Aditya Bhaskara

100 total papers · 1.6k total citations
38 papers, 394 citations indexed

About

Aditya Bhaskara is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Aditya Bhaskara has authored 38 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Signal Processing. Recurrent topics in Aditya Bhaskara's work include Complexity and Algorithms in Graphs (9 papers), Optimization and Search Problems (7 papers) and Privacy-Preserving Technologies in Data (5 papers). Aditya Bhaskara is often cited by papers focused on Complexity and Algorithms in Graphs (9 papers), Optimization and Search Problems (7 papers) and Privacy-Preserving Technologies in Data (5 papers). Aditya Bhaskara collaborates with scholars based in United States, Switzerland and Iran. Aditya Bhaskara's co-authors include Aravindan Vijayaraghavan, Moses Charikar, Eden Chlamtáč, Uriel Feige, Ankur Moitra, Vahab Mirrokni, Silvio Lattanzi, Yuan Zhou, Venkatesan Guruswami and MohammadHossein Bateni and has published in prestigious journals such as PLoS ONE, Mathematical Programming and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Aditya Bhaskara

32 papers receiving 369 citations

Author Peers

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

Author						Papers	Cites
Aditya Bhaskara	176	155	107	51	39	38	394
Aravindan Vijayaraghavan	182 1.0×	138 0.9×	82 0.8×	27 0.5×	34 0.9×	27	338
Lorenzo Orecchia	167 0.9×	141 0.9×	109 1.0×	38 0.7×	59 1.5×	21	406
Luis Rademacher	98 0.6×	193 1.2×	45 0.4×	96 1.9×	180 4.6×	26	399
Hariharan Narayanan	163 0.9×	128 0.8×	71 0.7×	47 0.9×	22 0.6×	42	445
Thorsten Theobald	222 1.3×	75 0.5×	35 0.3×	13 0.3×	71 1.8×	42	421
Petr Savický	188 1.1×	236 1.5×	48 0.4×	40 0.8×	11 0.3×	34	409
Y. N. Lakshman	296 1.7×	97 0.6×	33 0.3×	27 0.5×	67 1.7×	17	391
Nati Linial	216 1.2×	169 1.1×	52 0.5×	21 0.4×	22 0.6×	34	354
Gianna M. Del Corso	140 0.8×	170 1.1×	48 0.4×	52 1.0×	10 0.3×	42	404
Xiaoye Li	69 0.4×	69 0.4×	60 0.6×	31 0.6×	28 0.7×	40	395

Countries citing papers authored by Aditya Bhaskara

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Bhaskara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Bhaskara

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