Robert M. Farber

430 total citations
11 papers, 304 citations indexed

About

Robert M. Farber is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Robert M. Farber has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 4 papers in Computer Networks and Communications and 3 papers in Hardware and Architecture. Recurrent topics in Robert M. Farber's work include Parallel Computing and Optimization Techniques (3 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). Robert M. Farber is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). Robert M. Farber collaborates with scholars based in United States, Hong Kong and Canada. Robert M. Farber's co-authors include Alan S. Lapedes, Bette Korber, David H. Wolpert, I.G. Kevrekidis, John L. Hudson, M. Kube, Ramiro Rico-Martı́nez, Robert E. Ecke, Courtney D. Corley and W. N. Reynolds and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Engineering Science and Machine Learning.

In The Last Decade

Robert M. Farber

9 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert M. Farber United States	5	155	63	46	45	43	11	304
Ora E. Percus United States	11	65 0.4×	31 0.5×	30 0.7×	63 1.4×	18 0.4×	36	332
Xia Liu China	12	101 0.7×	15 0.2×	50 1.1×	18 0.4×	40 0.9×	56	503
Hongguang Fu China	8	143 0.9×	7 0.1×	25 0.5×	65 1.4×	19 0.4×	27	323
Pierre Vincent Graves France	11	546 3.5×	32 0.5×	78 1.7×	13 0.3×	40 0.9×	15	693
Gabriel Caffarena Spain	10	118 0.8×	24 0.4×	10 0.2×	45 1.0×	14 0.3×	46	414
В. А. Лихошвай Russia	12	304 2.0×	17 0.3×	35 0.8×	8 0.2×	105 2.4×	63	521
Robert P. Bennett United States	10	80 0.5×	70 1.1×	9 0.2×	7 0.2×	34 0.8×	14	408
Rafael Rosales United States	10	220 1.4×	282 4.5×	15 0.3×	33 0.7×	56 1.3×	30	630
Hardik Joshi India	14	93 0.6×	6 0.1×	36 0.8×	26 0.6×	26 0.6×	25	470
Ricky Chachra United States	3	102 0.7×	8 0.1×	42 0.9×	23 0.5×	14 0.3×	3	250

Countries citing papers authored by Robert M. Farber

Since Specialization

Citations

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

Fields of papers citing papers by Robert M. Farber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Farber. 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 Robert M. Farber. The network helps show where Robert M. Farber may publish in the future.

Co-authorship network of co-authors of Robert M. Farber

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

All Works

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11 of 11 papers shown

Reynolds, W. N., et al.. (2013). Sociolect-based community detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 221–226. 3 indexed citations

Corley, Courtney D., Robert M. Farber, & W. N. Reynolds. (2012). Thought leaders during crises in massive social networks. Statistical Analysis and Data Mining The ASA Data Science Journal. 5(3). 205–217. 1 indexed citations

Farber, Robert M.. (2011). Topical perspective on massive threading and parallelism. Journal of Molecular Graphics and Modelling. 30. 82–89. 16 indexed citations

Reynolds, W. N., et al.. (2010). Social media and social reality. 221–226. 7 indexed citations

Farber, Robert M.. (2010). Introduction to GPGPUs and Massively Threaded Programming. 43–62. 1 indexed citations

Farber, Robert M., W.W. Kinnison, & Alan S. Lapedes. (2002). A parallel non-neural trigger tracker for the SSC. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). i. 67–72.

Lapedes, Alan S., et al.. (1995). Use of adaptive networks to define highly predictable protein secondary-structure classes. Machine Learning. 21(1-2). 103–124. 2 indexed citations

Kevrekidis, I.G., Ramiro Rico-Martı́nez, Robert E. Ecke, Robert M. Farber, & Alan S. Lapedes. (1994). Global bifurcations in Rayleigh-Bénard convection. Experiments, empirical maps and numerical bifurcation analysis. Physica D Nonlinear Phenomena. 71(3). 342–362. 17 indexed citations

Korber, Bette, Robert M. Farber, David H. Wolpert, & Alan S. Lapedes. (1993). Covariation of mutations in the V3 loop of human immunodeficiency virus type 1 envelope protein: an information theoretic analysis.. Proceedings of the National Academy of Sciences. 90(15). 7176–7180. 203 indexed citations

10.

Farber, Robert M.. (1993). Efficiently modeling neural networks on massively parallel computers. NASA Technical Reports Server (NASA).

11.

Hudson, John L., et al.. (1990). Nonlinear signal processing and system identification: applications to time series from electrochemical reactions. Chemical Engineering Science. 45(8). 2075–2081. 54 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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