127 1.9× 25 0.8× 24 383
Motonobu Kawarada Japan 8 227 0.7× 328 1.8× 72 0.7× 48 0.7× 17 0.5× 14 369
W. Eichenauer Germany 10 57 0.2× 164 0.9× 98 0.9× 53 0.8× 17 0.5× 24 340
M.L. Lieberman United States 7 60 0.2× 231 1.3× 86 0.8× 31 0.5× 10 0.3× 22 323
Elena R. Dobrovinskaya Russia 3 62 0.2× 137 0.8× 59 0.6× 48 0.7× 22 0.7× 7 328
R. S. Brusa Italy 12 164 0.5× 145 0.8× 41 0.4× 84 1.3× 24 0.7× 31 367

Countries citing papers authored by D.C. Connors

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Connors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.C. Connors

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

All Works

11 of 11 papers shown
1.
Sherry, A.H., David Lidbury, D.C. Connors, & A.R. Dowling. (2013). Modelling of size effects on fracture in the brittle-to-ductile transition regime. Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura).
2.
Lidbury, David, A.H. Sherry, B.R. Bass, et al.. (2006). Validation of constraint‐based methodology in structural integrity of ferritic steels for nuclear reactor pressure vessels. Fatigue & Fracture of Engineering Materials & Structures. 29(9-10). 829–849. 28 indexed citations
3.
4.
Lidbury, David, et al.. (2001). VOCALIST - A Programme for the Validation of Constraint Based Methodology in Structural Integrity. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
5.
Lidbury, David, et al.. (2001). VOCALIST - An international programme for the validation of Constraint based methodology in structural integrity. 722. 1 indexed citations
6.
Connors, D.C., et al.. (1977). Acoustic emission analysis during fatigue crack growth in steel. Materials Science and Engineering. 28(2). 263–273. 53 indexed citations
7.
Connors, D.C., et al.. (1975). Acoustic emission from a defective C/Mn steel pressure vessel. International Journal of Pressure Vessels and Piping. 3(3). 153–174. 5 indexed citations
8.
Connors, D.C., et al.. (1973). Temperature dependence of positron trapping rate at lattice vacancies. Physics Letters A. 43(4). 395–396. 8 indexed citations
9.
Connors, D.C., V.H.C. Crisp, & R N West. (1971). The effects of vacancies on positron annihilation in cadmium. Journal of Physics F Metal Physics. 1(4). 355–362. 35 indexed citations
10.
Connors, D.C., V.H.C. Crisp, & R N West. (1970). Positron annihilation in quenched cadmium metal. Physics Letters A. 33(3). 180–181. 23 indexed citations
11.
Connors, D.C. & R N West. (1969). Positron annihilation and defects in metals. Physics Letters A. 30(1). 24–25. 221 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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