Steve Lovett

34 total papers · 819 total citations
24 papers, 606 citations indexed

About

Steve Lovett is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management and Management Information Systems. According to data from OpenAlex, Steve Lovett has authored 24 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Strategy and Management, 5 papers in Organizational Behavior and Human Resource Management and 4 papers in Management Information Systems. Recurrent topics in Steve Lovett's work include Corporate Finance and Governance (3 papers), Higher Education Research Studies (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). Steve Lovett is often cited by papers focused on Corporate Finance and Governance (3 papers), Higher Education Research Studies (3 papers) and Job Satisfaction and Organizational Behavior (2 papers). Steve Lovett collaborates with scholars based in United States, United Kingdom and Mexico. Steve Lovett's co-authors include Raja Kali, Lee C. Simmons, Abdul Rasheed, David A. Harrison, Meghna Virick, Joo Y. Jung, James E. Hunton, Kenneth H. Price, Mark Tippett and Kees van den Bos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of International Business Studies and Organizational Behavior and Human Decision Processes.

In The Last Decade

Steve Lovett

22 papers receiving 555 citations

Author Peers

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

Author Last Decade Papers Cites
Steve Lovett 244 240 154 106 60 24 606
Alessandro Piazza 198 0.8× 228 0.9× 256 1.7× 78 0.7× 58 1.0× 27 622
William Y. Degbey 194 0.8× 303 1.3× 102 0.7× 73 0.7× 79 1.3× 23 698
Bradley J. Olson 295 1.2× 205 0.9× 184 1.2× 122 1.2× 29 0.5× 30 667
María de la Luz Fernández Alles 214 0.9× 245 1.0× 85 0.6× 126 1.2× 40 0.7× 28 655
José Luis Álvarez 277 1.1× 188 0.8× 174 1.1× 78 0.7× 39 0.7× 31 676
Willie E. Hopkins 324 1.3× 170 0.7× 124 0.8× 101 1.0× 57 0.9× 31 683
Mike Aiken 182 0.7× 242 1.0× 178 1.2× 46 0.4× 38 0.6× 18 619
John Seidler 152 0.6× 190 0.8× 226 1.5× 55 0.5× 68 1.1× 19 663
Ann‐Marie Nienaber 227 0.9× 142 0.6× 124 0.8× 46 0.4× 64 1.1× 37 519
Linda Orr 152 0.6× 255 1.1× 141 0.9× 54 0.5× 124 2.1× 27 568

Countries citing papers authored by Steve Lovett

Since Specialization
Citations

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

Fields of papers citing papers by Steve Lovett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Lovett

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