Ari Pakman

1.2k total citations
25 papers, 562 citations indexed

About

Ari Pakman is a scholar working on Nuclear and High Energy Physics, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Ari Pakman has authored 25 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 8 papers in Geometry and Topology and 8 papers in Artificial Intelligence. Recurrent topics in Ari Pakman's work include Black Holes and Theoretical Physics (12 papers), Algebraic structures and combinatorial models (6 papers) and Neural dynamics and brain function (5 papers). Ari Pakman is often cited by papers focused on Black Holes and Theoretical Physics (12 papers), Algebraic structures and combinatorial models (6 papers) and Neural dynamics and brain function (5 papers). Ari Pakman collaborates with scholars based in United States, Israel and India. Ari Pakman's co-authors include Liam Paninski, Leonardo Rastelli, Shlomo S. Razamat, Atish Dabholkar, Amit Sever, Dan Israël, Jan Troost, Mariano I. Gabitto, L. F. Abbott and Josh Merel and has published in prestigious journals such as Cell, Nuclear Physics B and Physics Letters B.

In The Last Decade

Ari Pakman

24 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ari Pakman United States	12	317	188	142	69	59	25	562
Zoltán Kovács Hungary	20	502 1.6×	808 4.3×	67 0.5×	130 1.9×	63 1.1×	98	1.4k
Michael McGuigan United States	12	226 0.7×	205 1.1×	126 0.9×	59 0.9×	8 0.1×	35	796
P. Białas Poland	13	257 0.8×	77 0.4×	276 1.9×	13 0.2×	20 0.3×	47	531
Erik Plahte Norway	18	84 0.3×	30 0.2×	148 1.0×	51 0.7×	30 0.5×	31	1.2k
Robin Forman United States	14	58 0.2×	46 0.2×	93 0.7×	16 0.2×	262 4.4×	22	1.1k
Takuya Kanazawa Japan	18	367 1.2×	61 0.3×	94 0.7×	3 0.0×	22 0.4×	47	695
Dmitry Krotov United States	7	109 0.3×	118 0.6×	49 0.3×	80 1.2×	9 0.2×	13	368
Jean–Pierre Françoise France	17	49 0.2×	97 0.5×	619 4.4×	28 0.4×	736 12.5×	82	1.2k
Christoph Rahmede United Kingdom	15	533 1.7×	430 2.3×	515 3.6×	44 0.6×	24 0.4×	21	964
James F. Glazebrook United States	17	30 0.1×	77 0.4×	131 0.9×	194 2.8×	119 2.0×	70	736

Countries citing papers authored by Ari Pakman

Since Specialization

Citations

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

Fields of papers citing papers by Ari Pakman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ari Pakman

This figure shows the co-authorship network connecting the top 25 collaborators of Ari Pakman. A scholar is included among the top collaborators of Ari Pakman 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 Ari Pakman. Ari Pakman 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

Gabitto, Mariano I., et al.. (2021). A Bayesian nonparametric approach to super-resolution single-molecule localization. The Annals of Applied Statistics. 15(4). 1 indexed citations

Wang, Yueqi, et al.. (2020). Spike Sorting using the Neural Clustering Process. 1 indexed citations

Pakman, Ari & Liam Paninski. (2018). Discrete Neural Processes. 2 indexed citations

Pakman, Ari, Dar Gilboa, David Carlson, & Liam Paninski. (2017). Stochastic Bouncy Particle Sampler. International Conference on Machine Learning. 2741–2750. 6 indexed citations

Carlson, David, et al.. (2016). Partition functions from Rao-Blackwellized tempered sampling. DukeSpace (Duke University). 6. 2896–2905. 3 indexed citations

Gabitto, Mariano I., Ari Pakman, Jay B. Bikoff, et al.. (2016). Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons. Cell. 165(1). 220–233. 55 indexed citations

Paige, Brooks, et al.. (2013). Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits. Cambridge University Engineering Department Publications Database. 26. 1304–1312. 19 indexed citations

Pakman, Ari, et al.. (2013). Fast state-space methods for inferring dendritic synaptic connectivity. DSpace@MIT (Massachusetts Institute of Technology).

Pakman, Ari, et al.. (2013). Fast state-space methods for inferring dendritic synaptic connectivity. Journal of Computational Neuroscience. 36(3). 415–443. 9 indexed citations

10.

Pakman, Ari & Liam Paninski. (2013). Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians. Journal of Computational and Graphical Statistics. 23(2). 518–542. 95 indexed citations

11.

Pnevmatikakis, Eftychios A., Josh Merel, Ari Pakman, & Liam Paninski. (2013). Bayesian spike inference from calcium imaging data. 349–353. 35 indexed citations

12.

Pakman, Ari, Leonardo Rastelli, & Shlomo S. Razamat. (2009). Extremal correlators and Hurwitz numbers in symmetric product orbifolds. Physical review. D. Particles, fields, gravitation, and cosmology. 80(8). 55 indexed citations

13.

Mukherjee, Anindya, Sunil Mukhi, & Ari Pakman. (2007). FZZ algebra. Journal of High Energy Physics. 2007(1). 25–25. 7 indexed citations

14.

Pakman, Ari & Amit Sever. (2007). Exact N=4 correlators of AdS3/CFT2. Physics Letters B. 652(1). 60–62. 33 indexed citations

15.

Pakman, Ari. (2006). FZZ Scattering. Journal of High Energy Physics. 2006(11). 55–55. 3 indexed citations

16.

Pakman, Ari. (2006). Liouville theory without an action. Physics Letters B. 642(3). 263–269. 10 indexed citations

17.

Israël, Dan, Ari Pakman, & Jan Troost. (2005). D-branes in N=2 Liouville theory and its mirror. Nuclear Physics B. 710(3). 529–576. 34 indexed citations

18.

Israël, Dan, Ari Pakman, & Jan Troost. (2005). D-branes in little string theory. Nuclear Physics B. 722(1-2). 3–64. 27 indexed citations

19.

Pakman, Ari. (2000). Schwarz–Sen duality made fully local. Physics Letters B. 474(3-4). 309–313. 5 indexed citations

20.

Grandi, Nicolás, Ari Pakman, & F Schaposnik. (2000). Supersymmetric Dirac–Born–Infeld theory in noncommutative space. Nuclear Physics B. 588(1-2). 508–520. 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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