Pankaj Goyal

102 total papers · 3.2k total citations
59 papers, 780 citations indexed

About

Pankaj Goyal is a scholar working on Computer Networks and Communications, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pankaj Goyal has authored 59 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pankaj Goyal's work include Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), Asthma and respiratory diseases (10 papers) and Advanced Database Systems and Queries (9 papers). Pankaj Goyal is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), Asthma and respiratory diseases (10 papers) and Advanced Database Systems and Queries (9 papers). Pankaj Goyal collaborates with scholars based in Canada, United States and Switzerland. Pankaj Goyal's co-authors include Pablo Altman, Tadhg Guerin, Fereidoon Sadri, Bipin C. Desai, Κonstantinos Κostikas, Robert Fogel, Jadwiga A. Wedzicha, Kenneth R. Chapman, Rao Mikkilineni and Hungta Chen and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Thorax and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Pankaj Goyal

54 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
Pankaj Goyal	434	328	132	104	104	59	780
Hansong Wang	86 0.2×	91 0.3×	76 0.6×	34 0.3×	71 0.7×	40	794
Alessandro Zanasi	225 0.5×	179 0.5×	22 0.2×	129 1.2×	117 1.1×	45	805
Amit Shukla	278 0.6×	147 0.4×	490 3.7×	207 2.0×	154 1.5×	42	891
Adolfo Muñoz Carrero	113 0.3×	46 0.1×	68 0.5×	58 0.6×	71 0.7×	42	758
James Morris	54 0.1×	74 0.2×	137 1.0×	107 1.0×	192 1.8×	51	886
Bei Pei	51 0.1×	138 0.4×	75 0.6×	55 0.5×	50 0.5×	52	652
Dario Salvi	61 0.1×	81 0.2×	71 0.5×	20 0.2×	32 0.3×	55	857
P Zech	59 0.1×	44 0.1×	58 0.4×	136 1.3×	67 0.6×	83	734
Yen‐Cheng Chen	90 0.2×	21 0.1×	112 0.8×	73 0.7×	75 0.7×	81	708
Michael T. Chang	131 0.3×	73 0.2×	333 2.5×	49 0.5×	72 0.7×	56	895

Countries citing papers authored by Pankaj Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Pankaj Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Goyal

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