S. N. Afriat

133 total papers · 2.8k total citations
47 papers, 1.2k citations indexed

About

S. N. Afriat is a scholar working on Economics and Econometrics, Computational Theory and Mathematics and General Economics, Econometrics and Finance. According to data from OpenAlex, S. N. Afriat has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 7 papers in Computational Theory and Mathematics and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in S. N. Afriat's work include Economic theories and models (15 papers), Economics of Agriculture and Food Markets (5 papers) and Matrix Theory and Algorithms (5 papers). S. N. Afriat is often cited by papers focused on Economic theories and models (15 papers), Economics of Agriculture and Food Markets (5 papers) and Matrix Theory and Algorithms (5 papers). S. N. Afriat collaborates with scholars based in United States, Canada and Italy. S. N. Afriat's co-authors include R. G. D. Allen, Carlo Milana, H. G. Eggleston, J. S. Cramer, Karl A. Fox, M. V. Rama Sastry, Angus Deaton and Gerhard Tintner and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and The Economic Journal.

In The Last Decade

S. N. Afriat

41 papers receiving 1.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
S. N. Afriat	815	290	184	154	146	47	1.2k
Marcel K. Richter	990 1.2×	453 1.6×	101 0.5×	157 1.0×	254 1.7×	39	1.3k
Tom Wansbeek	684 0.8×	68 0.2×	379 2.1×	170 1.1×	183 1.3×	77	1.7k
Federico Echenique	908 1.1×	299 1.0×	129 0.7×	39 0.3×	521 3.6×	94	1.4k
R. L. Basmann	710 0.9×	87 0.3×	157 0.9×	279 1.8×	132 0.9×	63	1.5k
Rosa L. Matzkin	976 1.2×	139 0.5×	369 2.0×	211 1.4×	170 1.2×	34	1.4k
Azeem M. Shaikh	541 0.7×	51 0.2×	97 0.5×	156 1.0×	210 1.4×	59	1.6k
Meir Smorodinsky	739 0.9×	68 0.2×	47 0.3×	46 0.3×	482 3.3×	35	1.5k
Marco Mariotti	967 1.2×	600 2.1×	200 1.1×	30 0.2×	357 2.4×	72	1.4k
Josef Hadar	928 1.1×	341 1.2×	42 0.2×	186 1.2×	635 4.3×	33	1.7k
Carl Christian von Weizsäcker	911 1.1×	54 0.2×	180 1.0×	307 2.0×	124 0.8×	68	1.3k

Countries citing papers authored by S. N. Afriat

Since Specialization

Citations

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

Fields of papers citing papers by S. N. Afriat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. N. Afriat. 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 S. N. Afriat. The network helps show where S. N. Afriat may publish in the future.

Co-authorship network of co-authors of S. N. Afriat

This figure shows the co-authorship network connecting the top 25 collaborators of S. N. Afriat. A scholar is included among the top collaborators of S. N. Afriat 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 S. N. Afriat. S. N. Afriat 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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