S. H. Pakzad

34 total papers · 708 total citations
20 papers, 370 citations indexed

About

S. H. Pakzad is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, S. H. Pakzad has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in S. H. Pakzad's work include Advanced Database Systems and Queries (14 papers), Data Management and Algorithms (5 papers) and Distributed systems and fault tolerance (4 papers). S. H. Pakzad is often cited by papers focused on Advanced Database Systems and Queries (14 papers), Data Management and Algorithms (5 papers) and Distributed systems and fault tolerance (4 papers). S. H. Pakzad collaborates with scholars based in United States. S. H. Pakzad's co-authors include Ali R. Hurson, M. W. Bright, L. L. Miller, Bo Jin, Margaret H. Eich and Behrooz Shirazi and has published in prestigious journals such as Computer, ACM Transactions on Database Systems and Computer-Aided Civil and Infrastructure Engineering.

In The Last Decade

S. H. Pakzad

19 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
S. H. Pakzad	257	203	132	103	45	20	370
Richard Brice	250 1.0×	239 1.2×	164 1.2×	75 0.7×	25 0.6×	22	412
Lipyeow Lim	215 0.8×	221 1.1×	121 0.9×	135 1.3×	64 1.4×	32	361
Ken Baclawski	276 1.1×	149 0.7×	173 1.3×	78 0.8×	46 1.0×	11	444
Stefan Deßloch	251 1.0×	142 0.7×	167 1.3×	120 1.2×	55 1.2×	38	383
Robert Gwadera	180 0.7×	222 1.1×	159 1.2×	170 1.7×	22 0.5×	26	414
Chen-Chuan K. Chang	242 0.9×	202 1.0×	247 1.9×	110 1.1×	30 0.7×	14	413
Michalis Petropoulos	242 0.9×	170 0.8×	215 1.6×	134 1.3×	54 1.2×	25	372
Eugene Inseok Chong	262 1.0×	268 1.3×	131 1.0×	109 1.1×	43 1.0×	15	360
Souripriya Das	261 1.0×	272 1.3×	134 1.0×	108 1.0×	44 1.0×	15	362
Kedar Dhamdhere	206 0.8×	129 0.6×	58 0.4×	95 0.9×	45 1.0×	15	353

Countries citing papers authored by S. H. Pakzad

Since Specialization

Citations

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

Fields of papers citing papers by S. H. Pakzad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. H. Pakzad

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