Yaniv Bernstein

619 total citations
9 papers, 316 citations indexed

About

Yaniv Bernstein is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yaniv Bernstein has authored 9 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yaniv Bernstein's work include Web Data Mining and Analysis (3 papers), Algorithms and Data Compression (3 papers) and Topic Modeling (2 papers). Yaniv Bernstein is often cited by papers focused on Web Data Mining and Analysis (3 papers), Algorithms and Data Compression (3 papers) and Topic Modeling (2 papers). Yaniv Bernstein collaborates with scholars based in Australia and United States. Yaniv Bernstein's co-authors include Justin Zobel, Gavin N. Rees, Catherine A. Osborne, Peter H. Janssen, Alistair Moffat, Donald Metzler, W. Bruce Croft, Michael J. Cameron, Hugh Williams and Xiaodong Li and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Computational Biology and Information Systems.

In The Last Decade

Yaniv Bernstein

9 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaniv Bernstein Australia	7	131	84	83	64	22	9	316
Antonella Zanzi Italy	8	43 0.3×	34 0.4×	74 0.9×	56 0.9×	27 1.2×	17	363
Yuxia Sun China	5	112 0.9×	159 1.9×	26 0.3×	19 0.3×	13 0.6×	11	325
Colin W. Morris United Kingdom	9	74 0.6×	69 0.8×	43 0.5×	102 1.6×	21 1.0×	11	314
Dan Smith United Kingdom	8	73 0.6×	22 0.3×	97 1.2×	79 1.2×	20 0.9×	37	486
Sunita Tiwari India	9	53 0.4×	41 0.5×	50 0.6×	15 0.2×	17 0.8×	31	436
Chengde Zhang China	9	75 0.6×	45 0.5×	25 0.3×	40 0.6×	11 0.5×	46	302
Christopher J. O. Baker Canada	15	274 2.1×	73 0.9×	60 0.7×	431 6.7×	14 0.6×	58	667
Ali Zeeshan Ijaz Pakistan	13	98 0.7×	20 0.2×	41 0.5×	51 0.8×	21 1.0×	31	380
Naresh Kumar India	9	72 0.5×	69 0.8×	35 0.4×	19 0.3×	39 1.8×	59	256

Countries citing papers authored by Yaniv Bernstein

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Bernstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Bernstein

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

All Works

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9 of 9 papers shown

1.

Shokouhi, Milad, Justin Zobel, & Yaniv Bernstein. (2007). Distributed text retrieval from overlapping collections. Australasian Database Conference. 141–150. 4 indexed citations

2.

Cameron, Michael J., Yaniv Bernstein, & Hugh Williams. (2007). Clustered Sequence Representation for Fast Homology Search. Journal of Computational Biology. 14(5). 594–614. 19 indexed citations

3.

Osborne, Catherine A., Gavin N. Rees, Yaniv Bernstein, & Peter H. Janssen. (2006). New Threshold and Confidence Estimates for Terminal Restriction Fragment Length Polymorphism Analysis of Complex Bacterial Communities. Applied and Environmental Microbiology. 72(2). 1270–1278. 126 indexed citations

4.

Bernstein, Yaniv, Bodo Billerbeck, Nicholas Lester, et al.. (2005). RMIT University at TREC 2005: Terabyte and Robust Track.. Text REtrieval Conference. 11 indexed citations

5.

Metzler, Donald, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, & Justin Zobel. (2005). The recap system for identifying information flow. 678–678. 5 indexed citations

6.

Metzler, Donald, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, & Justin Zobel. (2005). Similarity measures for tracking information flow. RMIT Research Repository (RMIT University Library). 517–524. 92 indexed citations

7.

Bernstein, Yaniv & Justin Zobel. (2005). Redundant documents and search effectiveness. Minerva Access (University of Melbourne). 736–743. 33 indexed citations

8.

Bernstein, Yaniv & Justin Zobel. (2005). Accurate discovery of co-derivative documents via duplicate text detection. Information Systems. 31(7). 595–609. 13 indexed citations

9.

Bernstein, Yaniv, Xiaodong Li, Vic Ciesielski, & Andy Song. (2004). Multiobjective parsimony enforcement for superior generalisation performance. RMIT Research Repository (RMIT University Library). 103. 83–89. 13 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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