Chris Laszlo

97 total papers · 526 total citations
21 papers, 215 citations indexed

About

Chris Laszlo is a scholar working on Management Science and Operations Research, Demography and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Chris Laszlo has authored 21 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Demography and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Chris Laszlo's work include Workplace Spirituality and Leadership (3 papers), Complex Systems and Decision Making (3 papers) and Community Development and Social Impact (2 papers). Chris Laszlo is often cited by papers focused on Workplace Spirituality and Leadership (3 papers), Complex Systems and Decision Making (3 papers) and Community Development and Social Impact (2 papers). Chris Laszlo collaborates with scholars based in United States, Italy and Chile. Chris Laszlo's co-authors include Sandra Waddock, Ignacio Pavez, David L. Cooperrider, Robert Sroufe, John R. Ehrenfeld, Julia Storberg‐Walker, George Klein, Michael Pirson, Ronald Fry and David C. Korten and has published in prestigious journals such as Sustainability, Organizational Dynamics and Journal of Management Spirituality & Religion.

In The Last Decade

Chris Laszlo

20 papers receiving 203 citations

Author Peers

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

Author Last Decade Papers Cites
Chris Laszlo 68 55 46 33 30 21 215
Isabel Rimanoczy 66 1.0× 52 0.9× 58 1.3× 37 1.1× 19 0.6× 20 263
Emilio Domínguez-Escrig 99 1.5× 135 2.5× 49 1.1× 27 0.8× 35 1.2× 16 274
Ataullah Kiani 95 1.4× 74 1.3× 32 0.7× 34 1.0× 41 1.4× 25 293
Peter Khaola 139 2.0× 70 1.3× 62 1.3× 55 1.7× 18 0.6× 22 305
Irfan Ullah 130 1.9× 116 2.1× 81 1.8× 28 0.8× 12 0.4× 25 325
Sam Kris Hilton 133 2.0× 57 1.0× 15 0.3× 36 1.1× 18 0.6× 20 313
Taran Patel 125 1.8× 70 1.3× 24 0.5× 49 1.5× 13 0.4× 30 304
Ana Paula Rodrigues 121 1.8× 102 1.9× 32 0.7× 72 2.2× 22 0.7× 22 324
Тjaša Štrukelj 75 1.1× 79 1.4× 27 0.6× 52 1.6× 7 0.2× 22 262
Slavica Mitrović 168 2.5× 54 1.0× 23 0.5× 41 1.2× 10 0.3× 23 322

Countries citing papers authored by Chris Laszlo

Since Specialization
Citations

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

Fields of papers citing papers by Chris Laszlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Laszlo

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