Jan Tobochnik

8.8k total citations · 1 hit paper
76 papers, 6.7k citations indexed

About

Jan Tobochnik is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jan Tobochnik has authored 76 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 14 papers in Statistical and Nonlinear Physics and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jan Tobochnik's work include Theoretical and Computational Physics (19 papers), Material Dynamics and Properties (7 papers) and Quantum many-body systems (5 papers). Jan Tobochnik is often cited by papers focused on Theoretical and Computational Physics (19 papers), Material Dynamics and Properties (7 papers) and Quantum many-body systems (5 papers). Jan Tobochnik collaborates with scholars based in United States, Hungary and Canada. Jan Tobochnik's co-authors include Wolfgang Christian, Susan R. McKay, Daan Frenkel, Berend Smit, G. V. Chester, Harvey Gould, Stephen H. Shenker, Péter Érdi, Sanjoy K. Sarker and Robert Cordery and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Jan Tobochnik

69 papers receiving 6.4k citations

Hit Papers

Understanding Molecular S... 1997 2026 2006 2016 1997 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Tobochnik United States 24 2.5k 2.1k 1.8k 1.5k 821 76 6.7k
David S. Cannell United States 48 2.1k 0.8× 1.7k 0.8× 1.4k 0.7× 1.4k 0.9× 1.1k 1.4× 127 7.3k
D. C. Rapaport Israel 31 2.5k 1.0× 1.5k 0.7× 1.1k 0.6× 1.6k 1.0× 592 0.7× 102 6.7k
Wolfgang Christian United States 23 2.1k 0.8× 1.4k 0.7× 718 0.4× 1.5k 1.0× 723 0.9× 78 7.1k
Raymond D. Mountain United States 42 2.5k 1.0× 2.0k 0.9× 972 0.5× 1.8k 1.1× 669 0.8× 151 5.9k
Thomas A. Weber United States 40 6.1k 2.4× 3.4k 1.6× 1.8k 1.0× 1.8k 1.1× 732 0.9× 246 11.4k
Gilles Tarjus France 47 4.6k 1.8× 1.5k 0.7× 3.3k 1.8× 1.8k 1.2× 564 0.7× 200 7.6k
Dieter W. Heermann Germany 40 2.3k 0.9× 1.4k 0.7× 2.5k 1.4× 869 0.6× 846 1.0× 163 7.2k
Alan M. Ferrenberg United States 17 2.1k 0.8× 1.8k 0.9× 3.6k 2.0× 941 0.6× 1.1k 1.3× 31 6.3k
J. M. Deutch United States 47 2.0k 0.8× 1.9k 0.9× 733 0.4× 1.3k 0.8× 1.1k 1.4× 177 6.7k
Robert Botet France 35 1.5k 0.6× 1.1k 0.5× 2.1k 1.1× 901 0.6× 525 0.6× 135 5.5k

Countries citing papers authored by Jan Tobochnik

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tobochnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Tobochnik

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Tobochnik. A scholar is included among the top collaborators of Jan Tobochnik 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 Jan Tobochnik. Jan Tobochnik 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.
Szente, Judit, et al.. (2016). Recognition of emerging technology trends: class-selective study of citations in the U.S. Patent Citation Network. Scientometrics. 107(3). 1465–1475. 42 indexed citations
2.
Érdi, Péter, Kinga Makovi, Zoltán Somogyvári, et al.. (2012). Prediction of emerging technologies based on analysis of the US patent citation network. Scientometrics. 95(1). 225–242. 202 indexed citations
3.
Christian, Wolfgang & Jan Tobochnik. (2010). Augmenting AJP articles with computer simulations. American Journal of Physics. 78(9). 885–886. 1 indexed citations
4.
Strandburg, Katherine J., Gábor Csárdi, László Zalányi, Jan Tobochnik, & Péter Érdi. (2009). Patent Citation Networks Revisited: Signs of a Twenty-First Century Change. North Carolina law review. 87(5). 1657. 7 indexed citations
5.
Tobochnik, Jan. (2008). The Art of Doing. American Journal of Physics. 76(8). 701–701. 3 indexed citations
6.
Gould, Harvey, et al.. (2006). Using the Open Source Physics Library to Teach Statistical and Thermal Physics. Bulletin of the American Physical Society. 1 indexed citations
7.
Strandburg, Katherine J., Jan Tobochnik, Gábor Csárdi, & Péter Érdi. (2005). Patent Citation Networks. Bulletin of the American Physical Society. 2 indexed citations
8.
Zalányi, László, Gábor Csárdi, Tamás Kiss, et al.. (2003). Properties of a random attachment growing network. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 66104–66104. 10 indexed citations
9.
Tobochnik, Jan & Edward F. Redish. (2002). Physics Education Research Section (PERS). American Journal of Physics. 70(7). 666–666. 1 indexed citations
10.
Tobochnik, Jan. (1999). Granular collapse as a percolation transition. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(6). 7137–7142. 19 indexed citations
11.
Ferguson, Charles D., W. Klein, John B. Rundle, Harvey Gould, & Jan Tobochnik. (1998). Long-range earthquake fault models. Computers in Physics. 12(1). 34–40. 14 indexed citations
12.
Müller, Gerhard, et al.. (1997). Introduction to the Bethe Ansatz I. Computers in Physics. 11(1). 36–36. 107 indexed citations
13.
Gould, Harvey, et al.. (1996). Thermal and Statistical Physics Simulations. Computers in Physics. 10(3). 258–258. 6 indexed citations
14.
Gould, Harvey, et al.. (1995). Thermal and statistical physics simulations : the consortium for upper level physics software. Wiley eBooks. 1 indexed citations
15.
Tobochnik, Jan, Martin J. Zuckermann, & Zhengping Zhang. (1995). Simulation of hydrogen bonding and hydration in pure lipid bilayers. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(6). 6204–6212. 4 indexed citations
16.
Tobochnik, Jan. (1990). Efficient random walk algorithm for computing conductivity in continuum percolation systems. Computers in Physics. 4(2). 181–184. 5 indexed citations
17.
Cukier, Robert I., Sheh‐Yi Sheu, & Jan Tobochnik. (1990). Random-walk simulation of the dielectric constant of a composite material. Physical review. B, Condensed matter. 42(8). 5342–5344. 15 indexed citations
18.
Tobochnik, Jan & Harvey Gould. (1989). Quantifying Chaos. Computers in Physics. 3(6). 86–90. 1 indexed citations
19.
Gould, Harvey, Jan Tobochnik, & D. E. Harrison. (1988). An Introduction to Computer Simulation Methods: Applications to Physical Systems, Part 1 and Part 2. Computers in Physics. 2(1). 90–91. 51 indexed citations
20.
Tobochnik, Jan & G. V. Chester. (1979). Monte Carlo study of the planar spin model. Physical review. B, Condensed matter. 20(9). 3761–3769. 359 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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