Victor Bittorf

1.2k total citations
5 papers, 254 citations indexed

About

Victor Bittorf is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Victor Bittorf has authored 5 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Victor Bittorf's work include Complexity and Algorithms in Graphs (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). Victor Bittorf is often cited by papers focused on Complexity and Algorithms in Graphs (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). Victor Bittorf collaborates with scholars based in United States. Victor Bittorf's co-authors include Christopher Ré, Ben Recht, Joel A. Tropp, Ji Liu, Steve Wright, Michael R. Anderson, Feng Niu, Ce Zhang, Michael Cafarella and Matthew Burgess and has published in prestigious journals such as Journal of Machine Learning Research, Neural Information Processing Systems and Conference on Innovative Data Systems Research.

In The Last Decade

Victor Bittorf

5 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victor Bittorf United States	4	145	70	63	58	51	5	254
Anastasios Zouzias Canada	9	211 1.5×	147 2.1×	106 1.7×	50 0.9×	28 0.5×	13	353
Boulos Harb United States	8	249 1.7×	54 0.8×	92 1.5×	55 0.9×	105 2.1×	17	335
Srinivas Vadrevu United States	9	202 1.4×	24 0.3×	55 0.9×	46 0.8×	27 0.5×	17	287
Gereon Frahling Germany	7	179 1.2×	23 0.3×	102 1.6×	112 1.9×	102 2.0×	10	365
Morteza Monemizadeh United States	9	161 1.1×	46 0.7×	56 0.9×	112 1.9×	56 1.1×	24	303
Mukund Narasimhan United States	10	159 1.1×	10 0.1×	84 1.3×	36 0.6×	39 0.8×	14	272
Pham Dinh Tao France	5	69 0.5×	73 1.0×	65 1.0×	34 0.6×	10 0.2×	6	312
Prajakta Nimbhorkar India	6	83 0.6×	10 0.1×	42 0.7×	53 0.9×	31 0.6×	21	227
Ankan Saha United States	5	140 1.0×	49 0.7×	32 0.5×	23 0.4×	12 0.2×	14	216
Jinliang Fan United States	6	349 2.4×	24 0.3×	83 1.3×	245 4.2×	95 1.9×	10	488

Countries citing papers authored by Victor Bittorf

Since Specialization

Citations

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

Fields of papers citing papers by Victor Bittorf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Bittorf

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

All Works

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5 of 5 papers shown

1.

Bittorf, Victor, Marcel Kornacker, Christopher Ré, & Ce Zhang. (2014). Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted.. 55–56. 1 indexed citations

2.

Anderson, Michael R., Victor Bittorf, Matthew Burgess, et al.. (2013). Brainwash: A data system for feature engineering. Conference on Innovative Data Systems Research. 68 indexed citations

3.

Wright, Stephen J., et al.. (2013). An Approximate, Efficient LP Solver for LP Rounding. Neural Information Processing Systems. 26. 2895–2903. 8 indexed citations

4.

Liu, Ji, et al.. (2013). An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. Journal of Machine Learning Research. 16(1). 285–322. 94 indexed citations

5.

Recht, Ben, Christopher Ré, Joel A. Tropp, & Victor Bittorf. (2012). Factoring nonnegative matrices with linear programs. Neural Information Processing Systems. 25. 1214–1222. 83 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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