Ivan T. Georgiev

1.6k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Ivan T. Georgiev is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Ivan T. Georgiev has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Condensed Matter Physics, 4 papers in Mathematical Physics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Ivan T. Georgiev's work include Theoretical and Computational Physics (6 papers), Stochastic processes and statistical mechanics (4 papers) and Markov Chains and Monte Carlo Methods (2 papers). Ivan T. Georgiev is often cited by papers focused on Theoretical and Computational Physics (6 papers), Stochastic processes and statistical mechanics (4 papers) and Markov Chains and Monte Carlo Methods (2 papers). Ivan T. Georgiev collaborates with scholars based in United States, Germany and Australia. Ivan T. Georgiev's co-authors include Mauro Mobilia, Regina M. Krohn, Lin Leng, Robert Kleemann, Michael J. Hickey, Jürgen Bernhagen, Julia L. Gregory, Shaun R. McColl, Rory R. Koenen and Günter Fingerle‐Rowson and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Journal of Statistical Physics.

In The Last Decade

Ivan T. Georgiev

7 papers receiving 1.2k citations

Hit Papers

MIF is a noncognate ligand of CXC chemokine receptors in ... 2007 2026 2013 2019 2007 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MIF is a noncognate ligand of CXC chemokine receptors in inflammatory and atherogenic cell recruitment
    2007 990 citations Jürgen Bernhagen, Regina M. Krohn et al. Nature Medicine profile →

Peers

Ivan T. Georgiev
Donald M. Davis United States
Baltazar D. Aguda United States
Thomas Linnemann Germany
Subhadip Raychaudhuri United States
Pauline M. Schwartz United States
Malte Renz United States
Kenneth G. Johnson United States
Eric Stawiski United States
Lionel Spinelli France
Emma Carrick United Kingdom
Donald M. Davis United States
Ivan T. Georgiev
Citations per year, relative to Ivan T. Georgiev Ivan T. Georgiev (= 1×) peers Donald M. Davis

Countries citing papers authored by Ivan T. Georgiev

Since Specialization
Citations

This map shows the geographic impact of Ivan T. Georgiev'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 Ivan T. Georgiev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Georgiev more than expected).

Fields of papers citing papers by Ivan T. Georgiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan T. Georgiev. 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 Ivan T. Georgiev. The network helps show where Ivan T. Georgiev may publish in the future.

Co-authorship network of co-authors of Ivan T. Georgiev

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

All Works

8 of 8 papers shown
1.
Wesselinowa, Julia M. & Ivan T. Georgiev. (2008). Theoretical study of static and dynamic properties of orthorhombic multiferroic substances. physica status solidi (b). 245(8). 1653–1660. 12 indexed citations
2.
Bernhagen, Jürgen, Regina M. Krohn, Hongqi Lue, et al.. (2007). MIF is a noncognate ligand of CXC chemokine receptors in inflammatory and atherogenic cell recruitment. Nature Medicine. 13(5). 587–596. 990 indexed citations breakdown →
3.
Mobilia, Mauro, Ivan T. Georgiev, & Uwe C. Täuber. (2006). Fluctuations and correlations in lattice models for predator-prey interaction. Physical Review E. 73(4). 40903–40903. 61 indexed citations
4.
Mobilia, Mauro, Ivan T. Georgiev, & Uwe C. Täuber. (2006). Phase Transitions and Spatio-Temporal Fluctuations in Stochastic Lattice Lotka–Volterra Models. Journal of Statistical Physics. 128(1-2). 447–483. 85 indexed citations
5.
Mobilia, Mauro & Ivan T. Georgiev. (2005). Voting and catalytic processes with inhomogeneities. Physical Review E. 71(4). 46102–46102. 44 indexed citations
6.
Georgiev, Ivan T., B. Schmittmann, & R. K. P. Zia. (2005). Anomalous Nucleation Far from Equilibrium. Physical Review Letters. 94(11). 115701–115701. 19 indexed citations
7.
Georgiev, Ivan T. & Susan R. McKay. (2003). Position-space renormalization-group approach for driven diffusive systems applied to the asymmetric exclusion model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(5). 56103–56103. 4 indexed citations
8.
Georgiev, Ivan T.. (2003). Renormalization-group Studies of Three Model Systems Far from Equilibrium. DigitalCommons (California Polytechnic State University). 1 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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