Saim Kashmiri

38 total papers · 1.0k total citations
25 papers, 736 citations indexed

About

Saim Kashmiri is a scholar working on Accounting, Strategy and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Saim Kashmiri has authored 25 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Accounting, 9 papers in Strategy and Management and 8 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Saim Kashmiri's work include Corporate Finance and Governance (15 papers), Corporate Social Responsibility Reporting (7 papers) and Family Business Performance and Succession (7 papers). Saim Kashmiri is often cited by papers focused on Corporate Finance and Governance (15 papers), Corporate Social Responsibility Reporting (7 papers) and Family Business Performance and Succession (7 papers). Saim Kashmiri collaborates with scholars based in United States, Canada and Denmark. Saim Kashmiri's co-authors include Vijay Mahajan, Sandeep Arora, Jacob Brower, Liwu Hsu, Chi Zhang, Christopher L. Newman, David Gligor, Kimberly A. Whitler, Ali Besharat and Shahram Payandeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marketing and Journal of Marketing Research.

In The Last Decade

Saim Kashmiri

22 papers receiving 692 citations

Author Peers

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

Author						Papers	Cites
Saim Kashmiri	322	275	241	184	176	25	736
Jianhong Chen	255 0.8×	288 1.0×	364 1.5×	223 1.2×	97 0.6×	28	869
Joseph Harrison	382 1.2×	206 0.7×	248 1.0×	165 0.9×	53 0.3×	19	733
Scott A. Jeffrey	331 1.0×	138 0.5×	144 0.6×	198 1.1×	204 1.2×	24	849
David H. Zhu	438 1.4×	212 0.8×	240 1.0×	110 0.6×	38 0.2×	31	726
Steve Gove	273 0.8×	218 0.8×	458 1.9×	90 0.5×	112 0.6×	18	801
Humphry Hung	236 0.7×	235 0.9×	239 1.0×	82 0.4×	96 0.5×	21	659
Justin L. Davis	261 0.8×	239 0.9×	194 0.8×	538 2.9×	45 0.3×	25	831
Alan T. Shao	193 0.6×	144 0.5×	437 1.8×	97 0.5×	285 1.6×	35	902
David A. Baucus	188 0.6×	260 0.9×	367 1.5×	118 0.6×	57 0.3×	12	783
Scott W. Geiger	242 0.8×	188 0.7×	404 1.7×	127 0.7×	81 0.5×	27	841

Countries citing papers authored by Saim Kashmiri

Since Specialization

Citations

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

Fields of papers citing papers by Saim Kashmiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saim Kashmiri

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