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0000 | Statistical mechanics of neocortical interactions RePEc:lei:ingber:86ni [Citation Analysis] | 42 |
0000 | Very fast simulated re-annealing RePEc:lei:ingber:89vf [Citation Analysis] | 18 |
0000 | Statistical mechanics of neocortical interactions. I. Basic formulation RePEc:lei:ingber:82ni [Citation Analysis] | 18 |
0000 | Statistical mechanics of nonlinear nonequilibrium financial markets RePEc:lei:ingber:84nn [Citation Analysis] | 17 |
0000 | Mathematical comparison of combat computer models to exercise data RePEc:lei:ingber:91mc [Citation Analysis] | 16 |
0000 | Statistical mechanical aids to calculating term structure models RePEc:lei:ingber:90ac [Citation Analysis] | 16 |
0000 | Application of statistical mechanics methodology to term-structure bond-pricing models RePEc:lei:ingber:91as [Citation Analysis] | 15 |
0000 | Multiple scales of statistical physics of neocortex: Application to electroencephalography RePEc:lei:ingber:90ms [Citation Analysis] | 14 |
0000 | Simulated annealing: Practice versus theory RePEc:lei:ingber:93sa [Citation Analysis] | 11 |
0000 | Statistical mechanics of combat with human factors RePEc:lei:ingber:91ch [Citation Analysis] | 10 |
0000 | Path-integral Riemannian contributions to nuclear Schrodinger equation RePEc:lei:ingber:84pi [Citation Analysis] | 10 |
0000 | Canonical momenta indicators of financial markets and neocortical EEG RePEc:lei:ingber:96cm [Citation Analysis] | 9 |
0000 | Riemannian corrections to velocity-dependent nuclear forces RePEc:lei:ingber:83rc [Citation Analysis] | 9 |
0000 | Editorial: Learning to learn RePEc:lei:ingber:72el [Citation Analysis] | 8 |
0000 | Riemannian contributions to short-ranged velocity-dependent nucleon-nucleon interactions RePEc:lei:ingber:86rc [Citation Analysis] | 8 |
0000 | Statistical mechanics algorithm for response to targets (SMART) RePEc:lei:ingber:85ar [Citation Analysis] | 7 |
0000 | Adaptive simulated annealing (ASA): Lessons learned RePEc:lei:ingber:96as [Citation Analysis] | 7 |
0000 | Mathematical comparison of computer models to exercise data RePEc:lei:ingber:89mc [Citation Analysis] | 7 |
0000 | Statistical mechanics of multiple scales of neocortical interactions RePEc:lei:ingber:95mn [Citation Analysis] | 7 |
0000 | Karate: Kinematics and Dynamics RePEc:lei:ingber:81kk [Citation Analysis] | 7 |
0000 | Statistical mechanics of nonlinear nonequilibrium financial markets: Applications to optimized trading RePEc:lei:ingber:96nf [Citation Analysis] | 7 |
0000 | Nonlinear nonequilibrium statistical mechanics approach to C3 systems RePEc:lei:ingber:86nn [Citation Analysis] | 6 |
0000 | Volatility of volatility of financial markets RePEc:lei:ingber:99vv [Citation Analysis] | 6 |
0000 | Nuclear forces RePEc:lei:ingber:68nf [Citation Analysis] | 6 |
0000 | Path-integral evolution of multivariate systems with moderate noise RePEc:lei:ingber:95pe [Citation Analysis] | 6 |
0000 | Attention, physics and teaching RePEc:lei:ingber:81ap [Citation Analysis] | 6 |
0000 | Data mining and knowledge discovery via statistical mechanics in nonlinear stochastic systems RePEc:lei:ingber:98dm [Citation Analysis] | 5 |
0000 | Elements of Advanced Karate RePEc:lei:ingber:85ea [Citation Analysis] | 5 |
0000 | Statistical mechanics of combat and extensions RePEc:lei:ingber:93ce [Citation Analysis] | 5 |
0000 | Mathematical comparison of JANUS(T) simulation to National Training Center RePEc:lei:ingber:89mj [Citation Analysis] | 5 |
0000 | The Karate Instructors Handbook RePEc:lei:ingber:76ki [Citation Analysis] | 4 |
0000 | High-resolution path-integral development of financial options RePEc:lei:ingber:00hr [Citation Analysis] | 4 |
0000 | Path-integral evolution of chaos embedded in noise: Duffing neocortical analog RePEc:lei:ingber:96pi [Citation Analysis] | 4 |
0000 | Probability tree algorithm for general diffusion processes RePEc:lei:ingber:01pt [Citation Analysis] | 4 |
0000 | Nonlinear nonequilibrium nonquantum nonchaotic statistical mechanics of neocortical interactions RePEc:lei:ingber:96nn [Citation Analysis] | 4 |
0000 | Some Applications of Statistical Mechanics of Financial Markets RePEc:lei:ingber:98sa [Citation Analysis] | 4 |
0000 | Canonical momenta of nonlinear combat RePEc:lei:ingber:97cm [Citation Analysis] | 3 |
0000 | Optimization of trading physics models of markets RePEc:lei:ingber:01ot [Citation Analysis] | 3 |
0000 | Automated internet trading based on optimized physics models of markets RePEc:lei:ingber:03ai [Citation Analysis] | 2 |
0000 | Statistical mechanics of financial markets: Exponential modifications to Black-Scholes RePEc:lei:ingber:00fm [Citation Analysis] | 2 |
0000 | Applications of biological intelligence to Command, Control and Communications RePEc:lei:ingber:88ab [Citation Analysis] | 2 |
0000 | Ideas by Statistical Mechanics (ISM) RePEc:lei:ingber:07ji [Citation Analysis] | 2 |
0000 | Towards a unified brain theory RePEc:lei:ingber:81tu [Citation Analysis] | 2 |
0000 | A simple options training model RePEc:lei:ingber:99so [Citation Analysis] | 2 |
0000 | C3 decision aids: Statistical mechanics application of biological intelligence RePEc:lei:ingber:87c3 [Citation Analysis] | 2 |
0000 | A reinforcement learning method based on adaptive simulated annealing RePEc:lei:ingber:03rl [Citation Analysis] | 2 |
0000 | Statistical Mechanics of Financial Markets (SMFM): Applications to Trading Indicators and Options RePEc:lei:ingber:01at [Citation Analysis] | 1 |
0000 | Mesoscales in neocortex and in command, control and communications (C3) systems RePEc:lei:ingber:88mn [Citation Analysis] | 1 |
0000 | AI and Ideas by Statistical Mechanics (ISM) RePEc:lei:ingber:08ai [Citation Analysis] | 1 |
0000 | Nuclear forces and nuclear energetics RePEc:lei:ingber:70nf [Citation Analysis] | 1 |
Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results.
Source data used to compute the impact factor of RePEc series.