C. E. Tull

6.4k total citations
37 papers, 377 citations indexed

About

C. E. Tull is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, C. E. Tull has authored 37 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Computer Networks and Communications. Recurrent topics in C. E. Tull's work include Nuclear physics research studies (9 papers), Atomic and Molecular Physics (8 papers) and Distributed and Parallel Computing Systems (7 papers). C. E. Tull is often cited by papers focused on Nuclear physics research studies (9 papers), Atomic and Molecular Physics (8 papers) and Distributed and Parallel Computing Systems (7 papers). C. E. Tull collaborates with scholars based in United States, United Kingdom and Canada. C. E. Tull's co-authors include R P McEachran, M. Cohen, W. R. Webber, J. C. Kish, O. Testard, Y. Cassagnou, R. Légrain, A. Soutoul, W. Christie and Wahid Bhimji and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Nuclear Physics A.

In The Last Decade

C. E. Tull

33 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. E. Tull United States 11 161 122 102 42 36 37 377
H.G. Essel Germany 11 196 1.2× 71 0.6× 98 1.0× 72 1.7× 20 0.6× 33 293
H. Müller Switzerland 14 618 3.8× 127 1.0× 206 2.0× 107 2.5× 30 0.8× 76 890
C. McParland United States 7 292 1.8× 79 0.6× 176 1.7× 21 0.5× 18 0.5× 12 391
R. S. Wolff United States 14 242 1.5× 78 0.6× 150 1.5× 207 4.9× 12 0.3× 93 798
Axel Huebl United States 12 325 2.0× 148 1.2× 67 0.7× 55 1.3× 10 0.3× 39 451
Changchun Sun United States 12 221 1.4× 120 1.0× 154 1.5× 36 0.9× 36 1.0× 64 507
Yipo Zhang China 7 108 0.7× 107 0.9× 43 0.4× 37 0.9× 9 0.3× 33 337
R.L.A. Cottrell United States 13 818 5.1× 158 1.3× 68 0.7× 129 3.1× 16 0.4× 28 1.1k
J. White Ireland 14 198 1.2× 448 3.7× 88 0.9× 184 4.4× 5 0.1× 34 777
J. C. Vermeulen Netherlands 13 366 2.3× 90 0.7× 159 1.6× 65 1.5× 4 0.1× 41 448

Countries citing papers authored by C. E. Tull

Since Specialization
Citations

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

Fields of papers citing papers by C. E. Tull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. E. Tull

This figure shows the co-authorship network connecting the top 25 collaborators of C. E. Tull. A scholar is included among the top collaborators of C. E. Tull 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 C. E. Tull. C. E. Tull 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.
Ayyar, Venkitesh, Wahid Bhimji, M. E. Monzani, et al.. (2020). Optimization of Software on High Performance Computing Platforms for the LUX-ZEPLIN Dark Matter Experiment. Springer Link (Chiba Institute of Technology). 1 indexed citations
2.
Dao, Cecilia, Xinyu Liu, Alex Sim, C. E. Tull, & Kesheng Wu. (2018). Modeling Data Transfers: Change Point and Anomaly Detection. 9212. 1589–1594. 6 indexed citations
3.
Racah, Evan, Peter Sadowski, Wahid Bhimji, et al.. (2016). Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. eScholarship (California Digital Library). 892–897. 7 indexed citations
4.
Venkatakrishnan, Singanallur, K. Aditya Mohan, K. Beattie, et al.. (2016). Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. Electronic Imaging. 28(19). 1–7. 7 indexed citations
5.
Patton, Simon, et al.. (2015). Spade: Decentralized orchestration of data movement and warehousing for physics experiments. 1014–1019. 3 indexed citations
6.
Hexemer, Alexander, Dula Parkinson, & C. E. Tull. (2015). Information Technology/Large-Scale Data Handling. Synchrotron Radiation News. 28(2). 2–3. 2 indexed citations
7.
Deslippe, Jack, Abdelilah Essiari, Simon Patton, et al.. (2014). Workflow Management for Real-Time Analysis of Lightsource Experiments. 31–40. 19 indexed citations
8.
Jared, R.C., et al.. (2004). LBNL report of the vetting review of the GRETINA project. eScholarship (California Digital Library). 1 indexed citations
9.
Gunter, Dan, et al.. (2004). On-demand grid application tuning and debugging with the NetLogger activation service. University of North Texas Digital Library (University of North Texas). 2. 76–83. 1 indexed citations
10.
Tull, C. E., et al.. (2003). The Athena Data Dictionary and Description Language. ArXiv.org. 494–497.
11.
Bauer, G., F. Bieser, F.P. Brady, et al.. (1997). A multiple sampling time projection ionization chamber for nuclear fragment tracking and charge measurement. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 386(2-3). 249–253. 2 indexed citations
12.
Johnston, William E., et al.. (1997). High-speed distributed data handling for on-line instrumentation systems. 1–19. 7 indexed citations
13.
Tull, C. E., et al.. (1996). STAR Analysis Framework. 1 indexed citations
14.
Crawford, H. J., T. Doke, J. Engelage, et al.. (1995). Analysis of data obtained with Au ions of 700 MeV/n energy in an allene-doped liquid Ar homogeneous calorimeter. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 362(2-3). 506–516. 1 indexed citations
15.
Christie, W., J. L. Romero, F. P. Brady, et al.. (1993). Fragmentation of 1.2 GeV per nucleonLa139. Physical Review C. 48(6). 2973–2983. 8 indexed citations
16.
Christie, W., D. Olson, C. E. Tull, et al.. (1993). Pion correlations for 1.2AGeV lanthanum on lanthanum. Physical Review C. 47(2). 779–787. 5 indexed citations
17.
Tull, C. E.. (1989). Relativistic Heavy Ion Fragmentation at HISS.. eScholarship (California Digital Library). 9 indexed citations
18.
Christie, W., J. L. Romero, F.P. Brady, et al.. (1987). A multiple sampling ionization chamber (MUSIC) for measuring the charge of relativistic heavy ions. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 255(3). 466–476. 28 indexed citations
19.
Tull, C. E., R P McEachran, & M. Cohen. (1971). Relativistic corrections to ionization energies and theoretical dipole oscillator strengths for Fe XVI, Co XVII, and Ni XVIII. Atomic Data and Nuclear Data Tables. 3. 169–176. 7 indexed citations
20.
McEachran, R P, et al.. (1970). IONIZATION ENERGIES AND OSCILLATOR STRENGTHS FOR Fe XVI, Co XVII, AND Ni XVIII.. 4. 152. 6 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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