Yakov Nekrich

142 total papers · 1.3k total citations
43 papers, 233 citations indexed

About

Yakov Nekrich is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yakov Nekrich has authored 43 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 18 papers in Molecular Biology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yakov Nekrich's work include Algorithms and Data Compression (33 papers), DNA and Biological Computing (15 papers) and Network Packet Processing and Optimization (11 papers). Yakov Nekrich is often cited by papers focused on Algorithms and Data Compression (33 papers), DNA and Biological Computing (15 papers) and Network Packet Processing and Optimization (11 papers). Yakov Nekrich collaborates with scholars based in United States, Canada and Germany. Yakov Nekrich's co-authors include Gonzalo Navarro, Marek Karpiński, Jeffrey Scott Vitter, J. Ian Munro, Luís M. S.Russo, Hongwei Huo, Travis Gagie, Piotr Berman, Francisco Claude and Jérémy Barbay and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and ACM Transactions on Database Systems.

In The Last Decade

Yakov Nekrich

36 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yakov Nekrich	169	73	71	70	49	43	233
Kasper Green Larsen	204 1.2×	43 0.6×	75 1.1×	78 1.1×	73 1.5×	50	325
Jérémy Barbay	229 1.4×	60 0.8×	81 1.1×	106 1.5×	111 2.3×	31	320
Jyh-Jong Tsay	82 0.5×	29 0.4×	105 1.5×	55 0.8×	67 1.4×	37	268
Kimmo Fredriksson	235 1.4×	88 1.2×	71 1.0×	33 0.5×	18 0.4×	33	295
Francisco Fernández de Vega	159 0.9×	31 0.4×	40 0.6×	27 0.4×	46 0.9×	45	265
Meng He	126 0.7×	30 0.4×	33 0.5×	50 0.7×	44 0.9×	38	254
Tsvi Kopelowitz	121 0.7×	43 0.6×	16 0.2×	13 0.2×	116 2.4×	38	228
Diego Arroyuelo	113 0.7×	28 0.4×	56 0.8×	43 0.6×	58 1.2×	28	149
Ward Douglas Maurer	142 0.8×	21 0.3×	34 0.5×	27 0.4×	94 1.9×	34	242
Ye‐In Chang	36 0.2×	17 0.2×	81 1.1×	66 0.9×	143 2.9×	56	273

Countries citing papers authored by Yakov Nekrich

Since Specialization

Citations

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

Fields of papers citing papers by Yakov Nekrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakov Nekrich

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

All Works

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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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