Parang Saraf

26 total papers · 797 total citations
11 papers, 301 citations indexed

About

Parang Saraf is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Parang Saraf has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Parang Saraf's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (4 papers) and Data Visualization and Analytics (3 papers). Parang Saraf is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (4 papers) and Data Visualization and Analytics (3 papers). Parang Saraf collaborates with scholars based in United States, Ecuador and Puerto Rico. Parang Saraf's co-authors include Naren Ramakrishnan, Fang Jin, Yang Cao, Edward J. Dougherty, Nathan Self, P. J. Butler, Wei Wang, Andrew Hoegh, Scotland Leman and Brian J. Goode and has published in prestigious journals such as PLoS ONE, Technometrics and Social Network Analysis and Mining.

In The Last Decade

Parang Saraf

11 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Parang Saraf	152	146	89	74	44	11	301
Lokesh Jain	136 0.9×	68 0.5×	54 0.6×	143 1.9×	27 0.6×	18	335
Akshay Patil	70 0.5×	86 0.6×	89 1.0×	42 0.6×	23 0.5×	10	282
Nishith Pathak	189 1.2×	70 0.5×	90 1.0×	97 1.3×	17 0.4×	16	307
Ussama Yaqub	56 0.4×	128 0.9×	69 0.8×	158 2.1×	17 0.4×	15	317
Parantapa Bhattacharya	142 0.9×	78 0.5×	111 1.2×	143 1.9×	9 0.2×	24	364
Çiğdem Aslay	180 1.2×	40 0.3×	86 1.0×	67 0.9×	25 0.6×	15	272
Mark Meiss	102 0.7×	73 0.5×	104 1.2×	64 0.9×	6 0.1×	10	274
Cheng-Yang Lai	79 0.5×	145 1.0×	54 0.6×	71 1.0×	26 0.6×	11	304
Eldar Sadikov	77 0.5×	41 0.3×	122 1.4×	106 1.4×	25 0.6×	6	275
Jiang Zhu	202 1.3×	125 0.9×	37 0.4×	73 1.0×	8 0.2×	26	357

Countries citing papers authored by Parang Saraf

Since Specialization

Citations

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

Fields of papers citing papers by Parang Saraf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parang Saraf

This figure shows the co-authorship network connecting the top 25 collaborators of Parang Saraf. A scholar is included among the top collaborators of Parang Saraf 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 Parang Saraf. Parang Saraf 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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