Scholarly Index

Markov Chains and Monte Carlo Methods

2021-2025 World Top1000 Scholar ranking for Markov Chains and Monte Carlo Methods.

World rank	Scholar	Impact score	Total citations	Total publications
1	Hugo Duminil‐Copin	98.48	1,673	55
2	Arnaud Guillin	97.19	4,930	111
3	Yongxin Chen	96.93	7,252	385
4	Erhan Bayraktar	96.44	2,962	242
5	Pierre Monmarché	96.24	704	63
6	Will Perkins	95.37	3,199	186
7	Daniel Lacker	95.13	1,164	29
8	Joris Bierkens	95.10	345	29
9	Gareth O. Roberts	94.96	22,942	300
10	Tom Hutchcroft	94.88	201	30
11	Youssef Marzouk	94.51	5,007	193
12	Yuta Koike	93.61	585	40
13	Ajay Jasra	93.49	5,667	131
14	Wuchen Li	93.30	1,486	93
15	Qian Qin	93.19	271	15
16	Jianfeng Lu	92.73	9,047	398
17	Pietro Caputo	92.66	772	62
18	Justin Salez	92.57	427	34
19	Mark Sellke	92.52	256	43
20	Alain Durmus	92.49	942	66
21	Christopher Drovandi	92.34	3,228	185
22	Zongchen Chen	92.32	216	18
23	Jian Ding	92.04	580	61
24	V́ıctor Elvira	91.36	2,613	141
25	Jeffrey S. Rosenthal	91.19	10,474	227
26	Tyler Helmuth	90.80	158	18
27	Wilson Tsakane Mongwe	90.63	365	21
28	Kuikui Liu	90.14	413	25
29	Nawaf Bou‐Rabee	90.12	835	29
30	David T. Frazier	89.72	431	42
31	Ron Peled	89.65	2,528	84
32	Galin L. Jones	89.28	2,448	72
33	Grigorios A. Pavliotis	88.79	2,563	122
34	Ivailo Hartarsky	88.78	132	28
35	Franco Severo	88.01	126	14
36	Jianhai Bao	88.00	1,761	67
37	Tiangang Cui	87.89	1,042	44
38	Éric Moulines	87.50	16,941	313
39	Eric Vigoda	86.88	2,666	88
40	Ruoyu Wu	86.85	1,549	108
41	Andreas Eberle	86.73	1,091	26
42	Tudor Manole	86.56	112	7
43	James P. Hobert	86.46	3,326	77
44	Francesca R. Nardi	86.33	973	61
45	Vincent Tassion	86.16	313	26
46	Shi Jin	85.96	9,823	288
47	Gordon Slade	85.94	2,755	77
48	Marcel Nutz	85.64	1,448	48
49	Randal Douc	85.49	26,017	316
50	Heng Guo	85.10	663	59