Danil Nemirovsky

423 total citations
10 papers, 189 citations indexed

About

Danil Nemirovsky is a scholar working on Information Systems, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Danil Nemirovsky has authored 10 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Statistical and Nonlinear Physics and 3 papers in Signal Processing. Recurrent topics in Danil Nemirovsky's work include Web Data Mining and Analysis (5 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Danil Nemirovsky is often cited by papers focused on Web Data Mining and Analysis (5 papers), Complex Network Analysis Techniques (3 papers) and Data Management and Algorithms (3 papers). Danil Nemirovsky collaborates with scholars based in France, Russia and United States. Danil Nemirovsky's co-authors include Konstantin Avrachenkov, Nelly Litvak, Elena Smirnova, Son Pham and Vivek S. Borkar and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Computational and Applied Mathematics and Linear Algebra and its Applications.

In The Last Decade

Danil Nemirovsky

9 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danil Nemirovsky France	6	91	86	65	62	36	10	189
Matthew J. Rattigan United States	8	162 1.8×	139 1.6×	49 0.8×	81 1.3×	34 0.9×	15	262
Polina Rozenshtein Finland	7	102 1.1×	109 1.3×	22 0.3×	56 0.9×	40 1.1×	14	212
Pinghui Wang China	7	93 1.0×	141 1.6×	33 0.5×	119 1.9×	26 0.7×	25	233
Jeffery Xu Yu Hong Kong	9	53 0.6×	102 1.2×	84 1.3×	77 1.2×	36 1.0×	11	203
Brigitte Boden Germany	7	152 1.7×	134 1.6×	69 1.1×	59 1.0×	49 1.4×	11	247
Yuanping Nie China	7	82 0.9×	109 1.3×	59 0.9×	37 0.6×	16 0.4×	31	202
Yon Dourisboure Italy	5	120 1.3×	76 0.9×	38 0.6×	64 1.0×	29 0.8×	5	216
Ali Pinar United States	3	148 1.6×	83 1.0×	15 0.2×	70 1.1×	43 1.2×	4	205
Renchi Yang Hong Kong	9	139 1.5×	212 2.5×	64 1.0×	67 1.1×	104 2.9×	26	285

Countries citing papers authored by Danil Nemirovsky

Since Specialization

Citations

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

Fields of papers citing papers by Danil Nemirovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danil Nemirovsky

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

All Works

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10 of 10 papers shown

1.

Nemirovsky, Danil. (2011). Tensor approach to mixed high-order moments of absorbing Markov chains. Linear Algebra and its Applications. 438(4). 1900–1922.

2.

Avrachenkov, Konstantin, Vivek S. Borkar, & Danil Nemirovsky. (2010). Quasi-stationary distributions as centrality measures for the giant strongly connected component of a reducible graph. Journal of Computational and Applied Mathematics. 234(11). 3075–3090. 7 indexed citations

3.

Nemirovsky, Danil, et al.. (2008). Word Importance Discrimination using Context Information. Text REtrieval Conference. 1 indexed citations

4.

Nemirovsky, Danil & Konstantin Avrachenkov. (2008). Weighted PageRank: Cluster-Related Weights. Text REtrieval Conference. 7 indexed citations

5.

Avrachenkov, Konstantin, et al.. (2008). Pagerank based clustering of hypertext document collections. HAL (Le Centre pour la Communication Scientifique Directe). 873–874. 17 indexed citations

6.

Avrachenkov, Konstantin, et al.. (2007). A survey on distributed approaches to graph based reputation measures. 82. 9 indexed citations

7.

Avrachenkov, Konstantin, et al.. (2007). A survey on distributed approaches to graph based reputation measures. 8 indexed citations

8.

Avrachenkov, Konstantin, et al.. (2007). Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient. SIAM Journal on Numerical Analysis. 45(2). 890–904. 137 indexed citations

9.

Avrachenkov, Konstantin, et al.. (2006). Web graph analyzer tool. 54–54. 1 indexed citations

10.

Avrachenkov, Konstantin, et al.. (2005). Monte Carlo methods in PageRank computation: When one iteration is sufficient. University of Twente Research Information. 2 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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